Effect of age and Parkinson's disease on cursor positioning using a mouse
Abstract
Point-and-click tasks are known to present difficulties to users with physical impairments, particularly motor- or vision-based, and to older adults. This paper presents the results of a study to quantify and understand the effects of age and impairment on the ability to perform such tasks. Results from four separate user groups are presented and compared using metrics that describe the features of the movements made. Distinct differences in behaviour between all of the user groups are observed and the reasons for those differences are discussed.
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“For example, understanding the pointing performance of people with tremor [13] led to the development of the Steady Clicks pointing facilitation techniques [25].”
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“There is evidence that older adults use different movement strategies than younger adults, with lower peak velocities and many submovements, and that fine positioning over a target is a particularly difficult for this group [49].”
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“However, based on prior work on mouse pointing performance [17], we anticipate that touchscreen interaction performance will reach a peak in early to middle adulthood and then begin declining with age.”
Background“I just went into it assuming that I wouldn't be able to have the full experience”
Mott, M. E., Tang, J. C., Kane, S. K., Cutrell, E. B., & Morris, M. R. (2020) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3373625.3416998 · Cited by 118 · see citing works
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Findlater, L., Jansen, A., Shinohara, K., Dixon, M., Kamb, P., Rakita, J., & Wobbrock, J. O. (2010) · Proceedings of the 23nd annual ACM symposium on User interface software and technology · doi:10.1145/1866029.1866055 · Cited by 98 · see citing works
“Other problems involving small targets include slipping off targets, unintended clicks, and the effort and time required to physically perform a click [18,19,29,31].”
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“Point-and-click tasks are known to pose problems to users with deficits in vision or motor skills, and to older adults in general (Keates & Trewin, 2005).”
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Froehlich, J., Wobbrock, J. O., & Kane, S. K. (2007) · Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility · doi:10.1145/1296843.1296849 · Cited by 74 · see citing works
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Technology skill and age: what will be the same 20 years from now?
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“There is evidence that older adults use different movement strategies than younger adults, with lower peak velocities and many sub-movements, and that fine positioning over a target is a particularly difficult for this group [56].”
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“For instance, users with Parkinson’s disease are characterized as having ‘‘shaking hands’’ (tremors) and are therefore unable to hit small targets [ 20 ].”
BackgroundAutomatically detecting pointing performance
Hurst, A. K., Hudson, S. E., Mankoff, J. C., & Trewin, S. M. (2008) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/1378773.1378776 · Cited by 49 · see citing works
“All three of these datasets were collected in independent laboratory studies [5,6,11], (in two cases also augmented with additional new data from able-bodied participants) and reanalyzed here to test the feasibility of creating predictive models.”
BackgroundMethodSelf-citationBarriers common to mobile and disabled web users
Yeşilada, Y., Brajnik, G., & Harper, S. (2011) · Interacting with Computers · doi:10.1016/j.intcom.2011.05.005 · Cited by 48 · see citing works
“tend to pause as they move the cursor around and over the hyperlink target as they have difficulty reaching the target itself (Keates and Trewin, 2005).”
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“…computing mainly point out the problems faced by disabled people in pointing or typing (Hwang, Langdon, Keates, Clarkson, & Robinson, 2002; Keates & Trewin, 2005; Keates, Trewin, & Paradise, 2005; Trewin & Pain, 1999), but there is not much reported work on quantitative analysis of effect…”
BackgroundAutomatic evaluation of assistive interfaces
Biswas, P., & Robinson, P. (2008) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/1378773.1378806 · Cited by 44 · see citing works
“The main difference between the mouse movement of the motor-impaired and able-bodied users lie in the characteristics of the sub-movements [29,31].”
BackgroundUser-centred design of a mobile self-management solution for Parkinson's disease
de Barros, A. C., Cevada, J., Bayés, À., Alcaine, S., & Mestre, B. (2013) · International Conference on Mobile and Ubiquitous Multimedia (MUM) · doi:10.1145/2541831.2541839 · Cited by 42 · see citing works
“There are also studies on the interaction of people with PD with desktop peripherals [18, 19] or pen-tablet devices [20].”
