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.
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“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
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]
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“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
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“…that older adults have a major problem with using semantically distant or complex icons due to di ffi culties in building and applying accurate mental models between the graphical item and its operational meaning (Action 8, 19-23) (Leung, McGrenere, and Graf 2011; Remington, Yuen, and Pashler 2016).”
BackgroundHoehle, H., Aljafari, R., & Venkatesh, V. (2016) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2016.02.001 · Cited by 120
“…usability (Hartmann, et al. 2008; Sonderegger et al., 2012) because colorful application interfaces produce initial affective user reactions, which could ultimately impact the user ’ s continued intention to use mobile application (Nilsson, 2009; Leung et al., 2011; Dong and Zhong, 2012).”
BackgroundMcDougall, S. J. P., Reppa, I., Kulik, J., & Taylor, A. (2016) · Applied Ergonomics · doi:10.1016/j.apergo.2016.02.006 · Cited by 68
“Both the accuracy and speed with which users can identify icons is affected by the concreteness, or pictorialness, of the icons on an interface (e.g. Chan & Ng, 2010; Green & Barnard, 1990; Leung et al., 2011; Rogers & Oborne, 1987; Schroder & Zeifle, 2008; Stotts, 1998).”
BackgroundO'brien, M. A., Rogers, W. A., & Fisk, A. D. (2012) · ACM Transactions on Accessible Computing · doi:10.1145/2141943.2141947 · Cited by 61
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Granata, C., Pino, M., Legouverneur, G., Vidal, J.-S., Bidaud, P., & Rigaud, A.-S. (2013) · Technology and Health Care · doi:10.3233/thc-130718 · Cited by 58
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Prada, M., Rodrigues, D. L., Silva, R. R., & Garrido, M. V. (2015) · Behavior Research Methods · doi:10.3758/s13428-015-0643-7 · Cited by 41
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Sandesara, M., Bodkhe, U., Tanwar, S., Alshehri, M. D., Sharma, R., Neagu, B.-C., Grigoraş, G., & Raboacă, M. S. (2022) · Mathematics · doi:10.3390/math10142380 · Cited by 39
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Zhou, J., Chourasia, A., & Vanderheiden, G. (2017) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2016.1265827 · Cited by 32
“…of concrete icons over abstract icons was not necessarily true for all cases but was influenced by factors such as icon complexity (Chanwimalueng & Kasemsan, 2011), computer experience (Isherwood, 2009; Isherwood, McDougall, & Curry, 2007), and age (Leung, 2009; Leung, McGrenere, & Graf, 2011).”
BackgroundResultInfluentialJin, X., & Fan, M. (2022) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3517428.3544820 · Cited by 37
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BackgroundUsability Attributes for Mobile Applications: A Systematic Review
Alturki, R., & Gay, V. C. (2019) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-319-99966-1_5 · Cited by 30
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Sulaiman, W. N. A. W., & Mustafa, S. E. (2019) · Publishing Research Quarterly · doi:10.1007/s12109-019-09675-3 · Cited by 31
The relation between usability and product success in cell phones
Kim, K., Proctor, R. W., & Salvendy, G. (2011) · Behaviour and Information Technology · doi:10.1080/0144929x.2011.596997 · Cited by 29
“Ren and Zhou (2009) also investigated the usability of the stylus pen in handheld device for various age groups, and Leung et al. (2009) studied usability of mobile device icons for older adults.”
BackgroundAn investigation to obtain a simple mobile phone interface for older adults
Sulaiman, S. B., & Sohaimi, I. S. (2010) · International Conference on Intelligent and Advanced Systems · doi:10.1109/icias.2010.5716254 · Cited by 29
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BackgroundResultInfluentialDevelopment and Evaluation of an Outdoor Multisensory AR System for Cultural Heritage
Marto, A., Melo, M., Gonçalves, A., & Bessa, M. (2021) · IEEE Access · doi:10.1109/access.2021.3050974 · Cited by 27
“older participants using mobile devices [59].”
