Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
80 tokens/sec
GPT-4o
59 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
7 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

GerontoVis: Data Visualization at the Confluence of Aging (2403.13173v1)

Published 19 Mar 2024 in cs.HC

Abstract: Despite the explosive growth of the aging population worldwide, older adults have been largely overlooked by visualization research. This paper is a critical reflection on the underrepresentation of older adults in visualization research. We discuss why investigating visualization at the intersection of aging matters, why older adults may have been omitted from sample populations in visualization research, how aging may affect visualization use, and how this differs from traditional accessibility research. To encourage further discussion and novel scholarship in this area, we introduce GerontoVis, a term which encapsulates research and practice of data visualization design that primarily focuses on older adults. By introducing this new subfield of visualization research, we hope to shine a spotlight on this growing user population and stimulate innovation toward the development of aging-aware visualization tools. We offer a birds-eye view of the GerontoVis landscape, explore some of its unique challenges, and identify promising areas for future research.

PDF HTML Abstract
Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Bookmark Chat Bubble Oval Streamline Icon: https://streamlinehq.com Chat (Pro)
Definition Search Book Streamline Icon: https://streamlinehq.com
References (139)
  1. Ageing and health. https://www.who.int/news-room/fact-sheets/detail/ageing-and-health. (Accessed on 03/30/2023).
  2. Visualization of Cardiac Implantable Electronic Device Data for Older Adults Using Participatory Design. Applied Clinical Informatics 10, 4 (Sept. 2019), 707–718.
  3. Passive sensor technology interface to assess elder activity in independent living. Nurs Res 60, 5 (2011), 318–325.
  4. Baskinger M.: Experientializing home appliances to empower the aging population for autonomous living. In Proceedings of the 2007 conference on Designing for User eXperiences (2007), pp. 2–20.
  5. Visualization approaches to support healthy aging: a systematic review. Journal of innovation in health informatics 23, 3 (2016), 860.
  6. Engaging older adults in the visualization of sensor data facilitated by an open platform for connected devices. Technology and Health Care 24 (2016), 541–550. 4. URL: https://doi.org/10.3233/THC-161150.
  7. BELIV2022. https://beliv-workshop.github.io/about.html. (Accessed on 03/23/2023).
  8. Bergman M. E., Jean V. A.: Where have all the “workers” gone? A critical analysis of the unrepresentativeness of our samples relative to the labor market in the industrial–organizational psychology literature. Industrial and Organizational Psychology 9, 1 (2016), 84–113.
  9. Age-related differences in visual search in dynamic displays. Psychology and Aging 22, 1 (2007), 67.
  10. Who Do We Mean When We Talk About Visualization Novices?
  11. Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study. The Lancet global health 9, 2 (2021), e130–e143.
  12. The 5Ts: preliminary development of a framework to support inclusion of older adults in research. Journal of the American Geriatrics Society 67, 2 (2019), 342–346.
  13. Cameron P.: Age parameters of young adult, middle-aged, old, and aged. Journal of Gerontology 24, 2 (1969), 201–202.
  14. Designing for older adults: Principles and creative human factors approaches. CRC press, 2019.
  15. Inclusive design: Design for the whole population.
  16. Indicator Definitions - Older Adults, Jan 2015. URL: https://www.cdc.gov/cdi/definitions/older-adults.html.
  17. Understanding how to design health data visualizations for chilean older adults on mobile devices. In Proceedings of the 2023 ACM Designing Interactive Systems Conference (2023), pp. 1309–1324.
  18. Enabling Older Adults’ Health Self-Management through Self-Report and Visualization—A Systematic Literature Review. Sensors 20, 15 (2020). URL: https://www.mdpi.com/1424-8220/20/15/4348.
  19. Coleman R., Lebbon C.: Inclusive design. Helen Hamlyn Research Centre, Royal College of Art (1999).
  20. Carmeli E., Liebermann D. G.: The function of the aging hand. Geriatric rehabilitation manual (2007).
  21. Chung S. T., Mansfield J. S.: Contrast polarity differences reduce crowding but do not benefit reading performance in peripheral vision. Vision research 49, 23 (2009), 2782–2789.
  22. The aging hand. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 58, 2 (2003), M146–M152.
  23. Methods for human–computer interaction research with older people. Behaviour & Information Technology 26, 4 (2007), 343–352.
  24. Older adults’ attitudes to self-management of health and wellness through smart home data. In 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) (2015), pp. 129–136.
  25. The risks of ranking: Revisiting graphical perception to model individual differences in visualization performance. IEEE Transactions on Visualization and Computer Graphics (2022).
