A morphological analysis of the design space of input devices
Open accessAbstract
The market now contains a bewildering variety of input devices for communication from humans to computers. This paper discusses a means to systematize these devices through morphological design space analysis, in which different input device designs are taken as points in a parametrically described design space. The design space is characterized by finding methods to generate and test design points. In a previous paper, we discussed a method for generating the space of input device designs using primitive and compositional movement operators. This allowed us to propose a taxonomy of input devices. In this paper, we summarize the generation method and explore the use of device footprint and Fitts's law as a test. We then use calculations to reason about the design space. Calculations are used to show why the mouse is a more effective device than the headmouse and where in the design space there is likely to be a more effective device than the mouse.
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Claims the paper makes
0 of 15 cited sources checked · 0 supported · 0 flagged
- Findingnone given
The manipulation operators in Table I represent all combinations of linear and rotary, absolute and relative, and position and force.
“They represent all combinations of linear and rotary, absolute and relative, and position and force.”
Quote in the paperSubstantial claim - Findingcitation
The model of the input device design space has been used to help design novel egocentric motion devices for virtual 3-D environments.
“In particular, we have used our model of the input device design space to help design novel egocentric motion devices for virtual 3-D environments [23,29].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Findingown data
With the exception of voice, all of the devices considered so far can be positioned in the taxonomy.
“With the exception of voice, we have been able to position all of the devices considered so far.”
Quote in the paperSubstantial claim - Findingown data
The target size ranges from 5.5 cm for a typical paragraph to 0.069 cm for a period.
“The target size (column (1) in the table) ranges from 5.5 cm for a typical paragraph to 0.069 cm for a period.”
Quote in the paperNot a substantial claim - Findingown data
The tablet and the mouse are very expensive in footprint relative to other devices.
“Several facts about the design space of potential devices are evident from the diagram: (1) The tablet and the mouse are very expensive in footprint relative to other devices.”
Quote in the paperNot a substantial claim
- Findingreasoning
The mouse's precision, defined as the Index of Difficulty of the easiest hard task, is 4.59 bits.
“For the mouse, this is the 1~of the character, or 4.59 bits.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
- Findingreasoning
The Fitts's Index of Difficulty ranges from 1.18 bits for pointing to a paragraph to 7.14 bits for pointing to a period.
“ID ranges from 1.18 bits for pointing to a paragraph to 7.14 bits for pointing to a period.”
Quote in the paperNot a substantial claim - Findingreasoning
We can distinguish systematically among devices used in other taxonomies.
“We have shown that we can distinguish systematically among devices used in other taxonomies.”
Quote in the paperSubstantial claim - Findingreasoning
For a headmouse, pointing to a word requires 540 ms.
“For a headmouse, pointing to a word requires MovementTime [ headmouse, word] = 240 ins/bit .2.24 bits = 540 ms.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
- Premisecitation
Performance studies have established abstractions, including Fitts's relation, which expresses the linkage between device performance and fundamental performance parameters of the human.
“The performance studies have, however, established abstractions, including Fitts's relation [20], which, in turn, expresses the linkage between device performance and fundamental performance parameters of the human.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] 20. LANGOLF, G. D. Human motor performance in precise microscopic work. Ph.D. dissertation, Dept. of Indsutrial Engineering, Univ. of Michigan, Ann Arbor, Mich., 1973. (Also published by the MTM Association, Fairlawn, N J., 1973.)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The mouse is a more effective device than the headmouse.
“Calculations are used to show why the mouse is a more effective device than the headmouse and where in the design space there is likely to be a more effective device than the mouse.”
Quote in the paperSubstantial claim - Interpretationreasoning
A mouse can be thought of as the merge composition of two orthogonal one-dimensional sliders.
“A mouse can be thought of as the merge composition of two orthogonal one-dimensional sliders.”
Quote in the paperNot a substantial claim - Interpretationreasoning
There is likely to be a more effective device than the mouse somewhere in the design space.
“Calculations are used to show why the mouse is a more effective device than the headmouse and where in the design space there is likely to be a more effective device than the mouse.”
Quote in the paperSubstantial claim - Interpretationown data
The headmouse is not likely to be successful for text editing because its transducer is attached to a muscle group that does not have enough bandwidth to place the tasks of interest in the easy region.
“calculation shows that the headmouse is not likely to be successful for text editing for the fundamental reason that, despite the fact that the headmouse has an impressive transducer, this transducer is attached to a muscle group that does not have enough bandwidth to place the tasks of interest in the easy region.”
- Also stated in: § 3.3 Example 1: Effect of Muscle Groups on input Devices · hedged
“Incidentally, a similar analysis for editing would suggest that the headmouse is not very good for text editing because the transducer has been connected to a muscle with too little bandwidth for the precision of editing subtasks, such as pointing to a character.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
- Also stated in: § 3.3 Example 1: Effect of Muscle Groups on input Devices · hedged
- Interpretationreasoning
Input device design effectiveness can be roughly characterized in terms of the bandwidth of the human muscle group, the precision requirements of the task, and the effective bandwidth of the input device.
“But we can give a rough characterization of input device design effectiveness in terms of the following: (1) human-the bandwidth of the human muscle group to which the input device transducer is attached; (2) application-the precision requirements of the task to be done with the device; and (3) device-the effective bandwidth of the input device.”
Quote in the paperSubstantial claim - Interpretationreasoning
The muscle group that is connected to an input device may impose inherent bandwidth limitations on that device.
“but the point is that the muscle group that is connected to an input device may impose inherent bandwidth limitations on that device.”
Quote in the paperSubstantial claim - Premisecitation
Continuous tasks have a 2-3 bits/s higher bandwidth value than serial tasks.
“since Langolfs measurements [18] were made using a serial task and since we are interested in discrete tasks, we have to adjust for the 2-3 bits/s higher value in continuous tasks [20].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] 20. LANGOLF, G. D. Human motor performance in precise microscopic work. Ph.D. dissertation, Dept. of Indsutrial Engineering, Univ. of Michigan, Ann Arbor, Mich., 1973. (Also published by the MTM Association, Fairlawn, N J., 1973.)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Each group of linked circles in Figure 3, which collectively represent a device, is only a single point in a very large design space.
“It is important to note that each group of linked circles in Figure 3, which collectively represent a device, is only a single point in a very large design space and that variants in devices are possible (e.g., in the input or output domains or the mappings), which are below the level of detail visualized in the figure.”
