Interface Adaptation to Novice Older Adults’ Mental Models through Concrete Metaphors

References

• Alpert, S. R. (1991). Self-describing animated icons for human–computer interaction: A research note. Behaviour & Information Technology, 10 (2), 149–152.
   Web of Science ®Google Scholar
• Baecker, R., Small, I., & Mander, R. (1991). Bringing icons to life. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1–6). New York, NY: ACM.
   Google Scholar
• Bangor, A., Kortum, P. T., & Miller, J. T. (2008). An empirical evaluation of the system usability scale. International Journal of Human–Computer Interaction, 24 (6), 574–594.
   Web of Science ®Google Scholar
• Blackwell, A. F. (2006). The reification of metaphor as a design tool. ACM Transactions on Computer-Human Interaction (TOCHI), 13 (4), 490–530.
   Google Scholar
• Brandenburg, S. A., & Vanderheiden, G. C. (1987). Communication, control, and computer access for disabled and elderly individuals. Resource book 1: Communication aids. Rehab/education technology resourcebook series. ERIC. Retrieved from http://eric.ed.gov/?id=ED283305
   Google Scholar
• Bröhl, C., Bützler, J., Jochems, N., & Schlick, C. M. (2013). Icon design for older users of project management software. In M. Kurosu (Ed.), Human–computer interaction. Users and contexts of use (pp. 127–135). Berlin, Germany: Springer.
   Google Scholar
• Chambers, C. T., & Craig, K. D. (1998). An intrusive impact of anchors in childrenʼs faces pain scales. Pain, 78 (1), 27–37.
   PubMed Web of Science ®Google Scholar
• Chanwimalueng, W., & Kasemsan, M. K. (2011). The acceptance and satisfaction of smartphone users toward icon concreteness and complexity. In Proceeding of 16th Business Information Management Conference on Innovation and Knowledge Management A Global Competitive Advantage (pp. 783–790). Amsterdam, The Netherlands: Elsevier.
   Google Scholar
• Choi, J. H., & Lee, H.-J. (2012). Facets of simplicity for the smartphone interface: A structural model. International Journal of Human–Computer Studies, 70 (2), 129–142.
   Web of Science ®Google Scholar
• Craik, K. J. W. (1943). The nature of explanation. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Curry, M. B., McDougall, S. J., & de Bruijn, O. (1998). The effects of the visual metaphor in determining icon efficacy. Paper presented at the Human Factors and Ergonomics Society Annual Meeting (Vol. 42, No. 22, pp. 1590–1594). New York, NY: SAGE Publications.
   Google Scholar
• Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results ( Unpublished doctoral dissertation). Massachusetts Institute of Technology, Cambridge, MA, United States.
   Google Scholar
• Dickinson, A., Eisma, R., Gregor, P., Syme, A., & Milne, S. (2005). Strategies for teaching older people to use the World Wide Web. Universal Access in the Information Society, 4 (1), 3–15.
   Google Scholar
• Dickinson, A., Newell, A. F., Smith, M. J., & Hill, R. L. (2005). Introducing the Internet to the over-60s: Developing an email system for older novice computer users. Interacting with Computers, 17 (6), 621–642.
   Web of Science ®Google Scholar
• Findlater, L., Froehlich, J. E., Fattal, K., Wobbrock, J. O., & Dastyar, T. (2013). Age-related differences in performance with touchscreens compared to traditional mouse input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 343–346). New York, NY: ACM.
   Google Scholar
• Fisk, A. D., & Rogers, W. A. (1997). Handbook of human factors and the older adult. San Diegò, CA: Academic Press.
   Google Scholar
• Fisk, A. D., Rogers, W. A., Charness, N., Czaja, S. J., & Sharit, J. (2009). Designing for older adults: Principles and creative human factors approaches. Boca Raton, FL: CRC Press.
   Google Scholar
• Forsythe, A., Sheehy, N., & Sawey, M. (2003). Measuring icon complexity: An automated analysis. Behavior Research Methods, Instruments, & Computers, 35 (2), 334–342.
   PubMedGoogle Scholar
• García, M., Badre, A. N., & Stasko, J. T. (1994). Development and validation of icons varying in their abstractness. Interacting with Computers, 6 (2), 191–211.