BackgroundSimple pen interaction performance of young and older adults using handheld computers
Hourcade, J. P., & Berkel, T. R. (2007) · Interacting with Computers · doi:10.1016/j.intcom.2007.10.002 · Cited by 40 · see citing works
“Not surprisingly, a number of studies have shown that older adults have difficulty using computer pointing devices (e.g. Chaparro et al., 1999; Smith et al., 1999; Keates and Trewin, 2005; Worden et al., 1997).”
BackgroundTyping Performance of Blind Users
Nicolau, H., Montague, K., Guerreiro, T., Rodrigues, A., & Hanson, V. L. (2015) · Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility - ASSETS '15 · doi:10.1145/2700648.2809861 · Cited by 37 · see citing works
“Touch exploration behaviors were measured using x, y positions and variability [5] (hit point deviations), movement time, movement distances, Path Length to Task Axis length ratio (PL/TA), count and duration of pauses within the movements [9, 10, 12], and visited keys.”
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Improving the Accuracy of Video-Based Eye Tracking in Real Time through Post-Calibration Regression
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Who Should Have Access to my Pointing Data?
Hamidi, F., Poneres, K., Massey, A. K., & Hurst, A. K. (2018) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3234695.3239331 · Cited by 35 · see citing works
“Adaptive Assistive Technologies to Support Pointing Changes in pointing ability can occur due to a range of factors, including advanced age [10, 23, 28, 29, 48, 63, 71, 74], a temporary or sustained disability [58, 65, 72] and medical conditions such as Essential Tremors (ET), Parkinson’s, arthritis, or fatigue [28, 5…”
BackgroundMahmud, S., Alvina, J., Chilana, P. K., Bunt, A., & McGrenere, J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376414 · Cited by 34 · see citing works
“This is partly expected as prior research has shown that, in general, older adults take more time to complete movement tasks and take more pauses [2, 31].”
BackgroundResultMoffatt, K., & McGrenere, J. (2007) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/1296843.1296848 · Cited by 34 · see citing works
“For the tapping task, we modified for pen interaction the classification described by Trewin, Keates, and Moffatt [21], based on a study of older and motor-impaired mouse users [10]:”
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Hwang, F., Hollinworth, N., & Williams, N. (2013) · ACM Transactions on Accessible Computing · doi:10.1145/2514848 · Cited by 33 · see citing works
“…in motor and perceptual capabilities [Walker et al., 1997], and differences in pointing behaviours such as lower peak velocities, increased deceleration times, more frequent pauses during movements, and more target re-entries and slip-offs [Smith, Sharit, and Czaja, 1999; Keates and Trewin, 2005].”
WiiPD—Objective Home Assessment of Parkinson's Disease Using the Nintendo Wii Remote
Synnott, J., Chen, L., Nugent, C., & Moore, G. (2012) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2012.2215878 · Cited by 31 · see citing works
“…National Institute for Health and Clinical Excellence guidelines [7] recommend that patients with early stage PD who are not yet undergoing medication should be assessed every 6– 12 months, and those who have begun treatment or who are experiencing complications should be assessed every 2–3 months.”
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“RESEARCH QUESTION Given the success of PointAssist with children, and mentions in the literature of the similarities between the challenges older adults and children face in pointing tasks [28, 54], we decided to conduct a study to evaluate PointAssist with older adults.”
A review of assistive technologies for people with Parkinson's disease
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InfluentialEvaluation of an eye-pointer interaction device for human-computer interaction
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“Other factors, such as letter size and spacing, are elements that a ff ect application design, since they force vision to be situated over multiple parts of the screen (Drury and Ho ff mann, 1992; Keates and Trewin, 2005).”
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“They have also been found to cover less distance with their primary movement [13], to make more submovements en route [12], to make less smooth movements [27], and to have difficulty staying on the target while clicking [22].”