Quote in the paperNot a substantial claim - Premisecitation
More of the motor cortex is devoted to some groups of muscles (such as the fingers) than to others (such as the neck).
“Figure 6 shows that more of the motor cortex is devoted to some groups of muscles (such as the fingers) than to others (such as the neck).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] 26. OLSEN, D. R., AND HALVERSON, B. W. Interface usage measurements in a user interface management system. In Proceedings of th e ACM SIGGRAPH Symposium on User Interface So&oare (Banff, Alberta, Canada, Oct. 17-19, 1988). ACM, New York, 1988, pp. 102-108.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductcitation
The normalizations used to estimate bandwidth differences among muscles are compatible with direct measurements on the mouse.
“These normalizations are compatible with direct measurements on the mouse [9], which have been added to Figure 8.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] 9. CARD, S. K. Human factors and artificial intelligence, In Intelligent Interfaces; Z%eory, Research and Design, P. A. Hancock and M. H. Chignell, Eds. Elsevier Science Publishers B. V., North-Holland, Amsterdam, 1989, pp. 270-284. source
- Premisereasoning
In the case of input devices, the manipulations of an input device can be analyzed as sentences in a formal language of communication.
“In the case of input devices, we can analyze the manipulations of an input device as sentences in a formal language of communication.”
Quote in the paperSubstantial claim - Interpretationown data
A user can point to a character with the mouse in about the same time it takes a user with the headmouse to point to a word.
“A user can point to a character with the mouse in about the same time it takes a user with the headmouse to point to a word”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
- Premisecitation
Human-machine interaction can be modeled as interaction in an artificial language among at least three agents: a human, a user dialogue machine, and an application.
“Such an interaction can be modeled as the interaction in an artificial language among at least three agents [8,31]:”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [8] 8. BUXTON, W. Lexical and pragmatic considerations of input structures. Comput. Graph. 17, 1 (Jan. 1983), 31-37. source
- cites [31] 31. ROBERTSON,G. G. , CARD, S. K., AND MACKINLAY, J. The cognitive coprocessor architecture for interactive user interfaces. In Proceedings of the ACM-SZGGRAPH Symposium on User interface Software and Technology (Williamsburg, Va., Nov. 13-15, 1989). ACM, New York, 1989, pp. 10-18. source
- Interpretationreasoning
If a finger-operated device with 40 bits/s bandwidth could be built, all tasks, even pointing to a single period, might be made into easy tasks.
“If such a device could be built, Figure 9C shows that all of the tasks, even the high-precision task of pointing to a single period, might be made into easy tasks.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
- Interpretationreasoning
For pull-down menus on the original Macintosh (12-inch screen) and on the SuperMac (19-inch screen), the mouse must be able to move from any place on the screen to the menu bar at the extreme top of the screen, so its footprint is an image of virtually the entire screen in the movement of the device.
“The mouse must be able to move from any place on the screen to the menu bar, which is at the extreme top of the screen.The footprint is, therefore, an image of virtually the entire screen in the movement of the device.”
Quote in the paperSubstantial claim - Premisecitation
Using Welford's formulation of the Fitts's Index of Difficulty would reduce the measured bandwidth by 0.3-0.4 bit/s.
“Mackenzie's reanalysis of Fitts's data ([19,Table 2]) suggests that this would reduce the measured bandwidth by 0.3 -0.4 bit/s.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19,Table 2]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
The design of human-machine dialogues is, at least in part, the design of artificial languages for this communication.
“The design of human-machine dialogues is, at least in part, the design of artificial languages for this communication.”
Quote in the paperNot a substantial claim - Premisecitation
Equation (1) is inaccurate for pointing tasks with an Index of Difficulty below about 2 bits.
“A technical difficulty is that eq. ( 1) has been shown to be inaccurate for pointing tasks with Z~below about 2 bits (very easy tasks) [351.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [351]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Higher-resolution mice use an improved sensor to get a smaller footprint without sacrificing speed.
“The other, higher-resolution mice, uses an improved sensor to get a smaller footprint without sacrificing speed.”
Quote in the paperNot a substantial claim - Interpretationown data
Using the bandwidth of the fingers is a promising direction for developing a device to beat the mouse.
“The present analysis also suggests a promising direction for developing a device to beat the mouse by using the bandwidth of the fingers.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
- Interpretationnone given
Speed of use is a joint product of the human, the application, and the device.
“It is usually desirable for an input device to be as fast to use as possible, but speed of use is actually a joint product of all three elements in our model: (1) the human, (2) the application, and (3) the device.”
Quote in the paperSubstantial claim - Premisecitation
Some groups of muscles can be controlled more finely than other groups of muscles.
“Some groups of muscles can be controlled more finely than other groups of muscles.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] 26. OLSEN, D. R., AND HALVERSON, B. W. Interface usage measurements in a user interface management system. In Proceedings of th e ACM SIGGRAPH Symposium on User Interface So&oare (Banff, Alberta, Canada, Oct. 17-19, 1988). ACM, New York, 1988, pp. 102-108.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 14
- Classified as probably not a substantial claim. 24
- The quote only partly states this claim. 1
May combine two claims.
Findingnone givenTwo devices (trackball and joystick) have small footprints that are independent of screen size.
“Two of the devices (trackball and joystick) have small footprints that are independent of screen size.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe lines in Figure 7 have intercepts near, but not exactly at, the origin.
“The lines in Figure 7 have intercepts near, but not exactly at, the origin.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningThe computed precision of the headmouse is 2.0 bits, compared to 4.6 bits for the mouse.
“Using eq. ( 2), the precision of the headmouse is 440 ms/(240 ins/bit) = 2.0 bits, as compared to the 4.6 bits we computed for the mouse earlier”
Quote in the paperSubstantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
May combine two claims.
Findingnone givenThree devices (light pen, on-screen touch pad, and rotary potentiometers) require no additional footprint.
“Three of the devices (light pen, on-screen touch pad, and rotary potentiometers) require no additional footprint (assuming that no footprint is needed to store the lightpen and that the potentiometers mount on the case).”
Quote in the paperSubstantial claim- The authors state this as an assumption: No footprint is needed to store the lightpen and the potentiometers mount on the case.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). The quote only partly states this claim.
FindingreasoningPointing to a word at the assumed distance of 9.7 cm with a mouse bandwidth of 96 ins/bit takes about 220 ms.
“= 96 ins/bit”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
Probably not a substantial claim: may not pass S4 (based).
Findingnone givenPointing to a character at the assumed distance takes 440 ms.