  26. Drevenstedt J.: Perceptions of onsets of young adulthood, middle age, and old age. Journal of Gerontology 31, 1 (1976), 53–57.
  27. Elmqvist N.: Visualization for the Blind. Interactions 30, 1 (2023), 52–56.
  28. Building Bridges: HCI, visualization, and non-formal modeling. Springer, 2014.
  29. Fabiani M.: It was the best of times, it was the worst of times: A psychophysiologist’s view of cognitive aging. Psychophysiology 49, 3 (2012), 283–304. URL: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1469-8986.2011.01331.x, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1469-8986.2011.01331.x.
  30. A mobile health intervention to reduce pain and improve health (MORPH) in older adults with obesity: protocol for the MORPH trial. JMIR research protocols 7, 5 (2018), e128.
  31. Designing for older adults. CRC press, 2004.
  32. Designing for older adults: Principles and creative human factors approaches. CRC press, 2020.
  33. Prevalence of age-related macular degeneration in the United States. Arch ophthalmol 122, 4 (2004), 564–572.
  34. Recruitment and retention of older people in clinical research: a systematic literature review. Journal of the American Geriatrics Society 68, 12 (2020), 2955–2963.
  35. The Science of Visual Data Communication: What Works. Psychological Science in the Public Interest 22, 3 (2021), 110–161. PMID: 34907835. URL: https://doi.org/10.1177/15291006211051956, arXiv:https://doi.org/10.1177/15291006211051956.
  36. The Accessibility of Data Visualizations on the Web for Screen Reader Users: Practices and Experiences During COVID-19. ACM Trans. Access. Comput. (aug 2022). Just Accepted. URL: https://doi.org/10.1145/3557899.
  37. Understanding how older adults comprehend covid-19 interactive visualizations via think-aloud protocol. International Journal of Human–Computer Interaction 39, 8 (2023), 1626–1642.
  38. Gaver W. W.: Auditory icons: Using sound in computer interfaces. ACM SIGCHI Bulletin 19, 1 (1987), 74.
  39. Using icon arrays to communicate medical risks: overcoming low numeracy. Health Psychology 28, 2 (2009), 210.
  40. Gubala C., Melonçon L.: Data Visualizations: An Integrative Literature Review of Empirical Studies Across Disciplines. In 2022 IEEE International Professional Communication Conference (ProComm) (2022), IEEE, pp. 112–119.
  41. Gregor P., Newell A. F.: Designing for dynamic diversity: making accessible interfaces for older people. In Proceedings of the 2001 EC/NSF workshop on Universal accessibility of ubiquitous computing: providing for the elderly (2001), pp. 90–92.
  42. Using visual aids to improve communication of risks about health: a review. The Scientific World Journal 2012 (2012).
  43. Can a free wearable activity tracker change behavior? The impact of trackers on adults in a physician-led wellness group. JMIR Research Protocols 5, 4 (2016), e6534.
  44. Older adults’ perceptions of technologies aimed at falls prevention, detection or monitoring: A systematic review. International Journal of Medical Informatics 83, 6 (2014), 416–426. URL: https://www.sciencedirect.com/science/article/pii/S1386505614000586.
  45. The sonification handbook, vol. 1. Logos Verlag Berlin, 2011.
  46. PROACT: iterative design of a patient-centered visualization for effective prostate cancer health risk communication. IEEE transactions on visualization and computer graphics 23, 1 (2016), 601–610.
  47. Humphrey D. G., Kramer A. F.: Age differences in visual search for feature, conjunction, and triple-conjunction targets. Psychology and aging 12, 4 (1997), 704.
  48. Perspectives on wellness self-monitoring tools for older adults. Int J Med Inform 82, 11 (Sept. 2013), 1092–1103.
  49. Hori S.: Beginning of old age in Japan and age norms in adulthood. Educational Gerontology: An International Quarterly 20, 5 (1994), 439–451.
  50. The role of eye movements, attention, and hand movements on age-related differences in pegboard tests. Journal of Neurophysiology 126, 5 (2021), 1710–1722.
  51. Color palettes. (Accessed on 02/17/2022). URL: https://charts.carbondesignsystem.com/.
  52. Horizontal saccade dynamics across the human life span. Investigative ophthalmology & visual science 47, 6 (2006), 2478–2484.
  53. Jacelon C. S.: Older adults’ participation in research. Nurse researcher 14, 4 (2007).
  54. Johnson J., Finn K.: Designing user interfaces for an aging population: Towards universal design. Morgan Kaufmann, 2017.
