The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Training wheels in a user interface
Open accessAbstract
New users of high-function application systems can become frustrated and confused by the errors they make in the early stages of learning. A training interface for a commercial word processor was designed to make typical and troublesome error states “unreachable,” thus eliminating the sources of some new-user learning problems. Creating a training environment from the basic function of the system itself afforded substantially faster learning coupled with better learning achievement and better performance on a comprehension post-test. A control group spent almost a quarter of their time recovering from the error states that the training interface blocked off. We speculate on how this training strategy might be refined, and more generally, on how function should be organized in a user interface.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source doesn’t support the claim as written.
In the citing paper
“Carroll and Carrithers [1984] exploited this effect with their Training Wheels interfaces, which intentionally reduced the number of commands displayed.”
From Supporting Novice to Expert Transitions in User Interfaces (2015) · cites this paper as Carroll and Carrithers [1984]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The original concept involved hiding advanced interface controls; allowing users to make fewer initial errors and learn the system more effectively [15].”
From Progressive Disclosure: When, Why, and How Do Users Want Algorithmic Transparency Information? (2020) · cites this paper as [15]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The original concept involved hiding advanced interface controls; allowing users to make fewer initial errors and learn the system more effectively [14].”
From Progressive disclosure (2019) · cites this paper as [14]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Progressive disclosure has a long history in UI research, dating back to the Xerox Star and early word processing systems [14,61,74].”
From Progressive disclosure (2019) · cites this paper as [14]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“This enhanced understanding of core concepts gives them a framework that later helps them integrate the complexities of the advanced features [6,15].”
From Progressive Disclosure: When, Why, and How Do Users Want Algorithmic Transparency Information? (2020) · cites this paper as [15]
The cited source says what the claim attributes to it.
In the citing paper
“Progressive disclosure has a long history in UI research, dating back to the Xerox Star and early word processing systems [15,62,76].”
From Progressive Disclosure: When, Why, and How Do Users Want Algorithmic Transparency Information? (2020) · cites this paper as [15]
The cited source says what the claim attributes to it.
In the citing paper
“However, empirical studies examining progressive disclosure show that people learn better when they are initially limited to a smaller set of core features.”
From Progressive Disclosure: When, Why, and How Do Users Want Algorithmic Transparency Information? (2020) · cites this paper as [15]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Learning to use word processors
Mack, R. L., Lewis, C., & Carroll, J. M. (1983) · ACM Transactions on Information Systems · doi:10.1145/357436.357440 · Cited by 204
Self-citationThe adventure of getting to know a computer
Carroll (1982) · Computer · doi:10.1109/mc.1982.1653888 · Cited by 113
Flagged first, then by citations
Research works printed but not linked: 4
- Carroll . J.M. Presentation and form in user-interface architecture. BYTE 8 , 12 ( Dec. 1983 ). 113-122. Carroll. J.M. Presentation and form in user-interface architecture. BYTE 8, 12 (Dec. 1983). 113-122.
- Carroll . J.M. and Mack . R.L. Actively learning to use a word processor. In Cognitive Aspects of Skilled Typewriting, W.E. Cooper, ed . Springer-Verlag , New York , 1983 . Carroll. J.M. and Mack. R.L. Actively learning to use a word processor. In Cognitive Aspects of Skilled Typewriting, W.E. Cooper, ed. Springer-Verlag, New York, 1983.
- Carroll , J.M. and Mack , R.L. Learning to use a word processor: By doing, by thinking, and by knowing. In Human Factors in Computing Systems, J.C. Thomas and M. Schneider , eds. ABLEX, Norwood, N.J. , 1984 . Carroll, J.M. and Mack, R.L. Learning to use a word processor: By doing, by thinking, and by knowing. In Human Factors in Computing Systems, J.C. Thomas and M. Schneider, eds. ABLEX, Norwood, N.J., 1984.