“Pointing to a character at our assumed distance takes 440 ms.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingreasoningThe intercepts vary slightly from line to line and make comparisons among the muscle groups more difficult.
“These vary slightly from line to line and make comparisons among the muscle groups more difficult.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningThe computed device precision for the fingers is 17.6 bits, almost four times as much as for the mouse.
“The computed device precision for the fingers is 17.6 bits, almost four times as much as for the mouse.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
May combine two claims.
PremisecitationCard, English, and Burr [9] confirmed that the mouse is the fastest device and discovered that pointing speed with the mouse is governed by Fitts's law with a bandwidth similar to that of the hand.
“Card, English, and Burr [9] confirmed these empirical results and discovered that pointing speed with the mouse is governed by Fitts's law [14] with a bandwidth similar to that of the hand.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [9] 9. CARD, S. K. Human factors and artificial intelligence, In Intelligent Interfaces; Z%eory, Research and Design, P. A. Hancock and M. H. Chignell, Eds. Elsevier Science Publishers B. V., North-Holland, Amsterdam, 1989, pp. 270-284. source
- cites [14] 14. EPPS, B., SNYDER, H., AND MUTOL, W. Comparison of six cursor devices on a target acquisition task. In Proceedings of the Society for Information Display (San Diego, Calif., May 6-8, 1986). Society for Information Display, 1986, pp. 302-305. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEnglish and Engelbart [12] found the mouse the fastest device among several devices studied.
“English and Engelbart [12] studied several devices and found the mouse the fastest device.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] 12. CASNER, S. M. A task-analytic approach to the automated design of graphic presentations. ACM Trans. Graph. 10, 2 (Apr. 1991), 111-151. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningPerformance studies have not always agreed, largely because some studies have not attempted to disentangle task, subject, and human performance variables.
“Unfortunately, these studies have not always agreed, largely because some studies have not attempted to disentangle task, subject, and human performance variables.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenVirtually all input devices use some combination of the properties listed in Table I.
“Although other input devices are possible (based, say, on speech or heat), virtually all input devices use some combination of the properties listed in Table I.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenThere are three composition operators: merge composition, layout composition, and connect composition.
“There are three composition operators: (1) merge composition, (2) layout composition, and (3) connect composition.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe actual footprint of some devices such as the mouse depends on the sequence of actions in an application.
“The actual footprint of some devices such as the mouse depends on the sequence of actions in an application.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningFigure 3 is a sufficiently rich depiction of the design space for input devices that it can be used both to classify nearly all existing devices and to generate ideas for new devices not yet invented.
“the point is that Figure 3 is a sufficiently rich depiction of the design space for input devices that it can be used both to classify nearly all existing devices and to generate ideas for new devices not yet invented.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe speed and error performance of a particular device may depend on subtleties such as the relationship between the geometry of the device and the geometry of the hand or coefficients of friction.
“The speed and error performance of a particular device may depend on a number of subtleties such as the relationship between the geometry of the device and the geometry of the hand or coefficients of friction.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataIn the virtual head movement application, the headmouse is precise enough for the viewing task but not precise enough for the pointing task.
“According to the figure, the headmouse, with precision slightly larger than a word, is precise enough for viewing but not for pointing.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Moving the virtual head to look around in the virtual 3-D world is roughly equivalent in difficulty to pointing to a paragraph, and pointing to objects is roughly equivalent to pointing to a character.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe device itself can degrade the achievable performance.
“Of course, the device itself can degrade the achievable performance.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe mouse is more precise than the headmouse; the headmouse could only point to a target with an Index of Difficulty 39 percent as great in the same amount of time.
“This means that the mouse is more precise.To be concrete, it means that the headmouse could only point to a target with an Z~= 1.8/4.6 = 39 percent as great in the same amount of time.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningDevices in the modeling scheme do not have to be physical devices, but can also be virtual devices implemented in software, such as the cursor.
“This illustrates another point about the modeling scheme, namely, that devices do not have to be physical devices, but can also be virtual devices implemented in software, such as the cursor.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningIf the projection of the Out set includes elements that are not in the In set, the user can specify illegal values; if the In set includes values that are not in the projection, the user cannot specify legal values.
“If the projection of the Out set includes elements that are not in the In set, the user can specify illegal values; and if the In set includes values that are not in the projection, the user cannot specify legal values.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenThese figures of merit include human performance measures such as speed and errors, as well as pragmatic concerns such as desktop footprint, panel space, or cost.
“These figures of merit include human performance measures such as speed and errors, as well as pragmatic concerns such as desktop footprint, panel space, or cost.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDifferent muscle groups give rise to different Fitts's law slopes.
“Langolf observed the approximate muscle groups being used and made the observation that different muscle groups gave rise to different Fitts's law slopes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] 18. S. K. Card, et al. 17, 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32 33, 34. 35. 36
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe comparisons made in the paper are not very sensitive to the exact values selected for the parameters.
“Nonetheless, the comparisons we shall make are not very sensitive to the exact values selected for the parameters.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningVariants in devices (e.g., in input or output domains or mappings) are possible below the level of detail visualized in Figure 3.
“It is important to note that each group of linked circles in Figure 3, which collectively represent a device, is only a single point in a very large design space and that variants in devices are possible (e.g., in the input or output domains or the mappings), which are below the level of detail visualized in the figure.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIn some design spaces, expressiveness is a major concern.
“In some design spaces, expressiveness is a major concern.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIn the design of input devices, an expressiveness problem arises when the number of elements in the Out set does not match the number of elements in the In set to which it is connected.
“In the design of input devices, an expressiveness problem arises when the number of elements in the Out set does not match the number of elements in the In set to which it is connected.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataUsing a headmouse instead of a mouse shifts the spectrum of pointing times to the right, so easy tasks become hard or moderate.
“The spectrum of pointing times is shifted to the right.Easy tasks become hard or moderate.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
May combine two claims.
Interpretationown dataIn the virtual head movement application, the mouse is precise enough for both the viewing and pointing tasks.
“Since the task circles contain the filled circles projected from the mouse, it is clear that the mouse is precise enough for both tasks.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Moving the virtual head to look around in the virtual 3-D world is roughly equivalent in difficulty to pointing to a paragraph, and pointing to objects is roughly equivalent to pointing to a character.
Classified as probably not a substantial claim.
InterpretationreasoningThe combination of primitive moves and composition operators gives a parametric abstract representation that represents the space of sentences it is possible to transmit.