  55. Visualizations for Self-Reflection on Mouse Pointer Performance for Older Adults. In Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (New York, NY, USA, 2012), ASSETS ’12, Association for Computing Machinery, p. 287–288. URL: https://doi.org/10.1145/2384916.2384996.
  56. Modifiable lifestyle factors and cognitive function in older people: a cross-sectional observational study. Frontiers in neurology 10 (2019), 401.
  57. The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea. Tourism Management 32, 2 (2011), 256–265.
  58. Social technology: An interdisciplinary approach to improving care for older adults. Frontiers in Public Health 9 (2021), 729149.
  59. Age-related kinematic differences as influenced by task difficulty, target size, and movement amplitude. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 57, 1 (2002), P54–P64.
  60. Elementary graphical perception for older adults: a comparison with the general population. Perception 43, 11 (2014), 1249–1260.
  61. Lim W. M., Bowman C.: How to establish practical contributions and convey practical implications? guidelines on locating practice gaps and making recommendations for practice, 2023.
  62. Understanding Older Adult Use of Data Visualizations as a Resource for Maintaining Health and Wellness. Journal of Applied Gerontology 37, 7 (2018), 922–939. PMID: 27401438. URL: https://doi.org/10.1177/0733464816658751, arXiv:https://doi.org/10.1177/0733464816658751.
  63. Levy B.: Stereotype embodiment: A psychosocial approach to aging. Current directions in psychological science 18, 6 (2009), 332–336.
  64. Conceptual and methodological issues in research on age and aging. JAIDS Journal of Acquired Immune Deficiency Syndromes 33 (2003), S206–S217.
  65. Vlat: Development of a visualization literacy assessment test. IEEE transactions on visualization and computer graphics 23, 1 (2016), 551–560.
  66. Sociotechnical considerations for accessible visualization design. In 2019 IEEE Visualization Conference (VIS) (2019), IEEE, pp. 16–20.
  67. An exploratory study of interactivity in visualization tools:‘flow’of interaction. Journal of Interactive Learning Research 21, 1 (2010), 5–45.
  68. Design of smart home sensor visualizations for older adults. Technology and Health Care 22 (2014), 657–666. 4. URL: https://doi.org/10.3233/THC-140839.
  69. Embracing Disciplinary Diversity in Visualization. IEEE Computer Graphics and Applications 42, 6 (2022), 64–71.
  70. An evaluation of wellness assessment visualizations for older adults. Telemed J E Health 21, 1 (Jan 2015), 9–15.
  71. A Comparison of Health Visualization Evaluation Techniques with Older Adults. IEEE Computer Graphics and Applications 36, 4 (2016), 67–77.
  72. Integrated data visualisation: an approach to capture older adults’ wellness. International Journal of Electronic Healthcare 7, 2 (2012), 89–104.
  73. Inclusive data visualization for people with disabilities: a call to action. Interactions 28, 3 (2021), 47–51.
  74. Inclusive Data Visualization for People with Disabilities: A Call to Action. Interactions 28, 3 (apr 2021), 47–51. URL: https://doi.org/10.1145/3457875.
  75. Recruitment and Retention of Older Adults in Aging Research: (See editorial comments by Dr. Stephanie Studenski, pp 2351–2352). Journal of the American Geriatrics Society 56, 12 (2008), 2340–2348.
  76. Older adults’ experiences with using wearable devices: Qualitative systematic review and meta-synthesis. JMIR Mhealth Uhealth 9, 6 (Jun 2021), e23832. URL: https://doi.org/10.2196/23832.
  77. Moss A.: Demographics of People on Amazon Mechanical Turk — cloudresearch.com. https://www.cloudresearch.com/resources/blog/who-uses-amazon-mturk-2020-demographics/, 2020. [Accessed 16-Mar-2023].
  78. McLaughlin A., Pak R.: Designing displays for older adults. CRC press, 2020.
  79. Mobile Health Apps: Improving Usability for Older Adult Users. Ergonomics in Design 27, 4 (2019), 4–13. URL: https://doi.org/10.1177/1064804619840731, arXiv:https://doi.org/10.1177/1064804619840731.
  80. Considering older adults’ perceptual capabilities in the design process.
  81. Inclusion of older adults in the research and design of digital technology. International journal of environmental research and public health 16, 19 (2019), 3718.
  82. Madden D. J., Whiting W. L.: Age-related changes in visual attention. Recent advances in psychology and aging (2004), 41–88.
  83. Meloncon L., Warner E.: Data visualizations: A literature review and opportunities for technical and professional communication. In 2017 IEEE International Professional Communication Conference (ProComm) (2017), IEEE, pp. 1–9.
