TY - GEN
T1 - An Entanglement Perspective on How Older Adults Use and Design Emerging Ubiquitous Technologies
AU - Pradhan, Alisha
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/10/23
Y1 - 2021/10/23
N2 - Over the last decade, CSCW and HCI researchers have adopted different user-centered approaches to include older adults' perspectives in designing the next generation of emerging technologies such as virtual reality, Internet of Things technologies, and conversational voice-based AI assistants. However, a body of emerging research is showing what older adults share in such user-centered design activities might not reflect their actual needs or preference. Hence, for my dissertation I seek to go beyond what older adults simply say or do in user-centered design activities and understand the larger socio-material configurations in which older individuals and their technologies participate. To do this, I use the Entanglement HCI framework to analyze data from interviews and co-design activities with older adults focused on the topic of use and design of conversational AI assistants. In doing so, my dissertation will provide an empirical understanding of a) the different actors (human and non-human) that configure older adults' use and perception of emerging technologies, b) identify implications for designing conversation voice technologies for older adults, and c) provide a preliminary understanding of what Entanglement HCI has to offer for understanding some challenging phenomena of Aging in CSCW and HCI, and thereby provide new perspectives on how we could include older adults in designing the next generation of technologies.
AB - Over the last decade, CSCW and HCI researchers have adopted different user-centered approaches to include older adults' perspectives in designing the next generation of emerging technologies such as virtual reality, Internet of Things technologies, and conversational voice-based AI assistants. However, a body of emerging research is showing what older adults share in such user-centered design activities might not reflect their actual needs or preference. Hence, for my dissertation I seek to go beyond what older adults simply say or do in user-centered design activities and understand the larger socio-material configurations in which older individuals and their technologies participate. To do this, I use the Entanglement HCI framework to analyze data from interviews and co-design activities with older adults focused on the topic of use and design of conversational AI assistants. In doing so, my dissertation will provide an empirical understanding of a) the different actors (human and non-human) that configure older adults' use and perception of emerging technologies, b) identify implications for designing conversation voice technologies for older adults, and c) provide a preliminary understanding of what Entanglement HCI has to offer for understanding some challenging phenomena of Aging in CSCW and HCI, and thereby provide new perspectives on how we could include older adults in designing the next generation of technologies.
KW - Aging
KW - Conversational voice assistants
KW - Entanglement HCI
KW - Fourth wave
KW - Older adults
KW - Ubiquitous technologies
UR - http://www.scopus.com/inward/record.url?scp=85118530971&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85118530971&partnerID=8YFLogxK
U2 - 10.1145/3462204.3481796
DO - 10.1145/3462204.3481796
M3 - Conference contribution
AN - SCOPUS:85118530971
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 287
EP - 290
BT - CSCW 2021 - Conference Companion Publication of the 2021 Computer Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery
T2 - 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021
Y2 - 23 October 2021 through 27 October 2021
ER -