“The combination of primitive moves and composition operators gives us a parametric abstract representation that represents the space of sentences it is possible to transmit.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThe design space for input devices is basically the set of possible combinations of the composition operators with the primitive vocabulary.
“The design space for input devices is basically the set of possible combinations of the composition operators with the primitive vocabulary.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe three buttons of a mouse and the XY sensors are all four layout-composed together to form the mouse.
“The three buttons of a mouse and the XY sensors are all four layout-composed together to form the mouse.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningFor the mouse, the output is connected to the input for the screen cursor.
“For the mouse, the output is connected to the input for the screen cursor.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe muscle group to which an input device is connected determines an upper bound on the device's bandwidth, as indexed by the Fitts's law slope.
“This determines an upper bound on the bandwidth of the device (as indexed by the Fitts's law slope).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThis generates the design space of input devices.
“In a sense, this generates the design space of input devices.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Functions of the application program express the semantics of the interaction.
“In our analysis, we make the idealized assumption that functions of the application program express the semantics of the interaction.”
The authors state this as an assumption.
Input devices can be treated as idealized devices without stickiness, significant lags, noise, or linearity problems.
“Generally, we assume somewhat idealized devices without stickiness, significant lags, noise, linearity problems, etc.”
The authors state this as an assumption.
It is possible to express the user's intention in a sentence in the repertoire of the input device.
“Assuming that it is possible to express the user's intention in a sentence in the repertoire of the input device, there is still the question of how well this can be done in terms of speed, errors, or other figures of merit for an input device (in a particular task for a particular user).”
The authors state this as an assumption.
No footprint is needed to store the lightpen and the potentiometers mount on the case.
“assuming that no footprint is needed to store the lightpen and that the potentiometers mount on the case”
The authors state this as an assumption.
The typical target distance is 9.7 cm, half way from the center of a 19-inch screen to the side edge.
“Since we do not have specific data on target distance, the calculation assumes a typical distance of half way from the center of a 19”
The authors state this as an assumption.
The performance of many devices is more or less set by the muscle groups with which the device is designed to connect.
“For the moment, we assume that this is so in order to compute the inherent limitations imposed on a device by the muscle group to which it is connected.”
The authors state this as an assumption.
Moving the virtual head to look around in the virtual 3-D world is roughly equivalent in difficulty to pointing to a paragraph, and pointing to objects is roughly equivalent to pointing to a character.
“For purposes of the calculation, we have assumed that moving the virtual head to look around in the virtual 3-D world is roughly equivalent in difficulty to pointing to a paragraph, and that pointing to objects is roughly equivalent to pointing to a character, which is also the easiest hard task for the mouse.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Some groups of muscles can be controlled more finely than others, and this has well-known implications for the design of human-computer interfaces.
“The fact that some groups of muscles can be controlled more nely than others has well-known implications for the design of human-computer interfaces [13].”
From Hands-Free Accessible Digital Musical Instruments: Conceptual Framework, Challenges, and Perspectives (2020) · cites this paper as [13]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Headmouse precision calculation gives 1.8 bits, not 2.0
MinorDividing 440 ms by 240 ms/bit gives about 1.83 bits. The reported 2.0 bits also disagrees with the 1.8 bits listed for the headmouse in Table IV.
Reported 2 · recomputed 1.833333
“the precision of the headmouse is 440 ms/(240 ins/bit) = 2.0 bits”
Precision formula names the wrong task boundary
MinorThe paper identifies a word as the hardest easy target and gives it a pointing time of 220 ms. The precision formula instead labels 440 ms-the time assigned to the easiest hard target-as the time for the hardest easy task.
“Device precision = Time[ hardest easy task for mouse] /1~ 440 ms --IM bits "”
“So we take a word as the hardest easy target.”
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Cited by
Sorted by citations
Beaudouin-Lafon, M. (2000) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/332040.332473 · Cited by 615 · see citing works
“Device-level models such as logical input devices [11] or Card et al.'s taxonomy [7] operate at a lower level of abstraction than interaction models.”
A survey of 3D object selection techniques for virtual environments
Argelaguet, F., & Andújar, C. (2012) · Computers & Graphics · doi:10.1016/j.cag.2012.12.003 · Cited by 523 · see citing works
“This variability de191 pends on the muscle groups involved in the movement [22], 192 with bigger muscle groups introducing higher variability than 193 smaller ones.”
BackgroundAccot, J., & Zhai, S. (1997) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1120212.1120376 · Cited by 457 · see citing works
Lag as a determinant of human performance in interactive systems
MacKenzie, I. S., & Ware, C. (1993) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/169059.169431 · Cited by 427 · see citing works
“this the index of performance, 1P.) Furthermore, if ID is calculated using the effective target width (We), adjusted for errors or spatial variability in responses, then bandwidth encompasses speed and accuracy.l This provocative measure – somewhat analogous to efficiency – holds tremendous promise for measurement and…”
MethodAccot, J., & Zhai, S. (1997) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/258549.258760 · Cited by 425 · see citing works
The Smart Phone: A Ubiquitous Input Device
Ballagas, R., Borchers, J., Rohs, M., & Sheridan, J. G. (2006) · IEEE Pervasive Computing · doi:10.1109/mprv.2006.18 · Cited by 396 · see citing works
“Card, Mackinlay, and Robertson [20] point out that this format is somewhat ad hoc and that there is no attempt at defining a notion of completeness.”
BackgroundIntegrality and separability of input devices
Jacob, R. J. K., Sibert, L. E., McFarlane, D. C., et al. (1994) · ACM Transactions on Computer-Human Interaction · doi:10.1145/174630.174631 · Cited by 374 · see citing works
HCI Models, Theories, and Frameworks
(2003) · Elsevier eBooks · doi:10.1016/b978-1-55860-808-5.x5000-x · Cited by 376 · see citing works
Squeeze me, hold me, tilt me! An exploration of manipulative user interfaces
Harrison, B. L., Fishkin, K. P., Gujar, A. U., Mochon, C., & Want, R. (1998) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/274644.274647 · Cited by 325 · see citing works
A design space for multimodal systems
Nigay, L., & Coutaz, J. (1993) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/169059.169143 · Cited by 312 · see citing works
“[8], are based on physical properties (such as motion and pressure), the data that a device returns (discrete or continuous) and the dimensions of input a device provides.”