BackgroundThe effects of redundancy in user-interface design on older users
Gudur, R. R., Blackler, A. L., Popović, V., Thompson, H., & Mahar, D. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.102385 · Cited by 23
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Cherng, F., Lin, W., King, J., & Lee, Y.-C. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858133 · Cited by 22
“Several studies have evaluated icons in terms of behavioral-performance indicators such as reaction time, task completion time, and self-report method [33, 22, 21].”
InfluentialDosso, C., & Chevalier, A. (2021) · Educational Gerontology · doi:10.1080/03601277.2021.1886634 · Cited by 20
Study on the Differences of Icon Cognition of Graphical Interface for Age-Friendly Design
Liu, H., Wang, W., Liu, Y., Song, F., Wang, S., & Guo, H. (2022) · Journal of Gerontological Social Work · doi:10.1080/01634372.2022.2139319 · Cited by 21
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BackgroundWu, J., Jiao, D., Lu, C., Li, C., Huang, X., & Weng, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19084525 · Cited by 23
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Leung, R. (2009) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1520340.1520443 · Cited by 16
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BackgroundSelf-citationExploration of the usability quality attributes of mobile government services: a literature review
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Song, X., Lin, Z., & Tang, R. (2024) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2024.103613 · Cited by 14
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Ghayas, S., Sulaiman, S. B., Khan, M., & Jaafar, J. (2013) · Lecture notes in computer science · doi:10.1007/978-3-319-02958-0_59 · Cited by 14
Estuar, M. R. J. E., Leon, M. M. D., Santos, M. D., Ilagan, J. O., & May, B. A. (2014) · International Conference on IT Convergence and Security (ICITCS) · doi:10.1109/icitcs.2014.7021823 · Cited by 14
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BackgroundSilva, S., Braga, D., & Teixeira, A. J. S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07446-7_18 · Cited by 14
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BackgroundLeitão, R. (2012) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/d4yd-1r32 · Cited by 13
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Vodlan, T., Tkalčič, M., & Košir, A. (2014) · Multimedia Tools and Applications · doi:10.1007/s11042-014-1933-2 · Cited by 12
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BackgroundThe Learnability of Mobile Application Interfaces Needs Improvement
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BackgroundEffects of Mobile Application Icon Complexity and Border on College Students’ Cognition
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Zhao, K., Wang, X., & Bai, L. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-78108-8_10 · Cited by 9
Li, Y.-Y., Song, F., Liu, Y., & Wang, Y. (2022) · Sustainability · doi:10.3390/su142214759 · Cited by 9
Pino, M., Granata, C., Legouverneur, G., Boulay, M., & Rigaud, A.-S. (2012) · Gerontechnology · doi:10.4017/gt.2012.11.02.490.00 · Cited by 9
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Olmsted-Hawala, E. L., Nichols, E., Falcone, B., Figueroa, I. J., Antoun, C., & Wang, L. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-92034-4_26 · Cited by 9
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Ghayas, S., Al-Hajri, S. A., & Sulaiman, S. B. (2018) · Journal of Computer Science · doi:10.3844/jcssp.2018.1134.1143 · Cited by 7
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Shamim, A., Balakrishnan, V., Tahir, M. S., & Qureshi, M. A. (2016) · Behaviour and Information Technology · doi:10.1080/0144929x.2016.1141235 · Cited by 6
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BackgroundVisualizing energy information on mobile devices
Kohlbrecher, J.-P., Hakobyan, S., Pickert, J., & Großmann, U. (2011) · IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) · doi:10.1109/idaacs.2011.6072885 · Cited by 6
“Leung et al. [13] found age-related differences with the reception of mobile device icons.”
BackgroundEvIcon: Designing High‐Usability Icon with Human‐in‐the‐loop Exploration and IconCLIP
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“Research indicates that the usability of graphical user interface icons is relatively low for older users (Koutsourelakis & Chorianopoulos, 2010; Leung et al., 2011).”
