Invested Interest in Their Voice Assistant's AI Model: A Sociomaterial Perspective on Owners' Attitudes and Experiences

Mckie, I

Invested Interest in Their Voice Assistant's AI Model: A Sociomaterial Perspective on Owners' Attitudes and Experiences

Mckie, I

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Publisher:: Association for Information Science and Technology
Publication Type:: Conference Proceeding
Citation:: 2023, pp. 1-4
Issue Date:: 2023-03-21

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Field	Value	Language
dc.contributor.author	Mckie, I https://orcid.org/0000-0002-1638-4649
dc.date	2023-04-11
dc.date.accessioned	2024-02-06T00:39:28Z
dc.date.available	2024-02-06T00:39:28Z
dc.date.issued	2023-03-21
dc.identifier.citation	2023, pp. 1-4
dc.identifier.uri	http://hdl.handle.net/10453/175340
dc.description.abstract	Voice assistants (VAs) are a unique type of semantic media that transects visual, oral, and audio interaction and, at the same time, is heavily personified in its design, and often anthropomorphised by its users (Moriuchi, 2021). VAs are dependent on the use of AI models to provide an accurate response to a user’s inquiry. This paper uses semi-structured interviews to examine the attitudes and experiences of long-term users of VAs regarding improving the AI model of their devices to help their user experience of VAs. Findings suggest that long-term users have mixed sentiments toward providing their data for improving the AI model. It also reports on experiences with feedback mechanisms reformatted to voice mediums. The attitudes towards AI transparency and interpretations of how users contributed to improving their VAs are discussed. Implications of the research provide insight into how users perceive their AI VAs and how they are motivated and action continuous improvements to VAs through their everyday interactions.
dc.language	en
dc.publisher	Association for Information Science and Technology
dc.relation.ispartof	Association for Information Science and Technology Mid-Year Conference
dc.relation.ispartofseries	2023 ASIS&T Mid-Year Conference Proceedings
dc.relation.isbasedon	10.5281/zenodo.7758061
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Invested Interest in Their Voice Assistant's AI Model: A Sociomaterial Perspective on Owners' Attitudes and Experiences
dc.type	Conference Proceeding
utslib.location.activity	Online
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences/School of Communication
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2024-02-06T00:39:27Z
pubs.finish-date	2023-04-13
pubs.publication-status	Published online
pubs.start-date	2023-04-11

Abstract:

Voice assistants (VAs) are a unique type of semantic media that transects visual, oral, and audio interaction and, at the same time, is heavily personified in its design, and often anthropomorphised by its users (Moriuchi, 2021). VAs are dependent on the use of AI models to provide an accurate response to a user’s inquiry. This paper uses semi-structured interviews to examine the attitudes and experiences of long-term users of VAs regarding improving the AI model of their devices to help their user experience of VAs. Findings suggest that long-term users have mixed sentiments toward providing their data for improving the AI model. It also reports on experiences with feedback mechanisms reformatted to voice mediums. The attitudes towards AI transparency and interpretations of how users contributed to improving their VAs are discussed. Implications of the research provide insight into how users perceive their AI VAs and how they are motivated and action continuous improvements to VAs through their everyday interactions.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/175340