- Ferguson . G.A. Statistical Analysis in Psychology and Education. Mc- Graw-Hill , New York . 1971 . Ferguson. G.A. Statistical Analysis in Psychology and Education. Mc- Graw-Hill, New York. 1971.
Cited by
Sorted by citations
Items 101–200 of 343
McCarthy, T., Pal, J., & Cutrell, E. (2013) · Assistive technology · doi:10.1080/10400435.2013.768719 · Cited by 26
E-mail interfaces for older people
Arnott, J. L., Khairulla, Z., Dickinson, A., Syme, A., Alm, N., Eisma, R., & Gregor, P. (2005) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2004.1398283 · Cited by 27
The barriers that older novices encounter to computer use
Dickinson, A., Eisma, R., & Gregor, P. (2011) · Universal Access in the Information Society · doi:10.1007/s10209-010-0208-6 · Cited by 26
Phishguru: a system for educating users about semantic attacks
Cranor, L. F., & Kumaraguru, P. (2009) · Cited by 27
Productivity gains via an adaptive user interface: an empirical analysis
Trumbly, J. E., Arnett, K. P., & Johnson, P. C. (1994) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1994.1004 · Cited by 27
Learning Consistent, Interactive, and Meaningful Task‐Action Mappings: A Computational Model
Howes, A., & Young, R. M. (1996) · Cognitive Science · doi:10.1016/s0364-0213(99)80009-3 · Cited by 27
Animated demonstrations and training wheels interfaces in a complex learning environment
Spannagel, C., Girwidz, R., Löthe, H., Zendler, A. M., & Schroeder, U. (2007) · Interacting with Computers · doi:10.1016/j.intcom.2007.08.002 · Cited by 27
Universal Usability: Past, Present, and Future
Meiselwitz, G., Wentz, B., & Lazar, J. (2010) · Foundations and Trends® in Human–Computer Interaction · doi:10.1561/1100000029 · Cited by 30
Scaffolding Ethics-Focused Methods for Practice Resonance
Gray, C. M., Chivukula, S. S., Carlock, T. V., Li, Z., & Duane, J.-N. (2023) · Designing Interactive Systems Conference · doi:10.1145/3563657.3596111 · Cited by 28
Integrating adaptive user interface capabilities in enterprise applications
Akiki, P. A., Bandara, A. K., & Yu, Y. (2014) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/2568225.2568230 · Cited by 25
Santhanam, R., Yi, M. Y., Sasidharan, S., & Park, S.-H. (2013) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00056 · Cited by 25
The Influence of Cognitive Load on Transfer With Error Prevention Training Methods
Hutchins, S., Wickens, C. D., Carolan, T. F., & Cumming, J. M. (2013) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720812469985 · Cited by 25
Fraser, C. A., Dontcheva, M., Winnemöller, H., Ehrlich, S. M., & Klemmer, S. (2016) · Designing Interactive Systems Conference · doi:10.1145/2901790.2901849 · Cited by 24
Guzdial, M., & Kehoe, C. M. (1998) · Cited by 23
User help techniques for usable security
Herzog, A., & Shahmehri, N. (2007) · Computer Human Interaction for Management of Information Technology · doi:10.1145/1234772.1234787 · Cited by 23
Reducing the graphical user interface of a dynamic geometry system
Schimpf, F., & Spannagel, C. (2011) · ZDM · doi:10.1007/s11858-011-0325-6 · Cited by 22
Blocks-to-CAD: A Cross-Application Bridge from Minecraft to 3D Modeling
Lafreniere, B., & Grossman, T. (2018) · Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology · doi:10.1145/3242587.3242602 · Cited by 22
USER-CENTRED DESIGN The Home use challenge
Monk, A. F. (2000) · Cited by 22
Making computer tasks at work more playful: Implications for systems analysts and designers
Webster, J. (1988) · ACM SIGCPR Conference on Computer Personnel Research (SIGCPR) · doi:10.1145/57216.57227 · Cited by 21