BackgroundEvaluation of Input Devices for Musical Expression: Borrowing Tools from HCI
Wanderley, M. M., & Orio, N. (2002) · Computer Music Journal · doi:10.1162/014892602320582981 · Cited by 244 · see citing works
Gestural Control of Sound Synthesis
Wanderley, M. M., & Depalle, P. (2004) · Proceedings of the IEEE · doi:10.1109/jproc.2004.825882 · Cited by 196 · see citing works
“This evaluation is essential, for instance, in the selection of existing input devices for performing different tasks [74], but it can also be useful in the identification of promising new opportunities for the design of novel input devices [88].”
BackgroundBallagas, R., Rohs, M., & Sheridan, J. G. (2005) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1056808.1056876 · Cited by 194 · see citing works
“Card design space classification [1] of our camera-based interaction techniques.”
MethodThe influence of muscle groups on performance of multiple degree-of-freedom input
Zhai, S., Milgram, P., & Buxton, W. (1996) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/238386.238534 · Cited by 194 · see citing works
“[1]; [15]; [2]) as evidence that fingers are among the most dextrous organs.”
BackgroundMethodInfluentialStanney, K. M., Mollaghasemi, M., Reeves, L. M., Breaux, R., & Graeber, D. A. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00015-6 · Cited by 184 · see citing works
Arons, B. (1997) · ACM Transactions on Computer-Human Interaction · doi:10.1145/244754.244758 · Cited by 182 · see citing works
From STEM to STEAM: Strategies for Enhancing Engineering & Technology Education
Connor, A. M., Karmokar, S., & Whittington, C. (2015) · International Journal of Engineering Pedagogy (iJEP) · doi:10.3991/ijep.v5i2.4458 · Cited by 181 · see citing works
“Two particular techniques were introduced, namely morphological analysis [49] to generate concepts and Pugh’s method [50] for evaluating concepts.”
MethodBoring, S., Jurmu, M., & Butz, A. M. (2009) · doi:10.1145/1738826.1738853 · Cited by 171 · see citing works
“According to Card’s input design space (Card et al., 1991), Move adds the most input dimensions to the phone as it allows continuous linear as well as rotary measurements, while Tilt only allows rotary measurements.”
Benford, S., Schnädelbach, H. M., Koleva, B. N., Anastasi, R., Greenhalgh, C., Rodden, T. A., Green, J., Ghali, A., Pridmore, T., Gaver, W. W., et al. (2005) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1057237.1057239 · Cited by 166 · see citing works
A Taxonomy of Usability Characteristics in Virtual Environments
Gabbard, J. L. (1997) · Cited by 162 · see citing works
Pointing at trivariate targets in 3D environments
Grossman, T., & Balakrishnan, R. (2004) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985749 · Cited by 162 · see citing works
Design space for driver-based automotive user interfaces
Kern, D., & Schmidt, A. (2009) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/1620509.1620511 · Cited by 156 · see citing works
“In Card et al’s [9] design space, input devices are compositions of one-dimension sensors.”
BackgroundHartmann, B., Abdulla, L., Mittal, M., & Klemmer, S. (2007) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240646 · Cited by 154 · see citing works
Human Performance in Six Degree of Freedom Input Control
Zhai, S. (2002) · Cited by 151 · see citing works
Performance differences in the fingers, wrist, and forearm in computer input control
Balakrishnan, R., & MacKenzie, I. S. (1997) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/258549.258764 · Cited by 153 · see citing works
“Recently, HCI researchers have attempted to use this knowledge to formulate theories and designs for high performance computer pointing devices [6, 7, 24].”
BackgroundInfluentialWearable Medical Sensor-Based System Design: A Survey
Mosenia, A., Sur‐Kolay, S., Raghunathan, A., & Jha, N. K. (2017) · IEEE Transactions on Multi-Scale Computing Systems · doi:10.1109/tmscs.2017.2675888 · Cited by 143 · see citing works
A Design Space to Support the Development of Windshield Applications for the Car
Haeuslschmid, R., Pfleging, B., & Alt, F. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858336 · Cited by 142 · see citing works
“Early work concentrated on basic HCI aspects, such as a classification and taxonomy of input devices [22, 25].”
BackgroundBalakrishnan, R., Baudel, T., Kurtenbach, G., et al. (1997) · doi:10.1145/258549.258778 · Cited by 140 · see citing works
“[4], and Jacob et al.”
A Design Space for Intelligent and Interactive Writing Assistants
Lee, M., Gero, K. I., Chung, J. J. Y., Shum, S. B., Raheja, V., Shen, H., Venugopalan, S., Wambsganss, T., Zhou, D., Alghamdi, E. A., et al. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642697 · Cited by 136 · see citing works
“Design spaces are taxonomies that present critical aspects of a design [32, 33, 166, 178, 214] with three main uses.”
A Framework of Interaction Costs in Information Visualization
Lam, H. (2008) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2008.109 · Cited by 133 · see citing works
“Pirolli and Card developed the information foraging theory [44] that has been applied to designs of web-searching support tool designs (e.g., [43]) and to model web usage behaviours (e.g., [7] [12]).”
MethodA Task Taxonomy for Network Evolution Analysis
Ahn, J., Catherine Plaisant, B., & Shneiderman, B. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.238 · Cited by 128 · see citing works
“In order to make the process systematic, we adopted an idea of the design space [7, 8, 21].”
MethodDual device user interface design
Robertson, S. L., Wharton, C., Ashworth, C. A., et al. (1996) · doi:10.1145/238386.238408 · Cited by 120 · see citing works
“They also greatly complicate any attempt to produce a taxonomy of devices [3,6] since their usage patterns change through time and vary depending on their combination (e.g. is exploring a floorplan on a stand-alone PDA different from using the same PDA application to control a video walkthrough?).”
