Social Boundaries for Personal Agents in the Interpersonal Space of the Home
Open accessAbstract
The presence of voice activated personal assistants (VAPAs) in people's homes rises each year [31]. Industry efforts are invested in making interactions with VAPAs more personal by leveraging information from messages and calendars, and by accessing user accounts for 3rd party services. However, the use of personal data becomes more complicated in interpersonal spaces, such as people's homes. Should a shared agent access the information of many users? If it does, how should it navigate issues of privacy and control? Designers currently lack guidelines to help them design appropriate agent behaviors. We used Speed Dating to explore inchoate social mores around agent actions within a home, including issues of proactivity, interpersonal conflict, and agent prevarication. Findings offer new insights on how more socially sophisticated agents might sense, make judgements about, and navigate social roles and individuals. We discuss how our findings might impact future research and future agent behaviors.
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Most researchers have primarily studied group voice assistant use in home settings with children and parents.
“Since most researchers have primarily studied group voice assistant use in home settings with children and parents [2,14,17,18], we encourage future work to explore VA group use in community living.”
From Studying Exploration & Long-Term Use of Voice Assistants by Older Adults (2023) · cites this paper as [18]
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References 45 · Cited by 66
- Authors
- Luria, M., Zheng, R., Huffman, B., Huang, S., Zimmerman, J., & Forlizzi, J.
- Affiliations
- Carnegie Mellon University (US)
- Venue
- Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2020-04-21
- Pages
- 1-12
- OpenAlex
- W3030049029
- Cited by
- 66
- References
- 45
- Citations by year
- 2026: 12 · 2025: 8 · 2024: 7 · 2023: 12 · 2022: 13 · 2021: 11 · 2020: 3
- FWCI
- 13.75
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by-nd)
- Funders
- National Science Foundation (SES1734456)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- social boundaries, privacy, personal data sharing, interpersonal conflict, social mores, social roles
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