Prompting, feedback and error correction in the design of a scenario machine
Carroll, J. M., & Kay, D. S. (1985) · ACM SIGCHI Bulletin · doi:10.1145/1165385.317485 · Cited by 21
Self-citationShould Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
Sarkar, A. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544549.3582741 · Cited by 19
Research Report. Learning from Goal-Directed Error Recovery Strategy
Sein, M. K., & Santhanam, R. (1999) · Information Systems Research · doi:10.1287/isre.10.3.276 · Cited by 19
An Investigation of Metrics for the In Situ Detection of Software Expertise
Grossman, T., & Fitzmaurice, G. W. (2014) · Human-Computer Interaction · doi:10.1080/07370024.2014.881668 · Cited by 21
Mallin, M. L., Jones, D. E., & Cordell, J. L. (2010) · Journal of Marketing Education · doi:10.1177/0273475309360163 · Cited by 18
Kazemitabaar, M., Chyhir, V., Weintrop, D., & Grossman, T. (2022) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3501712.3529733 · Cited by 17
Designing a multi-layered image viewer
Christiernin, L. G., Lindahl, F., & Torgersson, O. (2004) · Nordic Conference on Human-Computer Interaction · doi:10.1145/1028014.1028041 · Cited by 17
Prompting, feedback and error correction in the design of a scenario machine
Carroll, J. M., & Kay, D. S. (1985) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/317456.317485 · Cited by 17
Self-citationSupercharging Trial-and-Error for Learning Complex Software Applications
Masson, D., Vermeulen, J., Fitzmaurice, G. W., & Matejka, J. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501895 · Cited by 16
Crowdsourcing user interface adaptations for minimizing the bloat in enterprise applications
Akiki, P. A., Bandara, A. K., & Yu, Y. (2013) · ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS) · doi:10.1145/2494603.2480319 · Cited by 16
TNT: a talking tutor 'n' trainer for teaching use of interactive computer systems
Nakatani, L. H., Egan, D. E., Ruedisueli, L. W., Hawley, P. M., & Lewart, D. K. (1986) · ACM SIGCHI Bulletin · doi:10.1145/22339.22344 · Cited by 16
Achieving Psychological Simplicity
Thomas, J. C., & Richards, J. T. (2012) · Human factors and ergonomics · doi:10.1201/b11963-ch-22 · Cited by 16
Word processing techniques and user learning preferences
Raban, A. (1988) · ACM SIGCHI Bulletin · doi:10.1145/54386.54392 · Cited by 15
Evaluation of a role-based approach for customizing a complex development environment
Findlater, L., McGrenere, J., & Modjeska, D. (2008) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357251 · Cited by 15
Hert, C. A. (1994) · Internet Research · doi:10.1108/10662249410798885 · Cited by 15
How We Cope with Digital Technology
Turner, P. (2013) · Synthesis lectures on human-centered informatics · doi:10.1007/978-3-031-02201-2 · Cited by 15
Screen Interface Design for Mobile-assisted Language Learning in EFL Context: A Case Study in Japan
Cortez, R., & Roy, D. (2012) · Journal of Language Teaching and Research · doi:10.4304/jltr.3.3.353-368 · Cited by 14
Lazar, J. K., Feng, J. H., & Hochheiser, H. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-805390-4.00001-7 · Cited by 14
Mastering Alternative Computer Access: The Role of Understanding, Trust, and Automaticity
Treviranus, J. (1994) · Assistive Technology · doi:10.1080/10400435.1994.10132225 · Cited by 14
Larkin, I. (1987) · Information and Software Technology · doi:10.1016/0950-5849(87)90070-x · Cited by 14
Expressing help at appropriate levels
Andrade, O. D., & Novick, D. (2008) · ACM International Conference on Design of Communication (SIGDOC) · doi:10.1145/1456536.1456562 · Cited by 14