BackgroundHandbook of Research on User Interface Design and Evaluation for Mobile Technology
Lumsden, J. (2008) · IGI Global eBooks · doi:10.4018/978-1-59904-871-0 · Cited by 120 · see citing works
Sheridan, J. G., Ballagas, R., & Rohs, M. (2004) · Lancaster EPrints (Lancaster University) · Cited by 103 · see citing works
3D selection with freehand gesture
Ren, G., & O'Neill, E. J. (2013) · Computers & Graphics · doi:10.1016/j.cag.2012.12.006 · Cited by 102 · see citing works
INPUT TECHNOLOGIES AND TECHNIQUES
Hinckley, K. (2007) · CRC Press eBooks · doi:10.1201/9781410615862-19 · Cited by 100 · see citing works
Motor Behavior Models for Human-Computer Interaction
MacKenzie, I. S. (2003) · Elsevier eBooks · doi:10.1016/b978-155860808-5/50003-4 · Cited by 98 · see citing works
“For other descriptive models on input devices, including movement characteristics, properties sensed, stimulus-response mappings, and interaction techniques, the reader is directed to several primary sources (Buxton, 1983; Card, Mackinlay, & Robertson, 1990; Card, Mackinlay, & Robertson, 1991; Foley, Wallace, & Chan,…”
Designing Better Map Interfaces: A Framework for Panning and Zooming
Harrower, M., & Sheesley, B. (2005) · Transactions in GIS · doi:10.1111/j.1467-9671.2005.00207.x · Cited by 95 · see citing works
A probabilistic approach to modeling two-dimensional pointing
Grossman, T., & Balakrishnan, R. (2005) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1096737.1096741 · Cited by 93 · see citing works
“This matches the results of previous studies [Langolf et al. 1976; Boritz et al. 1991; Card et al. 1991; Balakrishnan and MacKenzie 1997; Hancock and Booth 2004] which found that the use of smaller muscle groups (hand, wrist) required for horizontal movement will result in better performance in a pointing task than th…”
ResultBody-centric design space for multi-surface interaction
Wagner, J., Nancel, M., Gustafson, S. G., Huot, S., & Mackay, W. E. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2466170 · Cited by 95 · see citing works
Tatar, D. G. (2007) · Human-Computer Interaction · doi:10.1080/07370020701638814 · Cited by 99 · see citing works
Embodied User Interfaces: Towards Invisible User Interfaces
Fishkin, K. P., Moran, T. P., & Harrison, B. L. (1999) · IFIP advances in information and communication technology · doi:10.1007/978-0-387-35349-4_1 · Cited by 94 · see citing works
“As Card et al. (1991) put it, “the design of human-machine dialogues is, at least in part, the design of artificial languages for this communication.””
BackgroundThe effect of DOF separation in 3D manipulation tasks with multi-touch displays
Martinet, A., Casiez, G., & Grisoni, L. (2010) · ACM Symposium on Virtual Reality Software and Technology (VRST) · doi:10.1145/1889863.1889888 · Cited by 85 · see citing works
“To help comparing existing manipulation techniques we chose to adapt the taxonomy introduced by Card et al. [1991]. We wanted to represent the relationship between the number of fingers, their directness (whether direct or indirect) and the corresponding DOF controlled in the task.”
MethodInstruments and players: Some thoughts on digital lutherie
Jordà, S. (2004) · Journal of New Music Research · doi:10.1080/0929821042000317886 · Cited by 81 · see citing works
“Many other authors (e.g., Buxton, 1987; Card et al., 1991; Wanderley & Orio, 2002) propose taxonomies of input devices that are based on HCI methodologies, considering aspects like the physical variables being sensed (position, motion, pressure, etc.), their degrees of freedom and their resolution.”
BackgroundA Design Space for Gaze Interaction on Head-mounted Displays
Hirzle, T., Gugenheimer, J., Geiselhart, F., et al. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300855 · Cited by 79 · see citing works
“In the case of user interfaces these parameters are often certain properties of devices (e.g. physical properties such as rotate or position of input devices [2, 9]).”
BackgroundMethodDavies, T. R., & Chandler, R. (2012) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199899265.003.0006 · Cited by 74 · see citing works
Adaptive blind interaction technique for touchscreens
Yfantidis, G., & Evreinov, G. (2006) · Universal Access in the Information Society · doi:10.1007/s10209-004-0109-7 · Cited by 73 · see citing works
“time also helps to develop new ways of interaction for visually handicapped users the main problem of which is absolute spatial pointing and selection of the menu items within a screen space [6, 7, 24].”
BackgroundIntegrality and Separability of Multitouch Interaction Techniques in 3D Manipulation Tasks
Martinet, A., Casiez, G., & Grisoni, L. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.129 · Cited by 70 · see citing works
Vision-Based Hand Interaction in Augmented Reality Environment
Shen, Y., Ong, S. K., & Nee, A. Y. C. (2011) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2011.555297 · Cited by 70 · see citing works
“Card, MacKinlay, and Robertson (1991) predicted that the interaction method making greater use of the fingers would be a promising alternative to the conventional mouse, and Ullman (2004) developed a pen-shaped device to replace the mouse.”
MethodKönig, W. A., Gerken, J., Dierdorf, S., et al. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03655-2_73 · Cited by 68 · see citing works
“In such a case, even if the tremor compensation worked perfectly, the user would not be able to move discretely one pixel at a time because of limited hand-eye coordination, restricted motor precision, and the necessary but unachievable fine control of the muscle groups involved in the movement (see [6] and [7] for a…”
BackgroundInteractively skimming recorded speech
Arons, B. M., & Schmandt, C. (1994) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 66 · see citing works
Foresight for a responsible future with ICT
Markus, M. L., & Mentzer, K. (2014) · Information Systems Frontiers · doi:10.1007/s10796-013-9479-9 · Cited by 75 · see citing works
“, input devices) and to (Card et al. 1991; Davies and Chandler 2012; Ritchey 2011; Zwicky 1967) Inf Syst Front”
BackgroundMovement in Cluttered Virtual Environments
Ruddle, R. A., & Jones, D. M. (2001) · PRESENCE Virtual and Augmented Reality · doi:10.1162/105474601753132687 · Cited by 62 · see citing works
“(For a review, see Card, Mackinlay, and Robertson (1991) .)”
DIRA: A model of the user interface
Bergström, J., & Hornbæk, K. (2024) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103381 · Cited by 60 · see citing works
User Onboarding in Virtual Reality: An Investigation of Current Practices
Chauvergne, E., Hachet, M., & Prouzeau, A. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581211 · Cited by 57 · see citing works
“The morphological analysis from Zwicky [40] can be used to both generate and exploit a framework [12].”
Customizable physical interfaces for interacting with conventional applications
Greenberg, S., & Boyle, M. (2002) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/571985.571991 · Cited by 57 · see citing works
“While nearly all GUI controls rely on the mouse and display for input and output, a pointing device is not necessarily the best input device for any given control task [2,3,20].”
BackgroundRobinson, S., Coutrix, C., Pearson, J. S., Rosso, J., Torquato, M. F., Nigay, L., & Jones, M. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858097 · Cited by 54 · see citing works
“As a starting point to explore their potential, we consider two basic tangible manipulations from [4]: translation and rotation, each in three dimensions.”