   Web of Science ®Google Scholar
• Gilhooly, K. J., & Logie, R. H. (1980). Age-of-acquisition, imagery, concreteness, familiarity, and ambiguity measures for 1,944 words. Behavior Research Methods & Instrumentation, 12 (4), 395–427.
   Web of Science ®Google Scholar
• GPII. (2011). Raising the floor. Retrieved December 23, 2014, from http://gpii.net/
   Google Scholar
• Gregor, P. & Dickinson, A. (2007). Cognitive difficulties and access to information systems: an interaction design perspective. Universal Access in the Information Society 5(4), 393–400.
   Google Scholar
• Hawthorn, D. (2003). How universal is good design for older users? In Proceedings of the 2003 Conference on Universal Usability (pp. 38–45). New York, NY: ACM.
   Google Scholar
• Hoehl, J., & Vanderheiden, G. (2011). From clouds to rain: Consolidating and simplifying online communication services with easy one communicator. In C. Stephanidis (Ed.), Universal access in human–computer interaction. Applications and services (Vol. 6768, pp. 52–61). Berlin, Heidelberg: Springer-Verlag.
   Google Scholar
• Hollinworth, N., & Hwang, F. (2011). Investigating familiar interactions to help older adults learn computer applications more easily. In Proceedings of the 25th BCS Conference on Human–Computer Interaction (pp. 473–478). Swinton, UK: British Computer Society.
   Google Scholar
• Isherwood, S. (2009). Graphics and semantics: The relationship between what is seen and what is meant in icon design. In Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics (pp. 197–205). Berlin, Heidelberg: Springer-Verlag.
   Google Scholar
• Isherwood, S. J., McDougall, S. J. P., & Curry, M. B. (2007). Icon identification in context: The changing role of icon characteristics with user experience. Human Factors: the Journal of the Human Factors and Ergonomics Society, 49 (3), 465–476.
   PubMed Web of Science ®Google Scholar
• Jastrzembski, T. S., & Charness, V. (2007). The model human processor and the older adult: Parameter estimation and validation within a mobile phone task. Journal of Experimental Psychology: Applied, 13 (4), 224–248.
   PubMed Web of Science ®Google Scholar
• Johnson-Laird, P. N. (1983). Mental models: Towards a cognitive science of language, inference, and consciousness. Cambridge, MA.: Harvard University Press.
   Google Scholar
• Kang, N. E., & Yoon, W. C. (2008). Age- and experience-related user behavior differences in the use of complicated electronic devices. International Journal of Human–Computer Studies, 66 (6), 425–437.
   Web of Science ®Google Scholar
• Kim, Y. S. (2008). Reviewing and critiquing computer learning and usage among older adults. Educational Gerontology, 34 (8), 709–735.
   Web of Science ®Google Scholar
• Kurniawan, S. (2008). Older people and mobile phones: A multi-method investigation. International Journal of Human–Computer Studies, 66 (12), 889–901.
   Web of Science ®Google Scholar
• Lanzolla, V. (2004). The usability of personal digital assistants as prospective memory aids for medication adherence in younger and older adults ( Unpublished doctorial dissertation). North Carolina State University, Raleigh, NC.
   Google Scholar
• Lee, D., Moon, J., & Kim, Y. (2007). The effect of simplicity and perceived control on perceived ease of use. In Proceeding of Americas Conference on Information Systems (pp. 1–17). Retrieved from http://aisel.aisnet.org/amcis2007/71
   Google Scholar
• Leonardi, C., Albertini, A., Pianesi, F., & Zancanaro, M. (2010). An exploratory study of a touch-based gestural interface for elderly. In Proceedings of the 6th Nordic Conference on Human–Computer Interaction: Extending Boundaries (pp. 845–850). New York, NY, USA: ACM.
   Google Scholar
• Leung, R. (2009). Improving the learnability of mobile device applications for older adults. Paper presented at CHI ‘09 extended abstracts on human factors in computing systems (pp. 3125–3128). New York, NY: ACM.
   Google Scholar
• Leung, R., McGrenere, J., & Graf, P. (2011). Age-related differences in the initial usability of mobile device icons. Behaviour & Information Technology, 30 (5), 629–642.