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“The usability of mobile apps has been widely discussed in the literature using several different key criteria, for example: effectiveness [17,18], efficiency [19], satisfaction [19,20], learnability [21,22], memorability [20,23], and engagement [24,25].”
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“These research works found that a close and natural relationship between an icon and the function it represented does help, and that concrete rather than abstract metaphors contribute to fewer errors and higher usability among older adults [32, 33, 39, 60].”
Mao, J., Lyu, B., Lin, K., & Pan, X. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2470281 · Cited by 2
“These results further improved the relevant research (Leung et al., 2011; H. Liu et al., 2023; Song et al., 2024), provided empirical evidence for understanding the cognitive performance of different generations on icons depicting product appearance, and also laid the foundation for further…”
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Williams, D., Gani, M. O., Addo, I. D., Majumder, A. J. A., Tamma, C. P., Wang, M.-T., Chang, C., Ahamed, S. I., & Chu, W. C. (2015) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-4666-9530-6.ch001 · Cited by 2
“Lack of experience with particular application interfaces and icons can make the meanings of the icons more difficult to interpret (Leung et al., 2011).”
BackgroundNeurophysiological Indices of Human Social Interactions Between Humans and Robots
Smith, S. J., Stone, B. T., Ranatunga, T., Nel, K., Ramsøy, T. Z., & Berka, C. (2017) · Communications in computer and information science · doi:10.1007/978-3-319-58750-9_36 · Cited by 2
Comparison of Three Navigation Button Designs in Mobile Survey for Older Adults
Rivas, A. G., Antoun, C., Feuer, S., Mathew, T., Nichols, E., Olmsted-Hawala, E. L., & Wang, L. (2022) · Survey Practice · doi:10.29115/sp-2022-0005 · Cited by 2
EVALUATION OF MHEALTH FEATURES ON USER EXPERIENCE
(2022) · Issues in Information Systems · doi:10.48009/3_iis_2022_105 · Cited by 2
“However, this work could be extended by investigating how the needs of older users may be different with an app, such as the work done in (Leung, Mcgrenere, Graf, 2011).”
Usability of mobile devices and applications for elderly users
Ropponen, J.-O. (2016) · Cited by 2
JongHwan, S., Kun-Pyo, L., & 박은정 (2015) · Journal of Integrated Design Research · doi:10.21195/jidr.2015.14.3.004 · Cited by 1
A Review of Age-Related Characteristics for Touch-Based Performance and Experience
Liao, J., Lou, J., Wu, Q., Zou, M., & Zheng, L. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-92034-4_21 · Cited by 1
Proposal and Implementation of an Elderly-oriented User Interface for Learning Support Systems
Lu, M., Tamura, K., Okamoto, T., Oi, M., Shimada, A., Hatano, K., Yamada, M., & Konomi, S. (2019) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3330430.3333650 · Cited by 1
“The physical and mental limitations, such as vision diminution and declines of cognitive capabilities [1,4,5], of elderly users must be considered, and their preferences are also related with reducing the physical and mental loads when operating the system [2].”
BackgroundLiu, Y., Wu, J., Wang, X., Pan, C., Chen, Z., & Xue, C. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2301261 · Cited by 1
“…size of icons/text, the size and arrangement of buttons, interface element metaphors, and interface navigation, with the psycho-cognitive and upper limb motor abilities of the elderly (Chang et al., 2014; Hou et al., 2022; Hou & Hu, 2021; Leung et al., 2011; Shi et al., 2021; Xiong & Muraki, 2016).”
Gathering the Requirements for a Mobile Device Tutorial for Older Adults
Washington, M. A. (2015) · Cited by 1
Ålderns påverkan på användningen av mobila betalningar- En kvantitativ studie.