BackgroundEffects of age and psychomotor ability on kinematics of mouse-mediated aiming movement
Cheong, Y.-K., Shehab, R. L., & Ling, C. (2013) · Ergonomics · doi:10.1080/00140139.2013.781682 · Cited by 22 · see citing works
“Many studies have revealed the effect of age on mouse-mediated activities, ranging from simple pointing and dragging tasks (Chapparo et al. 1999; Keates and Trewin 2005; Smith, Sharit, and Czaja 1999) to complex tasks such as web browsing (Jastrzembski et al. 2005) and data entry (Czaja and Sharit…”
BackgroundMethodDistinguishing Users By Pointing Performance in Laboratory and Real-World Tasks
Hurst, A. K., Hudson, S. E., Mankoff, J. C., & Trewin, S. M. (2013) · ACM Transactions on Accessible Computing · doi:10.1145/2517039 · Cited by 22 · see citing works
“To address this limitation, we looked at another dataset from four groups of users, three of which have signi.cantly different performance abilities [Keates and Trewin 2005].”
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“This could be a particularly significant benefit for users with motorimpairments [16], as multiple actions with potential for typing errors are replaced by a single action with the potential for pointing or clicking errors [7].”
BackgroundAmail: Design and Evaluation of an Accessible Email Tool for Persons with Aphasia
Mahmud, A. A., & Martens, J. B. O. S. (2013) · Interacting with Computers · doi:10.1093/iwc/iws025 · Cited by 20 · see citing works
Keep it Simple: How Visual Complexity and Preferences Impact Search Efficiency on Websites
Baughan, A., August, T., Yamashita, N., & Reinecke, K. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376849 · Cited by 20 · see citing works
“We used three independent sample’s t-tests to confirm that these preference groups were age-balanced, as age has been shown to influence speed-based task performance [12, 38].”
BackgroundMethodVolunteer-Based Online Studies With Older Adults and People with Disabilities
Li, Q., Gajos, K. Z., & Reinecke, K. (2018) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3234695.3236360 · Cited by 19 · see citing works
“Older adults have lower peak speeds than young adults [26].”
BackgroundMethodInfluentialUnderstanding the role of age and fluid intelligence in information search
Trewin, S. M., Richards, J. T., Hanson, V. L., Sloan, D., John, B. E., Swart, C., & Thomas, J. C. (2012) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/2384916.2384938 · Cited by 19 · see citing works
“Mouse movements are also slower in older adults, with lower peak velocity, longer pauses and more sub movements [17,20,24].”
BackgroundMethodResultInfluentialSelf-citationDo Cross-Cultural Differences in Visual Attention Patterns Affect Search Efficiency on Websites?
Baughan, A., Oliveira, N., August, T., Yamashita, N., & Reinecke, K. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445519 · Cited by 18 · see citing works
“We additionally recorded participant demographics that have been shown in prior literature to impact people’s visual preferences (such as age, gender, education level [18, 38]) or that could be potential confounds for performance, including hours spent on a computer and input device.”
MethodSalivia, G., & Hourcade, J. P. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2466157 · Cited by 18 · see citing works
“[16].”
Methodological Standards in Accessibility Research on Motor Impairments: A Survey
Sarsenbayeva, Z., van Berkel, N., Velloso, E., Goncalves, J., & Kostakos, V. (2023) · ACM Computing Surveys · doi:10.1145/3543509 · Cited by 17 · see citing works
Investigating Laboratory and Everyday Typing Performance of Blind Users
Nicolau, H., Montague, K., Guerreiro, T., Rodrigues, A., & Hanson, V. L. (2017) · ACM Transactions on Accessible Computing · doi:10.1145/3046785 · Cited by 17 · see citing works
Evaluating the design of inclusive interfaces by simulation
Biswas, P., & Robinson, P. (2010) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/1719970.1720010 · Cited by 16 · see citing works
“The main difference between the mouse movement of the motor-impaired and ablebodied users lie in the characteristics of the submovements [22, 23, 24, 47].”
