Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Digital ethnography of home use of digital personal assistants

Bibliographic Data

ID21452704
AuthorsJeni Paay (0000-0001-8328-6662, Swinburne University of Technology), Jesper Kjeldskov (0000-0001-7990-4229, Aalborg University, corresponding author), Kathrine Maja Hansen (Aalborg University), Tobias Bornakke (0000-0002-8278-7630, Aalborg University), Tobias Jørgensen (Aalborg University), Katrine Leth Overgaard (Aalborg University)
Year2022
Volume41
Issue4
Pages740-758
Publication date2022-03-12
Open AccessNo
TypeARTICLE
VenueBehaviour and Information Technology (JOURNAL)
Journal identifiersISSN: 0144-929X • E-ISSN: 1362-3001
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0144929x.2020.1834620
OpenAlexW3093455825
LanguageEN
Citations received6
References cited37

Commercialised voice user interface devices for the home, like Amazon Echo, Google Home, and Apple HomePod, with integrated digital personal assistants have rapidly grown in popularity. These devices embody intelligent software agents that support users in their everyday life through easy and intuitive conversational interactions. While their use in everyday activities is largely unexplored, the proliferation in home use presents a valuable opportunity to add to understanding around the use of in-home digital personal assistants. In this paper, we investigate their home use in a broad context to learn more about people’s experiences, attitudes, interactions and expectations with these devices contributing new insights to current knowledge around this use. Applying the digital ethnography method, we collected 3542 reviews and comments about Amazon Echo, Google Home, and Apple HomePod on Amazon, eBay, and Reddit. Six main themes and 29 categories were derived through filtering, thematic analysis and affinity diagramming. These findings constitute a conceptual framework characterising the current landscape of home use of digital personal assistants. Additionally, we identify and discuss unique issues discovered around the invisible interface, interactive freedom, and creative appropriation. We use our findings to propose implications for interaction design of DPAs for home use

Appropriation · Conceptual framework · Context (archaeology) · Ethnography · Everyday life · Geography · Human–computer interaction · Interface (matter) · Internet privacy · Popularity · Qualitative research · Sociology · Thematic analysis · World Wide Web · AI in Service Interactions · Computer Science · Psychology · Sharing Economy and Platforms · Social Psychology · Social Robot Interaction and HRI

  • Voice-Activated Virtual Home Assistant Use and Social Isolation and Loneliness Among Older Adults

    Open Access•Cynthia F Corbett, Pamela J Wright et al.•Frontiers in Public Health•2021

  • Emerging Ideas. A brief commentary on human– AI attachment and possible impacts on family dynamics

    Open Access•Brandon T Mcdaniel, Amanda Coupe et al.•Family Relations•2025

  • How households engage with digital voice assistants in everyday family life

    Open Access•Jeni Paay, Jesper Kjeldskov et al.•Behaviour and Information…•2026

  • The effect of personal pronouns on users and the social role of conversational agents

    Jianhong Qu, Ronggang Zhou et al.•Behaviour and Information…•2022

  • When communicative AIs are cooperative actors

    Y L Ng•Behaviour and Information…•2023

  • ‘How should my family assistant be?’

    Aslı Günay, Gülşen Töre Yargın et al.•Behaviour and Information…•2023

  • "Like Having a Really Bad PA"

    Open Access•Ewa Luger, Abigail Sellen•Proceedings of the 2016 CHI…•2016

  • Null

    Open Access•null null•Philosophy study•2016

  • Alexa, Are You Listening

    Open Access•Josephine Lau, Benjamin Zimmerman et al.•Proceedings of the ACM on…•2018

  • Using thematic analysis in psychology

    Open Access•Braun, Virginia Braun et al.•Qualitative Research in Psychology•2006

  • Between the Mundane and the Exotic

    Open Access•Mike Michael•Time & Society•2003

Citations per year1.2
Citation span2021 - 2026 (6)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae