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“I Want It That Way”: Exploring Users’ Customization and Personalization Preferences for Home Assistants

Authors:

Dmitry Alexandrovsky,

Rainer MalakaAuthors Info & Claims

CHI EA '22: CHI Conference on Human Factors in Computing Systems Extended Abstracts

Article No.: 270, Pages 1 - 8

https://doi.org/10.1145/3491101.3519843

Published: 28 April 2022 Publication History

Abstract

Home assistants are becoming a widespread product, but they mostly come as a compact device and offer very few customization and personalization features, which often leads to dissatisfaction. With the technological advancements, these systems are becoming more adaptable to the users’ needs and can better imitate a human personality. To achieve that efficiently, understanding how different users envision their desired assistant is crucial. To identify people’s customization and personalization preferences and their desired personality for a home assistant, we designed a set of storyboards depicting a variety of possible features in a domestic setting and conducted a user study (), including a series of semi-structured interviews. Our quantitative results suggest that users prefer an agent which is highly agreeable and has higher conscientiousness and emotional stability. Furthermore, we discuss users’ customization and personalization preferences for a home assistant, which could be considered when designing the future generation of home assistants.

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cover image ACM Conferences

CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems

April 2022

3066 pages

ISBN:9781450391566

DOI:10.1145/3491101

Editors:
Simone Barbosa
PUC-Rio, Brazil
,
Cliff Lampe
University of Michigan, USA
,
Caroline Appert
Université Paris-Saclay, France
,
David A. Shamma
Toyota Research Institute, USA

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https://dl.acm.org/doi/10.1145/3613905.3651102
Lakier MVogel D(2024)Digital Knick-Knacks: Standalone Audiovisual Digital Possessions or Embellishments in Digital EnvironmentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642695(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642695
Chahal HMahajan M(2024)Voice Unbound: The Impact of Localization and Experience on Continuous Personal Voice Assistant Usage and Its DriversInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2413282(1-18)Online publication date: 17-Oct-2024
https://doi.org/10.1080/10447318.2024.2413282
Mendu SDoyle Fosco SLanza SAbdullah S(2023)Designing voice interfaces to support mindfulness-based pain managementDIGITAL HEALTH10.1177/205520762312044189Online publication date: 19-Oct-2023
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