   Web of Science ®Google Scholar
• Lloyd-Jones, T. J., & Luckhurst, L. (2002). Effects of plane rotation, task, and complexity on recognition of familiar and chimeric objects. Memory & Cognition, 30 (4), 499–510.
   PubMed Web of Science ®Google Scholar
• Massimi, M., Baecker, R. M., & Wu, M. (2007). Using participatory activities with seniors to critique, build, and evaluate mobile phones. In Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 155–162). New York, NY: ACM.
   Google Scholar
• Mayhorn, C. B., Lanzolla, V. R., Wogalter, M. S., & Watson, A. M. (2005). Personal digital assistants (PDAs) as medication reminding tools: Exploring age differences in usability. Gerontechnology, 4 (3), 128–140.
   Google Scholar
• McDougall, S. J., Curry, M. B., & de Bruijn, O. (1998). Understanding what makes icons effective: How subjective ratings can inform design. In M. Hanson (Ed.), Contemporary ergonomics (pp. 285–289). Boca Raton, FL: CRC Press.
   Google Scholar
• McDougall, S. J., Curry, M. B., & de Bruijn, O. (1999). Measuring symbol and icon characteristics: Norms for concreteness, complexity, meaningfulness, familiarity, and semantic distance for 239 symbols. Behavior Research Methods, Instruments, & Computers, 31 (3), 487–519.
   PubMedGoogle Scholar
• McDougall, S. J., de Bruijn, O., & Curry, M. B. (2000). Exploring the effects of icon characteristics on user performance: The role of icon concreteness, complexity, and distinctiveness. Journal of Experimental Psychology: Applied, 6 (4), 291.
   PubMed Web of Science ®Google Scholar
• McDougall, S. J., & Isherwood, S. (2009). What’s in a name? The role of graphics, functions, and their interrelationships in icon identification. Behavior Research Methods, 41 (2), 325–336.
   PubMed Web of Science ®Google Scholar
• Mertens, A., Koch-Körfges, D., & Schlick, C. M. (2011). Designing a user study to evaluate the feasibility of icons for the elderly. In M. Eibl (Ed.), Mensch & computer (pp. 79–83). Munich, Germany: Oldenbourg Verlag.
   Google Scholar
• Moyes, J., & Jordan, P. W. (1993). Icon design and its effect on guessability, learnability, and experienced user performance. People and Computers, 8, 49–60.
   Google Scholar
• Neale, D. C., & Carroll, J. M. (1997). The role of metaphors in user interface design. In M. Helander, T. K. Landauer, & P. Prabhu (Eds.), Handbook of human–computer interaction (2nd ed., pp. 441–462). Amsterdam, The Netherlands: Elsevier Science.
   Google Scholar
• Norman, D. A. (1988). The design of everyday things. New York, NY: Doubleday.
   Google Scholar
• Paivio, A., Yuille, J. C., & Madigan, S. A. (1968). Concreteness, imagery, and meaningfulness: Values for 925 nouns. Journal of Experimental Psychology, 76 (1), 1–25.
   PubMedGoogle Scholar
• Pirhonen, A. (2003). Metaphors in design - out of date. In J. Jacko & C. Stephanidis (Eds.), Human–computer interaction: Theory and practice (Part I). Proceedings of HCI International 2003 (pp. 208–212). Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Plocher, T., Rau, P. L. P., & Choong, Y. Y. (2012). Cross-cultural design. In G. Salvendy (Ed.), Handbook of human factors and ergonomics (4th ed., pp. 162–191). New York, NY: John Wiley & Sons, Inc.
   Google Scholar
• Prior, S., Arnott, J., & Dickinson, A. (2008). Interface metaphor design and instant messaging for older adults. Paper presented at CHI ‘08 extended abstracts on human factors in computing systems (pp. 3747–3752). New York, NY: ACM.
   Google Scholar
• Rau, P. L. P., & Hsu, J. W. (2005). Interaction devices and web design for novice older users. Educational Gerontology, 31 (1), 19–40.
   Web of Science ®Google Scholar
• Rogers, Y. (1986). Evaluating the meaningfulness of icon sets to represent command operations. In Proceedings of the Second Conference of the British Computer Society, Human Computer Interaction Specialist Group on People and Computers: Designing for Usability (pp. 586–603). New York, NY: Cambridge University Press.