  84. Age-related changes in working memory and the ability to ignore distraction. Proceedings of the National Academy of Sciences 112, 20 (2015), 6515–6518.
  85. National Institutes of Health: NIH policy and guidelines on the inclusion of individuals across the lifespan as participants in research involving human subjects, 2017.
  86. Nelson T. D.: Ageism: Stereotyping and prejudice against older persons. MIT press, 2004.
  87. Norman J. F., Higginbotham A. J.: Aging and the perception of global structure. Plos one 15, 5 (2020), e0233786.
  88. Design recommendations for tv user interfaces for older adults: findings from the eCAALYX project. In Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility (2012), pp. 41–48.
  89. Number of people 75 and older in the labor force is expected to grow 96.5 percent by 2030 : The Economics Daily: U.S. Bureau of Labor Statistics. https://www.bls.gov/opub/ted/2021/number-of-people-75-and-older-in-the-labor-force-is-expected-to-grow-96-5-percent-by-2030.htm. (Accessed on 03/19/2023).
  90. Effects of information visualization on older adults’ decision-making performance in a medicare plan selection task: a comparative usability study. JMIR human factors 3, 1 (2016), e16.
  91. What eye-tracking methods can reveal about the role of information format in decision-aid processing: an exploratory study. Patient Education and Counseling 102, 11 (2019), 1977–1984. URL: https://www.sciencedirect.com/science/article/pii/S0738399118307821.
  92. Petrie H.: Talking ‘bout my generation… or not? the digital technology life experiences of older people. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (2023), pp. 1–9.
  93. Pak R., McLaughlin A.: Designing Displays for Older Adults.
  94. Positive display polarity is advantageous for both younger and older adults. Ergonomics 56, 7 (2013), 1116–1124.
  95. Factors influencing acceptance of technology for aging in place: a systematic review. International journal of medical informatics 83, 4 (2014), 235–248.
  96. Quine S., Browning C.: Methodological and ethical issues in conducting research with older people. Researching the margins: Strategies for ethical and rigorous research with marginalised communities (2007), 130–142.
  97. Quinn K.: Methodological Considerations in Surveys of Older Adults: Technology Matters. International Journal of Emerging Technologies & Society 8, 2 (2010).
  98. Communicating global cardiovascular risk: Are icon arrays better than numerical estimates in improving understanding, recall and perception of risk? Patient education and counseling 93, 3 (2013), 394–402.
  99. Ray M.: Redressing the balance? The participation of older people in research. In Critical perspectives on ageing societies. Policy Press, 2007, pp. 73–88.
  100. Assessing older adults’ perceptions of sensor data and designing visual displays for ambient environments. An exploratory study. Methods of Information in Medicine 53, 3 (Apr. 2014), 152–159.
  101. Rowe J. W., Kahn R. L.: Successful aging 2.0: Conceptual expansions for the 21st century. The Journals of Gerontology: Series B 70, 4 (2015), 593–596.
  102. Rubin G. S., Legge G. E.: Psychophysics of reading. VI—The role of contrast in low vision. Vision research 29, 1 (1989), 79–91.
  103. Comparing information needs of health care providers and older adults: findings from a wellness study. Stud Health Technol Inform 192 (2013), 18–22.
  104. Salthouse T.: Consequences of age-related cognitive declines. Annual review of psychology 63 (2012), 201–226.
  105. Salthouse T. A., Babcock R. L.: Decomposing adult age differences in working memory. Developmental psychology 27, 5 (1991), 763.
  106. Stößel C., Blessing L.: Mobile device interaction gestures for older users. In Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries (2010), pp. 793–796.
  107. Sustained attention in the elderly: What do we know and what does it tell us about cognitive aging? Ageing research reviews 12, 2 (2013), 459–468.
  108. Sears D. O.: College sophomores in the laboratory: Influences of a narrow data base on social psychology’s view of human nature. Journal of personality and social psychology 51, 3 (1986), 515.
  109. Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries. The European Journal of Public Health 23, 1 (2013), 146–152.
  110. Scientometric analysis of interdisciplinary collaboration and gender trends in 30 years of ieee vis publications. IEEE Transactions on Visualization and Computer Graphics (2022).
  111. Shneiderman B.: The eyes have it: A task by data type taxonomy for information visualizations. In The craft of information visualization. Elsevier, 2003, pp. 364–371.
  112. Visualization by demonstration: An interaction paradigm for visual data exploration. IEEE transactions on visualization and computer graphics 23, 1 (2016), 331–340.