Berta, K. (2013) · Diva portal (Dalarna University Library)
Uniformity in the midst of diversity
Venter, I. M., Blignaut, R. J., & Renaud, K. (2014) · Journal of Engineering Design and Technology · doi:10.1108/jedt-08-2013-0060
HCI factors affecting the mobile internet uptake in Jordan
Omar, F. (2012) · Brunel University Research Archive (BURA) (Brunel University London)
Monkman, H., Kushniruk, A. W., & Borycki, E. M. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-1928-7.ch008
Creating a smart application system to provide a beneficial maintenance service for elderly drivers
Jung, S., Meng, H., & Qin, S. (2017) · MATEC Web of Conferences · doi:10.1051/matecconf/201711901045
Swiping up/down for mobile gallery navigation: The role of instruction design type
Sedovšek, R., Pogačnik, M., & Hladnik, A. (2017) · 2017 Computing Conference · doi:10.1109/sai.2017.8252152
“It is known from the earlier studies that unlabeled icons are more difficult to use and comprehend in mobile UIs regardless of the age group [15].”
BackgroundDesigning a Navigation System for Older Adults: A Case Study Under Real Road Condition
Ruer, P., Brun, D., Gouin-Vallerand, C., & Vallières, É. F. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32785-9_15
PROVIDING HOUSEHOLD CUSTOMERS WITH SMART METERING DATA ON MOBILE DEVICES
Hakobyan, S., Kohlbrecher, J.-P., Pickert, J., & Großmann, U. (2011) · International Journal of Computing · doi:10.47839/ijc.10.4.763
“Leung et al. [18] found age-related differences with the reception of mobile device icons.”
BackgroundNakkawita, S. G. (2020) · Louisiana State University · doi:10.31390/gradschool_dissertations.5368
Emerging Technologies for Dementia Patient Monitoring
Qassem, T. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-2589-9.ch006
Monkman, H., Kushniruk, A. W., & Borycki, E. M. (2014) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-4666-6150-9.ch016
Effect of Aging on the Perception of Product Operations Through Semantic CluesPreprint
Zhong, Y., & Harada, E. T. (2024) · doi:10.31219/osf.io/86y54
Comparative Study of Age-related Variations in Recognition of iPhone App Icons: iOS 17 Icons
Byun, J. H., Jeong, I., Chung, Y., & Choi, Y. (2024) · Journal of Digital Contents Society · doi:10.9728/dcs.2024.25.9.2507
Development and Evaluation of Smartphones Interface for Elderly
Bhatti, A. M., Iqbal, M. W., & Siddique, I. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-77620-5_6
Punchoojit, L., & Hongwarittorrn, N. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2551571
“Age differences in icon interpretation were explored in studies by Gatsou et al. (2011), Kim and Cho (2010), Koutsourela-kis and Chorianopoulos (2010), Leung et al. (2011), and Kuo et al. (2010), indicating lower recognition rates and more errors among elderly users.”
Bigotto, F., Panigada, J., Bruni, F., Mancuso, V., Cavedoni, S., Stramba-Badiale, M., Goulene, K., Pedroli, E., & Serino, S. (2026) · JMIR Aging · doi:10.2196/68032
“First, participants struggled to recognize the app icon, a finding consistent with research showing that older adults often have difficulty with abstract icons [78].”
Correlations Between Subjective Icon Characteristics and Entropy From A User Perspective
Satcharoen, K., & Tangtisanon, P. (2025) · doi:10.1145/3783862.3783893
“More recently, researchers have turned to investigate the fundamental visual properties of icons and their effect on computing speed and accuracy, as well as their subjective sense of computing ‘space’ and system navigability [4–11].”
Ayhan, N. (2026) · Educational Gerontology · doi:10.1080/03601277.2026.2670462
“This fear can stem from insufficient technological knowledge or from previous negative experiences (Laguna & Babcock, 1997; Leung et al., 2009).”
Niu, J., Yin, Y., & Wang, S. (2026) · Health Expectations · doi:10.1111/hex.70718 · Cited by 1
“Recognition of graphical symbols depends on prior knowledge and memory [75], and older adults tend to benefit more from concrete and familiar icon styles than from abstract graphics [76, 77].”
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
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