The DOI matches its Crossref record, with a small difference in title or year; 30 of the 30 references it cites were found in a registry or an index.
Age-related differences in the initial usability of mobile device icons
Abstract
Mobile devices offer much potential to support older adults (age 65+). However, older adults have been relatively slow to adopt mobile devices. Although much ongoing HCI research has examined usability problems to address this issue, little work has looked at whether existing graphical icons are harder to use for this population compared with younger adults. We conducted a qualitative exploratory study and a follow-up experimental study to determine which icon characteristics help initial icon usability for older adults. We found that our older participants did have more problems using existing mobile device icons, but that particular icon characteristics – semantically close meaning (i.e. natural, close link between depicted objects and associated function), familiar, labelled and concrete (i.e. those depicting real-world objects) – improved icon usability for them. We discuss how these findings can help icon designers to create mobile device icons that are more suited to the abilities and technology experience of older adults.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“The results of the preliminary tests indicated that spatial ability, verbal memory, and self-efficacy of younger users were significantly higher than older users.”
From Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review (2017) · cites this paper as [40]
In the citing paper
“Although all older users in their study were experienced computer users, the study found that more than half of them were not able to build a mental model of how the system was constructed.”
From Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review (2017) · cites this paper as [40]
In the citing paper
“However, further analysis found that the variable which had the best predictive power for navigation performance was not age but spatial ability; age was only a carrier variable that was related to many variables which changed over the lifespan.”
From Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review (2017) · cites this paper as [40]
In the citing paper
“Task completion time, number of tasks completed, detour steps, and nodes revisited of older users were significantly greater than those of younger users; in other words, younger users outperformed older users on mobile menu navigation [40].”
From Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review (2017) · cites this paper as [40]
In the citing paper
“Their study also found that both verbal memory and spatial ability were related to strategies employed in menu navigation.”
From Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review (2017) · cites this paper as [40]
Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
Collected Papers of Charles Sanders Peirce
G., T. (1933) · Nature · doi:10.1038/131639b0 · Cited by 1,120
Feature memory and binding in young and older adults
Chalfonte, B. L., & Johnson, M. K. (1996) · Memory & Cognition · doi:10.3758/bf03200930 · Cited by 835
Fisk, A. D., Rogers, W. A., Charness, N., Czaja, S. J., & Sharit, J. (2004) · doi:10.1201/9781420023862 · Cited by 781
Collected Papers of Charles Sanders Peirce.
N., E., Hartshorne, C. H., & Weiss, P. (1934) · The Journal of Philosophy · doi:10.2307/2016224 · Cited by 588
Possible implications of aging for interface designers
Hawthorn, D. (2000) · Interacting with Computers · doi:10.1016/s0953-5438(99)00021-1 · Cited by 475
Designing for dynamic diversity
Gregor, P., Newell, A. F., & Zajicek, M. (2002) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/638249.638277 · Cited by 371
Fat Finger Worries: How Older and Younger Users Physically Interact with PDAs
Siek, K. A., Rogers, Y., & Connelly, K. H. (2005) · Lecture Notes in Computer Science · doi:10.1007/11555261_24 · Cited by 337
McDougall, S. J. P., Curry, M. B., & de Bruijn, O. (1999) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200730 · Cited by 271
The ICON Book: Visual Symbols for Computer Systems and Documentation
Horton, W. K. (1994) · Cited by 203
How older adults meet complexity: Aging effects on the usability of different mobile phones
Ziefle, M., & Bay, S. (2005) · Behaviour & Information Technology · doi:10.1080/0144929042000320009 · Cited by 194 · cited 1×
“2004), interface complexity (Ziefle and Bay 2005).”
Wiedenbeck, S. (1999) · Behaviour and Information Technology · doi:10.1080/014492999119129 · Cited by 183
Technology generation and age in using layered user interfaces
Rama, M. D., de Ridder, H., & Bouma, H. (2001) · Gerontechnology · doi:10.4017/gt.2001.01.01.003.00 · Cited by 171
Behavioral Research Methods in Human-Computer Interaction
Landauer, T. K. (1997) · Handbook of Human-Computer Interaction · doi:10.1016/b978-044481862-1.50075-3 · Cited by 162
McDougall, S. J. P., de Bruijn, O., & Curry, M. B. (2000) · Journal of Experimental Psychology Applied · doi:10.1037/1076-898x.6.4.291 · Cited by 131
Computer Technology and the Older Adult
Czaja, S. J. (1997) · Elsevier eBooks · doi:10.1016/b978-044481862-1.50100-x · Cited by 117
Mental Models of a Cellular Phone Menu. Comparing Older and Younger Novice Users
Ziefle, M., & Bay, S. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-28637-0_3 · Cited by 112
A study of the use of mobile phones by older persons
Kurniawan, S., Mahmud, M., & Nugroho, Y. (2006) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1125451.1125641 · Cited by 108
Baecker, R. M., Small, I., & Mander, R. (1991) · doi:10.1145/108844.108845 · Cited by 107
The effect of icon spacing and size on the speed of icon processing in the human visual system
Lindberg, T., & Näsänen, R. (2003) · Displays · doi:10.1016/s0141-9382(03)00035-0 · Cited by 106
Naveh‐Benjamin, M., Guez, J., & Shulman, S. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03196738 · Cited by 102
How universal is good design for older users?