Wang, J. S., Haider, S., Tohidi, A., Gupta, A., Zhang, Y., Callison-Burch, C., Rothschild, D. M., & Watts, D. J. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713716 · Cited by 27
Accessing government statistical information
Marchionini, G., Haas, S. W., Zhang, J., & Elsas, J. L. (2005) · Computer · doi:10.1109/mc.2005.393 · Cited by 13
Hale, K. S., Stanney, K. M., Milham, L., Bell-Carroll, M., & Jones, D. L. (2009) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220802151310 · Cited by 13
Observations and inventions: new approaches to the study of humancomputer interaction
Monk, A. F., & Wright, P. (1991) · Interacting with Computers · doi:10.1016/0953-5438(91)90012-q · Cited by 13
Senorita: A Chorded Keyboard for Sighted, Low Vision, and Blind Mobile Users
Rakhmetulla, G., & Arif, A. S. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376576 · Cited by 14
Conte, S., & Munteanu, C. (2019) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3338286.3340121 · Cited by 12
A taxonomy of novice user perception of error on the Web
Lazar, J. K., Meiselwitz, G., & Norcio, A. F. (2004) · Universal Access in the Information Society · doi:10.1007/s10209-004-0095-9 · Cited by 12
Progressive Disclosure: Designing for Effective TransparencyPreprint
Springer, A., & Whittaker, S. (2018) · arXiv.org · doi:10.48550/arxiv.1811.02164 · Cited by 24
Mbelekani, N. Y., & Bengler, K. J. (2023) · Information · doi:10.3390/info14100519 · Cited by 11
Vasilopoulos, I., & van Schaik, P. (2018) · Journal of Educational Computing Research · doi:10.1177/0735633118781776 · Cited by 12
Scaffolding Technology for Low Literacy Groups: From Mobile Phone to Desktop PC?
Kavanaugh, A., Puckett, A., & Tatar, D. G. (2013) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2013.765766 · Cited by 11
Explanatory Power of Intelligent Systems
Nakatsu, R. T. (2007) · Springer eBooks · doi:10.1007/1-84628-231-4_7 · Cited by 11
TNT: a talking tutor 'n' trainer for teaching use of interactive computer systems
Nakatani, L. H., Egan, D. E., Ruedisueli, L. W., Hawley, P. M., & Lewart, D. K. (1986) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/22627.22344 · Cited by 11
Khurana, A., Su, X., Wang, A. Y., & Chilana, P. K. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713431 · Cited by 20
Supporting Decision Making in Engineering Design Using Parallel Coordinates in Virtual Reality
Tadeja, S., Kipouros, T., Lu, Y., & Kristensson, P. O. (2021) · AIAA Journal · doi:10.2514/1.j060441 · Cited by 10
McKendree, J., & Zaback, J. (1988) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/57167.57197 · Cited by 10
Hansen, G. W., & Hansen, J. V. (1987) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(87)80060-3 · Cited by 10
Implementing Adaptive Educational Methods with IMS Learning Design
Specht, M. M., & Burgos, D. (2006) · DSpace (Open University in the Netherlands) · Cited by 10
Critical review of experimental research on the usability of hard copy documentation
Mirel, B. (1991) · IEEE Transactions on Professional Communication · doi:10.1109/47.87620 · Cited by 10
Engineering Adaptive Model-Driven User Interfaces for Enterprise Applications
Akiki, P. A. (2014) · Open Research Online (The Open University) · doi:10.21954/ou.ro.00009f7c · Cited by 10
Mbelekani, N. Y., & Bengler, K. J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-35678-0_6 · Cited by 9
Park, T. H., Saxena, A., Jagannath, S., Wiedenbeck, S., & Forte, A. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2468690 · Cited by 9
Contextual in situ help for visual data interfaces