BackgroundBani hashem, S. Y., Mat Zin, N. A., Mohd Yatim, N. F., & Mohamed Ibrahim, N. (2014) · Assistive Technology · doi:10.1080/10400435.2013.845271 · Cited by 15 · see citing works
“Furthermore, direct effects of aging on computer interaction methods have been reported in human computer interaction (HCI) research (Keates & Trewin, 2005; Olwal, Feiner, & Heyman, 2008; Trewin & Pain, 1999).”
Exploring Methods to Improve Pen-Based Menu Selection for Younger and Older Adults
Moffatt, K., & McGrenere, J. (2009) · ACM Transactions on Accessible Computing · doi:10.1145/1525840.1525843 · Cited by 14 · see citing works
“In addition, slower selection speeds have been attributed to lower peak velocities [Keates and Trewin 2005; Ketcham and Stelmach 2004], longer deceleration phases [Ketcham and Stelmach 2004], and more pauses while homing in on the target [Keates and Trewin 2005].”
BackgroundMoffatt, K., Yuen, S., & McGrenere, J. (2008) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/1414471.1414483 · Cited by 14 · see citing works
“Older adults have also been found to cover less distance with their primary movement [18], to make many more sub-movements en route [17], to make less smooth movements [33], and to have difficulty staying on the target while clicking [28].”
BackgroundEffects of user age and target-expansion methods on target-acquisition tasks using a mouse
Lee, D., Kwon, S., & Chung, M. K. (2011) · Applied Ergonomics · doi:10.1016/j.apergo.2011.04.010 · Cited by 14 · see citing works
Designing an Adaptive Web Navigation Interface for Users with Variable Pointing Performance
Martin-Hammond, A. M., Hamidi, F., Bhalerao, T., Ortega, C., Ali, A. X., Hornback, C., Means, C., & Hurst, A. K. (2018) · International Web for All Conference (W4A) · doi:10.1145/3192714.3192818 · Cited by 14 · see citing works
“Since our study included users who might not have been diagnosed with a condition leading to mobility impairment and who might have experienced temporary or gradual changes in pointing, we asked if participants experienced difficulties identified previously with mouse use [17].”
BackgroundInfluentialEffects of Aging on Small Target Selection with Touch Input
Sultana, A., & Moffatt, K. (2019) · ACM Transactions on Accessible Computing · doi:10.1145/3300178 · Cited by 14 · see citing works
“…phases (Ketcham and Stelmach 2004), and consist of smaller sub-movements punctuated with small verification pauses in place of the primary ballistic movement typical of younger adults (Keates and Trewin 2005; Keates, Trewin, and Paradise 2005; Ketcham and Stelmach 2004; Smith et al. 1999).”
BackgroundMethodResultInfluentialFindlater, L., & Zhang, L. (2020) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3373625.3417031 · Cited by 15 · see citing works
Fitts’ Law Based Performance Metrics to Quantify Tremor in Individuals With Essential Tremor
Kim, J., Wichmann, T., Inan, O., & DeWeerth, S. (2021) · IEEE journal of biomedical and health informatics · doi:10.1109/jbhi.2021.3129989 · Cited by 15 · see citing works
Mobile device impairment … similar problems, similar solutions?
Harper, S., Yeşilada, Y., & Chen, T. (2010) · Behaviour and Information Technology · doi:10.1080/01449291003801943 · Cited by 12 · see citing works
“Depending on the physical impairment, there are a number of challenges that affect users’ interaction such as pointing to a target or clicking on a target (Keates and Trewin 2005).”
BackgroundSwabbing: touchscreen-based input technique for people with hand tremor
Mertens, A., Hurtmanns, J., Wacharamanotham, C., Kronenbürger, M., Borchers, J., & Schlick, C. M. (2012) · Work · doi:10.3233/wor-2012-0474-2405 · Cited by 11 · see citing works
“In addition long pauses were made while moving around or through the target [13].”