  113. Steinfeld E., Maisel J.: Universal design: Creating inclusive environments. John Wiley & Sons, 2012.
  114. Getting meaningful informed consent from older adults: a structured literature review of empirical research. Journal of the American Geriatrics Society 46, 4 (1998), 517–524.
  115. Solen M.: Scoping the Future of Visualization Literacy: A Review.
  116. Spehar B.: The role of contrast polarity in perceptual closure. Vision Research 42, 3 (2002), 343–350.
  117. Srinivasan A., Stasko J.: Orko: Facilitating multimodal interaction for visual exploration and analysis of networks. IEEE transactions on visualization and computer graphics 24, 1 (2017), 511–521.
  118. Implementing recommendations from Web Accessibility Guidelines: Would they also provide benefits to nondisabled users. Human factors 58, 4 (2016), 611–629.
  119. Sarvghad A., Tory M.: Exploiting analysis history to support collaborative data analysis. In Graphics Interface (2015), pp. 123–130.
  120. Designing visualization tools to support older adults care process. In Proceedings of the Sixteenth Mexican International Conference on Computer Science (2016), pp. 1–4.
  121. Systematic review of barriers to the recruitment of older patients with cancer onto clinical trials. Journal of clinical oncology 23, 13 (2005), 3112–3124.
  122. Tufte E. R.: The visual display of quantitative information, vol. 2. Graphics press Cheshire, CT, 2001.
  123. Presenting self-monitoring test results for consumers: the effects of graphical formats and age. Journal of the American Medical Informatics Association 25, 8 (2018), 1036–1046.
  124. Unsworth N., Engle R. W.: The nature of individual differences in working memory capacity: active maintenance in primary memory and controlled search from secondary memory. Psychological review 114, 1 (2007), 104.
  125. UNCHR Emergency (U.E) Handbook: Older Persons, May 2020. URL: https://emergency.unhcr.org/protection/persons-risk/older-persons.
  126. Population Division – World Population Prospects. https://population.un.org/wpp/, 2022.
  127. Verhaeghen P., Salthouse T. A.: Meta-analyses of age–cognition relations in adulthood: Estimates of linear and nonlinear age effects and structural models. Psychological bulletin 122, 3 (1997), 231.
  128. Preference for and understanding of graphs presenting health risk information. The role of age, health literacy, numeracy and graph literacy. Patient Education and Counseling 104, 1 (2021), 109–117.
  129. Considerations in designing human-computer interfaces for elderly people. In 2013 13th International Conference on Quality Software (2013), IEEE, pp. 372–377.
  130. Technology to Support Aging in Place: Older Adults’ Perspectives. Healthcare 7, 2 (2019). URL: https://www.mdpi.com/2227-9032/7/2/60.
  131. Web Content Accessibility Guidelines (WCAG) 2.1, April 2018. URL: https://www.w3.org/TR/WCAG21/.
  132. Computer use by older adults: A multi-disciplinary review. Computers in human behavior 26, 5 (2010), 870–882.
  133. Evaluating swabbing: a touchscreen input method for elderly users with tremor. In Proceedings of the SIGCHI conference on human factors in computing systems (2011), pp. 623–626.
  134. Whitlock L. A., McLaughlin A. C.: Identifying Usability Problems of Blood Glucose Tracking Apps for Older Adult Users. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 56, 1 (2012), 115–119. URL: https://doi.org/10.1177/1071181312561001, arXiv:https://doi.org/10.1177/1071181312561001.
  135. World Population Prospects - Population Division - United Nations. https://population.un.org/wpp/Graphs/DemographicProfiles/Line/900. (Accessed on 03/16/2023).
  136. Understanding Data Accessibility for People with Intellectual and Developmental Disabilities. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (New York, NY, USA, 2021), CHI ’21, Association for Computing Machinery. URL: https://doi.org/10.1145/3411764.3445743.
  137. LAB-IN-A-BOX: semi-automatic tracking of activity in the medical office. Personal and Ubiquitous Computing 19 (2015), 317–334.
  138. Whitbourne S. K., Whitbourne S. B.: Adult development and aging: Biopsychosocial perspectives. John Wiley & Sons, 2010.
  139. How visualization layout relates to locus of control and other personality factors. IEEE transactions on visualization and computer graphics 19, 7 (2012), 1109–1121.
User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (3)
  1. Zack While (6 papers)
  2. R. Jordan Crouser (6 papers)
  3. Ali Sarvghad (10 papers)
Citations (4)
View on Semantic Scholar
X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets