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Understanding the Long-Term Use of Smart Speaker Assistants

Published: 18 September 2018 Publication History

Abstract

Over the past two years the Ubicomp vision of ambient voice assistants, in the form of smart speakers such as the Amazon Echo and Google Home, has been integrated into tens of millions of homes. However, the use of these systems over time in the home has not been studied in depth. We set out to understand exactly what users are doing with these devices over time through analyzing voice history logs of 65,499 interactions with existing Google Home devices from 88 diverse homes over an average of 110 days. We found that specific types of commands were made more often at particular times of day and that commands in some domains increased in length over time as participants tried out new ways to interact with their devices, yet exploration of new topics was low. Four distinct user groups also emerged based on using the device more or less during the day vs. in the evening or using particular categories. We conclude by comparing smart speaker use to a similar study of smartphone use and offer implications for the design of new smart speaker assistants and skills, highlighting specific areas where both manufacturers and skill providers can focus in this domain.

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  • (2024)Ok Google : « Pourquoi les utilisateurs d’assistants vocaux maintiennent-ils leur utilisation de la technologie dans le temps ? »Décisions Marketing10.3917/dm.112.0027N° 112:4(27-50)Online publication date: 25-Jan-2024
  • (2024)Interacting with Smart Virtual Assistants for Individuals with Dysarthria: A Comparative Study on Usability and User PreferencesApplied Sciences10.3390/app1404140914:4(1409)Online publication date: 8-Feb-2024
  • (2024)Investigating the Integration and the Long-Term Use of Smart Speakers in Older Adults’ Daily Practices: Qualitative StudyJMIR mHealth and uHealth10.2196/4747212(e47472)Online publication date: 12-Feb-2024
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Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 2, Issue 3
September 2018
1536 pages
EISSN:2474-9567
DOI:10.1145/3279953
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2018
Accepted: 01 September 2018
Revised: 01 May 2018
Received: 01 February 2018
Published in IMWUT Volume 2, Issue 3

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Author Tags

  1. Google Home
  2. Mid-Scale Data Collection
  3. Smart Speaker
  4. Voice Assistants
  5. Voice I/O

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Cited By

View all
  • (2024)Ok Google : « Pourquoi les utilisateurs d’assistants vocaux maintiennent-ils leur utilisation de la technologie dans le temps ? »Décisions Marketing10.3917/dm.112.0027N° 112:4(27-50)Online publication date: 25-Jan-2024
  • (2024)Interacting with Smart Virtual Assistants for Individuals with Dysarthria: A Comparative Study on Usability and User PreferencesApplied Sciences10.3390/app1404140914:4(1409)Online publication date: 8-Feb-2024
  • (2024)Investigating the Integration and the Long-Term Use of Smart Speakers in Older Adults’ Daily Practices: Qualitative StudyJMIR mHealth and uHealth10.2196/4747212(e47472)Online publication date: 12-Feb-2024
  • (2024)Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading ActivitiesProceedings of the ACM on Human-Computer Interaction10.1145/36870358:CSCW2(1-25)Online publication date: 8-Nov-2024
  • (2024)Qualitative Approaches to Voice UXACM Computing Surveys10.1145/365866656:12(1-34)Online publication date: 20-Apr-2024
  • (2024)A Context-Aware Onboarding Agent for Metaverse Powered by Large Language ModelsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661579(1857-1874)Online publication date: 1-Jul-2024
  • (2024)Speech Understanding on Tiny Devices with A Learning CacheProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661886(425-437)Online publication date: 3-Jun-2024
  • (2024)SashaProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435058:1(1-38)Online publication date: 6-Mar-2024
  • (2024)Voice Assistants' Accountability through Explanatory DialoguesProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665557(1-12)Online publication date: 8-Jul-2024
  • (2024)Toward Faceted Skill Recommendation in Intelligent Personal AssistantsProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645201(640-649)Online publication date: 18-Mar-2024
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