López, J. P., Moreno, F., Popa, M. C., Hernández-Peñaloza, G., & Álvarez, F. (2019) · Artificial intelligence for engineering design analysis and manufacturing · doi:10.1017/s0890060419000386 · Cited by 11 · see citing works
“The cursor positioning, through mouses or remote controllers used as a mouse, is a challenging task for people with physical impairments and elderly people in general that has been accurately analyzed (Keates and Trewin, 2005) and taken into account for this development.”
BackgroundMartin-Hammond, A. M., Ali, A. X., Hornback, C., & Hurst, A. K. (2015) · International Web for All Conference (W4A) · doi:10.1145/2745555.2746645 · Cited by 10 · see citing works
“Keates and Trewin found that older adults tend to take longer than younger adults to complete point-and-click tasks when using a mouse [10].”
BackgroundPopulation-scale hand tremor analysis via anonymized mouse cursor signals
White, R. W., & Horvitz, E. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0171-4 · Cited by 10 · see citing works
“To help further validate the use of cursor movements as a source of tremor signal, a crowdsourced study was designed that uses a target-selection methodology from previous tremor studies.(9) The study also collected selfreport data about hand tremors from participants.”
MethodPandey, V., Khan, N. C., Gupta, A. S., & Gajos, K. Z. (2023) · ACM Transactions on Accessible Computing · doi:10.1145/3581790 · Cited by 9 · see citing works
Trewin, S. M. (2008) · Human-computer interaction series · doi:10.1007/978-1-84800-050-6_4 · Cited by 9 · see citing works
Self-citationHand in Motion: Enhanced Authentication Through Wrist and Mouse Movement
Li, B., Wang, W., Gao, Y., Phoha, V. V., & Jin, Z. (2018) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2018.8698577 · Cited by 9 · see citing works
“The interval to separate two different trajectories was set to 100 ms [6, 8].”
BackgroundIndividual responses to a method of cursor assistance
Trewin, S. M., Keates, S., & Moffatt, K. (2008) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483100701273128 · Cited by 8 · see citing works
Self-citationThe Design and Evaluation of a Pen-Based Computer Interface for Novice Older Users
Torres, D. A. (2006) · Mexican International Conference on Computer Science · doi:10.1109/enc.2006.34 · Cited by 8 · see citing works
“However, in order to be able to use and configure these programs, they need to interact with current operating system interfaces based in the WIMP (Windows, Icons, Menus, and Pointers) standard that were originally developed for the mouse which is especially difficult for them [ 11 ].”
MethodInsight into Goal-Directed Movements: Beyond Fitts’ Law
Nieuwenhuizen, K., Aliakseyeu, D., & Martens, J.-B. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03655-2_33 · Cited by 8 · see citing works
“This is especially true when devices are designed for people with disabilities [9, 11], or when devices are used within challenging environments, such as virtual reality.”
BackgroundUsing the Speed-Accuracy Operating Characteristic to Visualize Performance with Pointing Devices
Simpson, R. C. (2009) · The Open Rehabilitation Journal · doi:10.2174/1874943700902010058 · Cited by 6 · see citing works
“Choosing the most appropriate assistive technology (AT) is a collaborative decision-making process involving the client, family members, clinician(s), and third-party payers.”
BackgroundOn the usefulness of off-the-shelf computer peripherals for people with Parkinson’s Disease
Begnum, M. E. N., & Begnum, K. (2011) · Universal Access in the Information Society · doi:10.1007/s10209-011-0257-5 · Cited by 6 · see citing works
“In [24], research indicated that users with Parkinson’s Disease had more pauses in their movement and actions at the end of a point-and-click task, suggesting that the period between when the movement ends and the click is issued takes longer compared with able-bodied users.”
