Abstract:Modern conversational agents such as Alexa and Google Assistant represent significant progress in speech recognition, natural language processing, and speech synthesis. But as these agents have grown more realistic, concerns have been raised over how their social nature might unconsciously shape our interactions with them. Through a survey of 500 voice assistant users, we explore whether users' relationships with their voice assistants can be quantified using the same metrics as social, interpersonal relationships; as well as if this correlates with how much they trust their devices and the extent to which they anthropomorphise them. Using Knapp's staircase model of human relationships, we find that not only can human-device interactions be modelled in this way, but also that relationship development with voice assistants correlates with increased trust and anthropomorphism.
| Comments: | To appear in the Proceedings of the ACM on Human Computer Interaction (PACMHCI). 16 pages |
| Subjects: | Human-Computer Interaction (cs.HC) |
| Cite as: | arXiv:2108.01923 [cs.HC] |
| (or arXiv:2108.01923v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2108.01923 arXiv-issued DOI via DataCite |
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| Related DOI: | https://doi.org/10.1145/3479515
DOI(s) linking to related resources |
Submission history
From: William Seymour [view email]
[v1]
Wed, 4 Aug 2021 09:18:06 UTC (107 KB)