Hawthorn, D. (2002) · doi:10.1145/957205.957213 · Cited by 82
The Resonant Interface: HCI Foundations for Interaction Design
Heim, S. (2007) · Cited by 70
Issues surrounding the user-centred development of a new interactive memory aid
Inglis, E. A., Szymkowiak, A., Gregor, P., Newell Alan, F., Hine, N., Shah, P., Wilson, B. A., & Evans, J. J. (2003) · Universal Access in the Information Society · doi:10.1007/s10209-003-0057-7 · Cited by 59
Macular degeneration and visual icon use: deriving guidelines for improved access
Jacko, J. A., Barreto, A. B., Scott, I. U., Chu, J. Y. M., Vitense, H. S., Conway, F. T., & Fain, W. B. (2002) · Universal Access in the Information Society · doi:10.1007/s102090100015 · Cited by 23
Learning to use interactive devices : age differences in the reasoning process
Freudenthal, T. D. (1998) · TU/e Research Portal · doi:10.6100/ir513362 · Cited by 19
How universal is good design for older users?
Hawthorn, D. (2002) · ACM SIGCAPH Computers and the Physically Handicapped · doi:10.1145/960201.957213 · Cited by 13
A Design Space for Location-Sensitive Aids for Older Users
Goodman, J., & Gray, P. (2003) · Cited by 11
Research works printed but not linked: 9
- Benson C., 2005, Designing effective icons [online]
- Benton A. L., 1978, Multilingual aphasia examination manual
- Goodman J., 2004, HCI and the older population, workshop at the HCI 2004, 13
- 2009, Gus! Pocket Communicator [online]
- 2009, Lingraphica product overview [online]
- Marmor M. F., 1998, Aging & Vision News [online]
- Moor K. A., 2004, A comparative study of elderly, younger, and chronically ill novice PDA users
- 2006, Media literacy audit: report on media literacy amongst older people
- 1999, Design guidelines: Application graphics [online]
Cited by
Sorted by citations
Mobile Application Usability: Conceptualization and Instrument Development1
Hoehle, H., & Venkatesh, V. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.2.08 · Cited by 468
The mobile revolution—using smartphone apps to prevent cardiovascular disease
Neubeck, L., Lowres, N., Benjamin, E. J., Freedman, S. B., Coorey, G., & Redfern, J. (2015) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2015.34 · Cited by 232
Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review
Punchoojit, L., & Hongwarittorrn, N. (2017) · Advances in Human-Computer Interaction · doi:10.1155/2017/6787504 · Cited by 235
“The studies of Gatsou et al. [65], Leung et al. [64], Ghayas et al. [72], and Koutsourelakis and Chorianopoulos [75] show the effect of age on icon usability.”
BackgroundHow Older Adults Learn to Use Mobile Devices: Survey and Field Investigations
Leung, R., Tang, C., Haddad, S., Mcgrenere, J., Graf, P., & Ingriany, V. (2012) · ACM Transactions on Accessible Computing · doi:10.1145/2399193.2399195 · Cited by 162
Self-citationDesign Guidelines of Mobile Apps for Older Adults: Systematic Review and Thematic Analysis
Gomez-Hernandez, M., Ferre, X., Moral, C., & Villalba-Mora, E. (2023) · JMIR mHealth and uHealth · doi:10.2196/43186 · Cited by 161
“This category includes guidelines 9-11: • Use icons that are concrete and familiar images [60,68,69].”
BackgroundInfluential
Metadata
- Authors
- Leung, R., McGrenere, J., & Graf, P.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Leung, Rock
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2011-09
- Volume
- 30
- Issue
- 5
- Pages
- 629-642
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W2011111325
- Cited by
- 102
- References
- 30
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 6 · 2023: 2 · 2022: 11 · 2021: 5 · 2020: 6 · 2019: 9 · 2018: 3 · 2017: 8 · 2016: 7 · 2015: 8 · 2014: 8 · 2013: 5 · 2012: 6
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behaviour and Information Technology (publishedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Human Factors and Ergonomics › Safety Warnings and Signage
- Keywords
- older adults, age differences, icon design, semantic meaning, familiarity, technology adoption, user interface design
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