   Google Scholar
• Rogers, Y., & Oborne, D. J. (1987). Pictorial communication of abstract verbs in relation to human–computer interaction. British Journal of Psychology, 78 (1), 99–112.
   Google Scholar
• Rosenholtz, R., Li, Y., Mansfield, J., & Jin, Z. (2005). Feature congestion: A measure of display clutter. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 761–770). New York, NY: ACM.
   Google Scholar
• SAP. (2004). Simplifying for Usability. Retrieved from https://experience.sap.com/files/guidelines/simplification/
   Google Scholar
• Sauro, J. (2011). A practical guide to the system usability scale: Background, benchmarks, & best practices. Denver, CO: CreateSpace.
   Google Scholar
• Sayago, S., & Blat, J. (2010). Telling the story of older people e-mailing: An ethnographical study. International Journal of Human–Computer Studies, 68 (1–2), 105–120.
   Web of Science ®Google Scholar
• Schröder, S., & Ziefle, M. (2008). Effects of icon concreteness and complexity on semantic transparency: Younger vs. older users. In K. Miesenberger, J. Klaus, W. Zagler, & A. Karshmer (Eds.), Computers helping people with special needs (Vol. 5105, pp. 90–97). Berlin, Germany: Springer.
   Google Scholar
• Sheskin, D. J. (2007). Handbook of parametric and non-parametric statistical procedures (4th ed.). Boca Raton, FL: CRC Press.
   Google Scholar
• Spreen, O., & Schulz, R. W. (1966). Parameters of abstraction, meaningfulness, and pronunciability for 329 nouns. Journal of Verbal Learning and Verbal Behavior, 5 (5), 459–468.
   Google Scholar
• Stammers, R. B., & Hoffman, J. (1991). Transfer between icon sets and ratings of icon concreteness and appropriateness. Paper presented at Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 35, No. 5, pp. 354–358). New York, NY: SAGE Publications.
   Google Scholar
• Stotts, D. B. (1998). The usefulness of icons on the computer interface: Effect of graphical abstraction and functional representation on experienced and novice users. Paper presented at Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 42, No. 5, pp. 453–457). New York, NY: SAGE Publications.
   Google Scholar
• Tuomainen, K., & Haapanen, S. (2003). Needs of the active elderly for mobile phones. In C. Stephanidis (Ed.), Universal access in HCI: Inclusive design in the information society (Vol. 4, pp. 494–498). Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Wagner, J., Vanderheiden, G. C., & Sesto, M. E. (2006). Improving the usability of a mainstream cell phone for individuals with low vision. Journal of Visual Impairment & Blindness, 100 (11), 687–692.
   Web of Science ®Google Scholar
• Wang, L., Rau, P. L. P., & Salvendy, G. (2011). The elderly’ acceptance of information technology. Educational Gerontology, 37 (12), 1081–1099.
   Web of Science ®Google Scholar
• Xie, B. (2007). Information technology education for older adults as a continuing peer-learning process: A Chinese Case Study. Educational Gerontology, 33 (5), 429–450.
   Web of Science ®Google Scholar
• Zhou, J., Rau, P. L. P., & Salvendy, G. (2012). Use and design of handheld computers for older adults: A review and appraisal. International Journal of Human–Computer Interaction, 28 (12), 799–826.
   Web of Science ®Google Scholar
• Zhou, J., Rau, P. L. P., & Salvendy, G. (2013). Older Adults’ use of smart phones: An investigation of the factors influencing the acceptance of new functions. Behaviour & Information Technology, 33 (6), 552–560.
   Web of Science ®Google Scholar
• Zhou, J., Rau, P. L. P., & Salvendy, G. (2014). Older adults’ text entry on smart phones and tablets: Investigating effects of display size and input method on acceptance and performance. International Journal of Human–Computer Interaction, 30 (9), 727–739.
   Web of Science ®Google Scholar
• Ziefle, M., & Bay, S. (2004). Mental models of a cellular phone menu. Comparing older and younger novice users. Paper presented Mobile Human–Computer Interaction – MobileHCI 2004, Glasgow, UK, September 13–16. pp. 571–572.
   Google Scholar