BackgroundCasiez, G., Vogel, D., Pan, Q., et al. (2007) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/1294211.1294234 · Cited by 54 · see citing works
“Absolute position control assigns a unique output position to every input position [5,7].”
BackgroundEffects of angle of approach on cursor movement with a mouse: Consideration of Fitt's law
Whisenand, T. G., & Emurian, H. H. (1996) · Computers in Human Behavior · doi:10.1016/0747-5632(96)00020-9 · Cited by 53 · see citing works
A framework for research and design of gesture-based human-computer interactions
Karam, M. (2006) · ePrints Soton (University of Southampton) · Cited by 52 · see citing works
Web accessibility for low bandwidth input
Mankoff, J. C., Dey, A. K., Batra, U., & Moore, M. M. (2002) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/638249.638255 · Cited by 51 · see citing works
“Bandwidth is influenced by a combination of the user, application and device in use, so interface choices can affect bandwidth and hence performance of a task [5].”
BackgroundInput devices for musical expression: borrowing tools from HCI
Orio, N., Schnell, N., & Wanderley, M. M. (2001) · doi:10.5072/zenodo.205079 · Cited by 50 · see citing works
Interactive design of multimodal user interfaces
König, W. A., Rädle, R., & Reiterer, H. (2010) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-010-0044-2 · Cited by 49 · see citing works
“[7].”
Vega, K., & Fukś, H. (2014) · International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · doi:10.1145/2540930.2540961 · Cited by 49 · see citing works
Baudisch, P., Sinclair, M., & Wilson, A. D. (2006) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/1166253.1166261 · Cited by 49 · see citing works
“RELATED WORK A variety of mid-air pointing devices have been proposed [3], some of which are available as products.”
BackgroundSquidy: A Zoomable Design Environment for Natural User Interfaces
König, W. A., Rädle, R., & Reiterer, H. (2011) · KOPS (University of Konstanz) · doi:10.1145/1520340.1520700 · Cited by 47 · see citing works
Fekete, J., Elmqvist, N., & Guiard, Y. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518748 · Cited by 47 · see citing works
“[4] is useful for reasoning about the (mainly spatial) input devices in this category.”
BackgroundShuggi, I. M., Oh, H., Shewokis, P. A., & Gentili, R. J. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.048 · Cited by 47 · see citing works
Physigrams: modelling devices for natural interaction
Dix, A. J., Ghazali, M., Gill, S., Hare, J., & Ramduny-Ellis, D. (2008) · Formal Aspects of Computing · doi:10.1007/s00165-008-0099-y · Cited by 45 · see citing works
“Card et al.’s Design Space for Input Devices [CMR90, CMR91] was influential in developing these notions beyond simple 2D pointers.”
BackgroundMethodCounterfactual Thinking: What Theories Do in Design
Oulasvirta, A., & Hornbæk, K. (2021) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.1925436 · Cited by 46 · see citing works
Visual Captions: Augmenting Verbal Communication with On-the-fly Visuals
Liu, X., Kirilyuk, V., Yuan, X., Olwal, A., Chi, P., Chen, X., & Du, R. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581566 · Cited by 45 · see citing works
“We followed the design space analysis methods [6] and held iterative discussion sessions.”
MethodLubos, P., Bruder, G., Ariza, O., & Steinicke, F. (2016) · Symposium on Spatial User Interaction · doi:10.1145/2983310.2985753 · Cited by 44 · see citing works
“While traditional headcentered menus are by design placed within arm’s reach in front of the user, it is seldomly the case that they can be reached without requiring movements of the shoulder joint and as a result inducing high levels of fatigue over time [10].”
BackgroundHand-adaptive user interface: improved gestural interaction in virtual reality
Lou, X., Li, X. A., Hansen, P., & Du, P. F. (2020) · Virtual Reality · doi:10.1007/s10055-020-00461-7 · Cited by 44 · see citing works
Yamagami, M., Junuzovic, S., González-Franco, M., Ofek, E., Cutrell, E. B., Porter, J. R., Wilson, A. D., & Mott, M. E. (2022) · ACM Transactions on Accessible Computing · doi:10.1145/3510463 · Cited by 44 · see citing works
“In their subsequent work, Card et al. [1991] performed a morphological analysis to generate a new design space for input devices, and to identify points within the space that warranted further investigation.”
Background2003: Designing, Playing, and Performing with a Vision-Based Mouth Interface
Lyons, M. J., Hähnel, M., & Tetsutani, N. (2017) · Current research in systematic musicology · doi:10.1007/978-3-319-47214-0_8 · Cited by 44 · see citing works
Tapping vs. circling selections on pen-based devices
Mizobuchi, S., & Yasumura, M. (2004) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985769 · Cited by 42 · see citing works
“However, there was a significant twoway interaction between complexity and selection method (F[2,22]=34.”
BackgroundMethodInfluentialShaw, M. (2011) · IEEE Software · doi:10.1109/ms.2011.121 · Cited by 41 · see citing works
Context matters: Evaluating Interaction Techniques with the CIS Model
Appert, C., Beaudouin-Lafon, M., & Mackay, W. E. (2007) · Springer eBooks · doi:10.1007/1-84628-062-1_18 · Cited by 38 · see citing works
“Card et al (1991) introduce a taxonomy of input devices, described as translators from physical properties to logical parameters of an application.”
BackgroundRukzio, E. (2007) · Lancaster EPrints (Lancaster University) · doi:10.5282/edoc.6494 · Cited by 38 · see citing works
User-Centered Design of Landmark Visualizations
Elias, B., & Paelke, V. (2008) · Lecture Notes in Geoinformation and Cartography · doi:10.1007/978-3-540-37110-6_3 · Cited by 38 · see citing works
Human-computer interaction as science
Reeves, S. (2015) · Aarhus Series on Human Centered Computing · doi:10.7146/aahcc.v1i1.21296 · Cited by 37 · see citing works
“In comparison, Card, Mackinley and Robertson emphasise the importance of uncovering design space structure [7], and through this taking different device designs as inputs or “points in a parametrically described design space” [7]—in”
BackgroundInfluentialA comparative study of user performance in a map-based virtual environment
Swan, J. E., Gabbard, J. L., Hix, D., et al. (2003) · IEEE Virtual Reality (VR) · doi:10.1109/vr.2003.1191149 · Cited by 36 · see citing works
“[4] established the widely adopted classification of device design space that includes a discussion of rate- and position-based devices for 2D interaction.”
