"It's Kind of Like Code-Switching": Black Older Adults' Experiences with a Voice Assistant for Health Information Seeking

要旨

Black older adults from lower socioeconomic environments are often neglected in health technology interventions. Voice assistants have a potential to make healthcare more accessible to older adults, yet, little is known about their experiences with this type of health information seeking, especially Black older adults. Through a three-phase exploratory study, we explored health information seeking with 30 Black older adults in lower-income environments to understand how they ask health-related questions, and their perceptions of the Google Home being used for that purpose. Through our analysis, we identified the health information needs and common search topics, and discussed the communication breakdowns and types of repair performed. We contribute an understanding of cultural code-switching that has to be done by these older adults when interacting with voice assistants, and the importance of such phenomenon when designing for historically excluded groups.

受賞
Best Paper
著者
Christina Harrington
Carnegie Mellon University , Pittsburgh, Pennsylvania, United States
Radhika Garg
Syracuse University, Syracuse, New York, United States
Amanda Woodward
Michigan State University, Detroit, Michigan, United States
Dimitri Williams
DePaul University, Chicago, Illinois, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3501995

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Accessibility and Aging - Design & Experiences

394
5 件の発表
2022-05-03 20:00:00
2022-05-03 21:15:00