Chundury, P., Yalçın, M. A., Crabtree, J., Mahurkar, A., Shulman, L. M., & Elmqvist, N. (2022) · Information Visualization · doi:10.1177/14738716221120064 · Cited by 9
Supporting collaborative help for individualized use
Huh, J., Newman, M., & Ackerman, M. S. (2011) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979408 · Cited by 9
Wolf, D., Simpson, T. W., & Zhang, X. (2009) · doi:10.1115/detc2009-87294 · Cited by 9
Explaining Scenarios for Information PersonalizationPreprint
Ramakrishnan, N., Rosson, M. B., & Carroll, J. M. (2001) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0111007 · Cited by 9
Self-citationIntroduction to Human-Computer Interaction
Hornbæk, K., Kristensson, P. O., & Oulasvirta, A. (2025) · doi:10.1093/oso/9780192864543.001.0001 · Cited by 13
Automation Confusion: A Grounded Theory of Non-Gamers’ Confusion in Partially Automated Action Games
Cimolino, G., Chen, R., Gutwin, C. A., & Graham, T. C. N. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581116 · Cited by 8
Evanescent Adaptation on Small Screens
Bouzit, S., Chêne, D., & Calvary, G. (2015) · Australian Conference on Computer-Human Interaction (OzCHI) · doi:10.1145/2838739.2838749 · Cited by 8
Dziubak, V., Dubois, P. M. J., Bunt, A., & Terry, M. A. (2016) · Designing Interactive Systems Conference · doi:10.1145/2901790.2901827 · Cited by 8
Learning a word processing system with training wheels and guided exploration
Catrambone, R., & Carroll, J. M. (1986) · ACM SIGCHI Bulletin · doi:10.1145/1165387.275625 · Cited by 8
Self-citationIPCP: Immersive Parallel Coordinates Plots for Engineering Design Processes
Tadeja, S., Kipouros, T., & Kristensson, P. O. (2020) · AIAA SciTech Forum · doi:10.2514/6.2020-0324 · Cited by 8
Creating Minimalist Instruction
Carroll, J. M. (2014) · International Journal of Designs for Learning · doi:10.14434/ijdl.v5i2.12887 · Cited by 7
Self-citationUnderstanding the process of learning touch-screen mobile applications
Tokárová, L., & Weideman, M. (2013) · ACM International Conference on Design of Communication (SIGDOC) · doi:10.1145/2507065.2507066 · Cited by 7
StencilMaps and EphemeralMaps: spatially stable interfaces that highlight command subsets
Scarr, J., Gutwin, C. A., Cockburn, A., & Bunt, A. (2015) · Behaviour and Information Technology · doi:10.1080/0144929x.2015.1046927 · Cited by 7
Arning, K., Himmel, S., & Ziefle, M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-39949-2_27 · Cited by 7
Designing a System for Playful Coached Learning in the STEM Curriculum
Korn, O., Rees, A., & Dix, A. J. (2017) · doi:10.1145/3038535.3038538 · Cited by 9
Designing to Fit Human Capabilities
(1995) · Elsevier eBooks · doi:10.1016/b978-0-08-051574-8.50068-6 · Cited by 7
Applications of psychology to computer‐based tutoring systems
Milech, D., Kirsner, K., Roy, G. G., & Waters, B. (1993) · International Journal of Human-Computer Interaction · doi:10.1080/10447319309526054 · Cited by 7
Engineering adaptive user interfaces for enterprise applications
Akiki, P. A. (2013) · ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS) · doi:10.1145/2494603.2480333 · Cited by 7
Out of the video arcade, into the office
Larson, J. (2007) · interactions · doi:10.1145/1189976.1189992 · Cited by 6
Learning a word processing system with training wheels and guided exploration
Catrambone, R., & Carroll, J. M. (1986) · ACM SIGCHI Bulletin · doi:10.1145/30851.275625 · Cited by 6
Self-citationAbstract and reduced-context representations in fault-finding training
Kostopoulou, O., & DUNCAN, K. D. (2001) · Ergonomics · doi:10.1080/00140130121312 · Cited by 6
