Aware technologies for aging in place: understanding user needs and attitudes
Abstract
Although computing technology has made inroads into home environments, it has yet to instigate a major shift in the design of homes or home activities. The convergence of television and the Internet is lagging behind expectations, and the combination of desktop computers, entertainment consoles, televisions, and cell phones has yet to form a cohesive whole. One possible reason for this lag in progress is that these technologies don't address a coherent need -they merely augment current entertainment and communication practices. We base our research on the premise that the next revolution of technology in the home will arise from devices that help older adults maintain their independence. A coherent suite of technologies will eventually let older adults be proactive about their own healthcare, will aid them in daily activities and help them learn new skills, will create new avenues for social communication, and will help ensure their safety and well being. The Aware Home Research initiative hopes to help older adults "age in place" by creating devices that can assist with daily tasks, offer memory support, and monitor daily activities. However, understanding user needs and attitudes is essential to deploying this technology.
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Task simplification through cognitive supports holds promise to facilitate older adults' daily living activities involving multiple components.
“Task simplifi cation through cognitive supports holds promise to facilitate older adults' daily living activities involving multiple components ( Mynatt, Melenhorst, Fisk, & Rogers, 2004 ;Rogers & Fisk, 2001 ).”
From Toward a Psychological Science of Advanced Technology Design for Older Adults (2010) · cites this paper as Mynatt, Melenhorst, Fisk, & Rogers, 2004
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Röcker, C., Ziefle, M., Holzinger, A., & Roecker, Z. (2011) · Cited by 14 · see citing works
Rethinking technology development for older adults
Wilkowska, W., Brauner, P., & Ziefle, M. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811272-4.00001-4 · Cited by 14 · see citing works
Barriers and facilitators of older adults’ usage of mobility devices: a scoping review
Lee, D., & Tak, S. H. (2022) · Educational Gerontology · doi:10.1080/03601277.2022.2084309 · Cited by 13 · see citing works
ICT Interface Design for Ageing People and People with Dementia
Wallace, J. G., Mulvenna, M. D., Martin, S., Stephens, S., & Burns, W. P. (2010) · Advanced information and knowledge processing · doi:10.1007/978-1-84882-551-2_11 · Cited by 13 · see citing works
Oron-Gilad, T., & Hancock, P. A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801851-4.00007-0 · Cited by 13 · see citing works
LIFELONG INTERACTIONSSupporting healthy aging with new technologies
Jones, B. D., Rébola, C. B., & Rogers, W. A. (2009) · interactions · doi:10.1145/1551986.1551996 · Cited by 13 · see citing works
Self-citationCharness, N. H., & Jastrzembski, T. S. (2008) · Springer eBooks · doi:10.1007/978-1-84800-385-9_1 · Cited by 13 · see citing works
Gutiérrez, F. J., & Ochoa, S. F. (2020) · Personal and Ubiquitous Computing · doi:10.1007/s00779-020-01404-4 · Cited by 12 · see citing works
Gadeo-Martos, M. A., Fernández-Prieto, J. A., Canada-Bago, J., & Velasco, J. R. (2011) · Sensors · doi:10.3390/s111009136 · Cited by 12 · see citing works
Intentions to Use Smart Textiles in AAL Home Environments: Comparing Younger and Older Adults
Ziefle, M., Brauner, P., & van Heek, J. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-39943-0_26 · Cited by 12 · see citing works
Personal Dream Informatics: A Self-Information Systems Model of Dream Engagement
Hoefer, M. J. D., Schumacher, B. E., & Voida, S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517669 · Cited by 11 · see citing works
- Authors
- Mynatt, E. D., Melenhorst, A.-S., Fisk, A.-D., & Rogers, W. A.
- Affiliations
- Georgia Institute of Technology (US)
- Venue
- IEEE Pervasive Computing
- Published
- 2004-04
- Volume
- 3
- Issue
- 2
- Pages
- 36-41
- ISSN
- 1536-1268 (ISSN-L)
- OpenAlex
- W2168804114
- Cited by
- 234
- References
- 16
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 7 · 2023: 6 · 2022: 10 · 2021: 5 · 2020: 6 · 2019: 10 · 2018: 11 · 2017: 14 · 2016: 12 · 2015: 7 · 2014: 10 · 2013: 13 · 2012: 23
- FWCI
- 19.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Pervasive Computing (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- aging in place, older adults, home computing, user needs, user attitudes, assistive technology, memory support, activity monitoring, independent living, social communication
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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.
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