BackgroundEvaluating a pen-based computer interface for novice older users
Torres, D. A. (2006) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/1168987.1169039 · Cited by 6 · see citing works
“However, in order to be able to use and to configure these programs, they need to interact with current operating system interfaces based in the WIMP (Windows, Icons, Menus, and Pointers) standard that was originally developed for the mouse which is especially difficult for elderly people [3], so the current graphical…”
MethodAl-Showarah, S. (2015) · Buckingham E-Archive of Research (University of Buckingham) · Cited by 6 · see citing works
Salivia, G., & Hourcade, J. P. (2011) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1979742.1979636 · Cited by 5 · see citing works
“…Salivia Department of Computer Science The University of Iowa 14 MacLean Hall Iowa City, IA 52242 gjordans@iowa.uiowa.edu Juan Pablo Hourcade Department of Computer Science The University of Iowa 14 MacLean Hall Iowa City, IA 52242 hourcade@iowa.uiowa.edu Copyright is held by the author/owner(s).”
BackgroundModel Touch Pointing and Detect Parkinson's Disease via a Mobile Game
Ling, K., Zhao, H., Fan, X., Niu, X., Yin, W., Liu, Y., Wang, C. U. I., & Bi, X. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3659627 · Cited by 5 · see citing works
“For example, Keates and Trewin’s research [36] showed people with PD had longer pauses than non-PD older adults in mouse-based pointing tasks.”
BackgroundTrewin, S. M. (2019) · Human-computer interaction series · doi:10.1007/978-1-4471-7440-0_2 · Cited by 5 · see citing works
Self-citationKamollimsakul, S. (2016) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · Cited by 5 · see citing works
Heron, M. J. (2011) · Cited by 5 · see citing works
Measuring acceptable input: What is “good enough”?
Keates, S. (2016) · Universal Access in the Information Society · doi:10.1007/s10209-016-0498-4 · Cited by 4 · see citing works
Self-citationMalling, A. S. B., Morberg, B. M., Wermuth, L., Gredal, O., Bech, P., & Jensen, B. R. (2019) · Motor Control · doi:10.1123/mc.2018-0002 · Cited by 4 · see citing works
Nikandish, H., & Kheirkhah, E. (2017) · ETRI Journal · doi:10.4218/etrij.17.0116.0596 · Cited by 4 · see citing works
“This set included 14 movement characteristics and three features (age, sex, and experience of working with a computer), which will be explained in Section B [20], [21].”
BackgroundRemoving Unclassified Hand Tremor Motion from Computer Mouse Input with Neural Networks
Mack, S. C. (2018) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2018.10.003 · Cited by 4 · see citing works
“Much work has been done to determine how different conditions can affect the use of a computer mouse [3][4][5][6].”
BackgroundGaze and Speech: Pointing Device and Text Entry Modality
Beelders, T., & Blignaut, P. J. (2013) · Springer eBooks · doi:10.1007/978-3-319-02868-2_4 · Cited by 3 · see citing works
Using Icons to Communicate Privacy Characteristics of Adaptive Assistive Technologies
Poneres, K., Hamidi, F., Massey, A. K., & Hurst, A. K. (2018) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3234695.3241003 · Cited by 3 · see citing works
“Assistive software that collects and analyzes user performance data over time modify its functionality to better match a user’s dynamic abilities [4, 5, 6].”
BackgroundAutomatic assessment and adaptation to real world pointing performance
Hurst, A. K. (2009) · ACM SIGACCESS Accessibility and Computing · doi:10.1145/1531930.1531931 · Cited by 3 · see citing works
“Trewin, S., Keates, S., & Moffatt, K. (2006).”
BackgroundMethodInfluentialGhazarian, A., & Ghazarian, A. (2013) · International Journal of Cognitive Performance Support · doi:10.1504/ijcps.2013.053582 · Cited by 3 · see citing works
“A movement to a target in pointing tasks consists of a sequence of sub-movements (Keates and Trewin, 2005; Meyer et al., 1988; Hwang et al., 2004).”
BackgroundThe Effect of Vibrotactile Feedback on Novice Older Adults in Target Selection Tasks
Üzüm, B., & Göktürk, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21716-6_18 · Cited by 3 · see citing works
“Keates and Trewin [ 24 ] measured the effect of age and Parkinson disease on pointing and clicking tasks with 24 subjects and reported that olders and subjects with Parkinson disease recorded much longer task completion times than younger ones.”