iRisk: Towards Responsible AI-Powered Automated Driving by Assessing Crash Risk and Prevention
Mbelekani, N. Y., & Bengler, K. J. (2025) · Electronics · doi:10.3390/electronics14122433 · Cited by 6
Designing a Web-based Decision Aid for Individuals to Consider Lung Cancer Screening
Hung, P.-Y., Lau, Y. K., Ackerman, M. S., & Meza, R. (2019) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3329189.3329210 · Cited by 5
Cole, E. (2013) · Patient-Centered Design of Cognitive Assistive Technology for Traumatic Brain Injury Telerehabilitation · doi:10.2200/s00478ed1v01y201302arh003 · Cited by 4
Improving the learnability of mobile devices for older adults
Leung, R. (2011) · Open Collections · doi:10.14288/1.0052115 · Cited by 5
Gilbert, S. B., Blessing, S. B., & Blankenship, L. A. (2009) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1520340.1520707 · Cited by 5
Transfer of Training in Virtual Environments
Goodenough-Trepagnier, C., Lathan, C., Sebrechts, M. M., Clawson, D. M., & Miller, M. S. (2003) · CRC Press eBooks · doi:10.1201/9781410608888.ch4 · Cited by 5
“Let's see your Search-Tool!” – On the Collaborative use of Tailored Artifacts
Wulf, V. (2001) · Cited by 5
Heron, M. J. (2011) · Cited by 5
A task-action trace for exploratory learners
Payne, S. J., & Howes, A. (1992) · Behaviour and Information Technology · doi:10.1080/01449299208924321 · Cited by 5
Designing tutorials that help users learn through exploration
Vanderlinden, G., Cocklin, T., & McKita, M. (2003) · doi:10.1109/ipcc.1988.24054 · Cited by 5
The Effect of Progressive Disclosure in the Transparency of Large Language Models
Muralidhar, D., Belloum, R., de Oliveira, K. M., Ashok, A., & Mohammad, P. B. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-82633-7_17 · Cited by 6
Kim, Y., Le, T.-L. V., Kim, D., Lee, M., & Lee, S.-J. (2025) · Designing Interactive Systems Conference · doi:10.1145/3715336.3735740 · Cited by 13
Popov, V., Xing, W., Zhu, G., Horwitz, P., & McIntyre, C. (2018) · Cited by 4
Hornbæk, K., Kristensson, P. O., & Oulasvirta, A. (2025) · Oxford University Press eBooks · doi:10.1093/oso/9780192864543.003.0017 · Cited by 4
AppMap: exploring user interface visualizations
Rooke, M. H., Grossman, T., & Fitzmaurice, G. W. (2011) · Cited by 4
Towards Contextualized Learning Services
Specht, M. M. (2009) · Springer eBooks · doi:10.1007/978-3-642-00978-5_14 · Cited by 4
Gender Issues in ICT Adoption: A Literature Review
Goldhaber, T. S., Langdon, P., & Clarkson, P. J. (2014) · Springer eBooks · doi:10.1007/978-3-319-05095-9_6 · Cited by 4
Metadata
- Authors
- Carroll, J. M., & Carrithers, C.
- Affiliations
- IBM (United States) (US)
- Columbia University (US)
- ORCID
- Carroll, John M.
- Venue
- Communications of the ACM
- Published
- 1984-08
- Volume
- 27
- Issue
- 8
- Pages
- 800-806
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W114843461
- Cited by
- 345
- References
- 2
- Citations by year
- 2026: 5 · 2025: 57 · 2024: 5 · 2023: 8 · 2022: 7 · 2021: 2 · 2020: 5 · 2019: 5 · 2018: 8 · 2017: 3 · 2016: 7 · 2015: 6 · 2014: 10 · 2013: 17 · 2012: 5
- FWCI
- 12.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Communications of the ACM (publishedVersion)
- Ablex Publishing Corp. eBooks
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Applied Psychology › Human Resource Development and Performance Evaluation
- Keywords
- user interface design, novice users, user learning, error states, word processing software, user understanding
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review