BackgroundDo Architects and Designers Think about Interactivity Differently?
Kirsh, D. (2019) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3301425 · Cited by 35 · see citing works
“Each dimension is an information channel – an input or output stream – each with its defined capacity and expressive power [13].”
BackgroundThe Design Space of 3D Printable Interactivity
Ballagas, R., Ghosh, S., & Landay, J. A. (2018) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3214264 · Cited by 36 · see citing works
“Morphological Analysis previously led to breakthroughs in analyzing the design space of input devices [10, 11], as well as discoveries in astronomy [87], and the invention of new types of jet engines [86].”
BackgroundMethodInfluentialPingu: A New Miniature Wearable Device for Ubiquitous Computing Environments
Ketabdar, H., Moghadam, P., & Roshandel, M. (2012) · ... International Conference on Complex, Intelligent and Software Intensive Systems · doi:10.1109/cisis.2012.123 · Cited by 35 · see citing works
“According to the experiments conducted by Card et al. [13], the information entropy of interaction by finger is much larger than any other body parts that are currently used for interaction.”
MethodUsing Feedforward to Reveal Interaction Possibilities in Virtual Reality
Muresan, A., McIntosh, J., & Hornbæk, K. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3603623 · Cited by 35 · see citing works
“Researchers have also used this methodology to arrive at design spaces in HCI [ 3 ], for example, for input devices [ 17 ], and in VR for gaze interaction [ 40 ], 3D sketching [ 27 ], and, more recently, a design space for worlds-in-miniature [ 20 ].”
MethodDynamically adapting GUIs to diverse input devices
Carter, S., Hurst, A. K., Mankoff, J. C., et al. (2006) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/1168987.1169000 · Cited by 34 · see citing works
“Our analysis can be differentiated from past work analyzing the space of input devices (such as [5, 3]) in our consideration not only of physical manipulators such as the keyboard and mouse, but also virtual, error-prone “manipulators” such as speech recognition.”
MethodRadiologist Assessment of PACS User Interface Devices
Weiss, D. L., Siddiqui, K., & Scopelliti, J. (2006) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2005.10.016 · Cited by 31 · see citing works
Gaining design insight through interaction prototyping tools
Hartmann, B. (2009) · Cited by 30 · see citing works
Towards a tool for predicting speech functionality
Bernsen, N. O. (1997) · Speech Communication · doi:10.1016/s0167-6393(97)00046-0 · Cited by 31 · see citing works
“Arguably, an important contribution of input modality theory should be to enable appropriate mappings from input information onto input devices, such as keyboards and push-buttons [9,11,25].”
BackgroundKnowledge-based document retrieval in office environments
Celentano, A., Fugini, M., & Pozzi, S. (1995) · ACM Transactions on Information Systems · doi:10.1145/203052.203056 · Cited by 31 · see citing works
“In particular, threedimensional information structures [Card et al. 1991] provide a spatial encoding of information that can be successfully exploited.”
BackgroundInteraction and presentation techniques for situated visualization
Feiner, S., & White, S. (2009) · Cited by 30 · see citing works
Beauty technology as an interactive computing platform
Vega, K. C., & Fukś, H. (2013) · ACM International Conference on Interactive Tabletops and Surfaces (ITS) · doi:10.1145/2512349.2512399 · Cited by 29 · see citing works
Representing information – Classifying the Augmented Reality presentation space
Tönnis, M., Plecher, D. A., & Klinker, G. J. (2013) · Computers & Graphics · doi:10.1016/j.cag.2013.09.002 · Cited by 29 · see citing works
Human centred design of 3-D interaction devices to control virtual environments
Patel, H., Stefani, O., Sharples, S., et al. (2005) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2005.08.010 · Cited by 29 · see citing works
“…taxonomies which classify the design space of devices generally according to physical properties (Buxton, 1986), structure of the design space (Card et al., 1991), physical characteristics of the device in addition to knowledge about the task requirements (Jacob et al., 1994), and factors…”
BackgroundInput/Output Devices and Interaction Techniques
Wigdor, D. (2014) · Chapman & Hall/CRC eBooks · doi:10.1201/b16812-25 · Cited by 29 · see citing works
“For further insight readers may also wish to consult complete taxonomies of devices ((Buxton, 1983; Card, Mackinlay & Robertson, 1991)).”
BackgroundPointing on a computer display
Graham, E. D., & MacKenzie, C. L. (1995) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/223355.223691 · Cited by 27 · see citing works
Alternative Input Devices for Efficient Navigation of Large CT Angiography Data Sets
Sherbondy, A. J., Holmlund, D., Rubin, G. D., et al. (2005) · Radiology · doi:10.1148/radiol.2342032017 · Cited by 27 · see citing works
“Results of previous studies have shown that a trackball performs more poorly than mouse or stylus devices for other kinds of tasks, such as pointing and dragging (1), but the trade-off of using devices other than a trackball is a complex interaction of device, device parameters, and task (2).”
BackgroundA Method and Toolkit for Digital Musical Instruments: Generating Ideas and Prototypes
Calegário, F., Wanderley, M. M., Huot, S., Cabral, G. R. E., & Ramalho, G. L. (2017) · IEEE Multimedia · doi:10.1109/mmul.2017.18 · Cited by 26 · see citing works
A Human-Centered Taxonomy of Interaction Modalities and Devices
Augstein, M., & Neumayr, T. (2019) · Interacting with Computers · doi:10.1093/iwc/iwz003 · Cited by 28 · see citing works
- Authors
- Card, S. K., Mackinlay, J. D., & Robertson, G. G.
- Affiliations
- Palo Alto Research Center (US)
- Venue
- ACM Transactions on Information Systems
- Published
- 1991-04
- Volume
- 9
- Issue
- 2
- Pages
- 99-122
- ISSN
- 1046-8188 (ISSN-L)
- 1558-2868
- OpenAlex
- W2036024905
- Semantic Scholar
- 01f4112e9ce1cca76c152ffd8836fcb18f7cfc63
- Cited by
- 337
- References
- 42
- Citations by year
- 2026: 13 · 2025: 64 · 2024: 10 · 2023: 8 · 2022: 6 · 2021: 10 · 2020: 7 · 2019: 12 · 2018: 6 · 2017: 9 · 2016: 8 · 2015: 8 · 2014: 10 · 2013: 14 · 2012: 6
- FWCI
- 3.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM Transactions on Information Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- input devices, design space analysis, human-computer interaction, device footprint, Fitts' law, mice, input device design
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