BackgroundUser-Age Classification Using Touch Gestures on Smartphones
Al-Showarah, S., Al‐Jawad, N., & Sellahewa, H. (2015) · doi:10.31357/ijms.v2i1.2787 · Cited by 3 · see citing works
Circling interface: An alternative interaction method for on-screen object manipulation
Ka, H. W. (2013) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 3 · see citing works
Quantitative analysis of computer interaction movements
Nieuwenhuizen, C. K. (2015) · Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands · doi:10.6100/ir793130 · Cited by 3 · see citing works
Using Delboeuf's illusion to improve point and click performance for older adults
Hollinworth, N., Hwang, F., & Field, D. T. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2468593 · Cited by 2 · see citing works
“Slower movements could be explained by an increase in the noise to force ratio and less efficient perceptual feedback [18], or as a result of pausing more frequently during a ballistic movement [7].”
BackgroundEffects of cursor freeze time on the performance of older adult users on mouse-related tasks
Tufail, M., & Kim, K. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.06.014 · Cited by 2 · see citing works
A Case Study of Simulating HCI for Special Needs
Biswas, P., & Robinson, P. (2008) · Springer eBooks · doi:10.1007/978-1-84800-211-1_17 · Cited by 2 · see citing works
An architecture to improve the generalization of interacting device developments for accessibility
Santos, F. S., Pimentel, M. G., & Teixeira, C. A. C. (2006) · Brazilian Symposium on Multimedia and the Web · doi:10.1145/1186595.1186603 · Cited by 2 · see citing works
“recent [19] investigation with respect to understanding input errors in keyboard and mouse devices, so as to recommend”
BackgroundSupporting Awareness of Pointing Behavior among Diverse Groups
Martin-Hammond, A. M., Ali, A., Means, C., Hornback, C., & Hurst, A. K. (2016) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.4108/eai.16-5-2016.2263763 · Cited by 1 · see citing works
PERFORMANCE EVALUATION FOR TOUCH-BASED INTERACTION OF OLDER ADULTS
Sultana, A. (2015) · ACM SIGACCESS Accessibility and Computing · doi:10.1145/2809904.2809913 · Cited by 1 · see citing works
Empirical evaluation of circling interface with head-mounted mouse emulator users
Ka, H. W., & Simpson, R. C. (2016) · Disability and Rehabilitation Assistive Technology · doi:10.3109/17483107.2016.1151951 · Cited by 1 · see citing works
“[1–4] For example, some individuals often move the mouse off the target when activating buttons for click or double-click operations.”
BackgroundBiswas, P., & Springett, M. (2017) · Wiley eBooks · doi:10.1002/9781118976005.ch8 · Cited by 1 · see citing works
Defining Acceptable Interaction for Universal Access
Keates, S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20678-3_6
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Software support for experience sampling
Lippold, M. (2010) · University Library - University of Saskatchewan (University of Saskatchewan)
Parkinsonin tautia sairastavien tietokoneen käyttö
Hartikainen, M. (2015) · Tampere University Institutional Repository (Tampere University)
- Authors
- Keates, S., & Trewin, S.
- Affiliations
- IBM (United States) (US)
- Venue
- Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
- Publisher
- ACM
- Published
- 2005-10-09
- Pages
- 68-75
- OpenAlex
- W2013207568
- Cited by
- 100
- References
- 19
- Citations by year
- 2024: 4 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 5 · 2019: 6 · 2018: 8 · 2017: 4 · 2016: 5 · 2015: 9 · 2013: 14 · 2012: 5
- FWCI
- 3.63
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) (publishedVersion)
- Greenwich Academic Literature Archive (University of Greenwich) (submittedVersion)
- Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion)
- Funders
- American Parkinson Disease Association
- Parkinson Vereniging
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- Parkinson's disease, aging, cursor positioning, mouse input, motor impairment, visual impairment, older adults, human-computer interaction, movement metrics
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