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Conference Paper/Proceeding/Abstract 1304 views 888 downloads

The Last Decade of HCI Research on Children and Voice-based Conversational Agents

Radhika Garg, Hua Cui, Spencer Seligson, Bo Zhang, Martin Porcheron Orcid Logo, Leigh Clark Orcid Logo, Benjamin R. Cowan, Erin Beneteau

CHI Conference on Human Factors in Computing Systems. New Orleans LA USA. 29 April 2022- 5 May 2022., Volume: CHI'22, Pages: 1 - 19

Swansea University Authors: Martin Porcheron Orcid Logo, Leigh Clark Orcid Logo

DOI (Published version): 10.1145/3491102.3502016

Abstract

Voice-based Conversational Agents (CAs) are increasingly being used by children. Through a review of 38 research papers, this work maps trends, themes, and methods of empirical research on children and CAs in HCI research over the last decade. A thematic analysis of the research found that work in t...

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Published in: CHI Conference on Human Factors in Computing Systems. New Orleans LA USA. 29 April 2022- 5 May 2022.
ISBN: 978-1-4503-9157-3/22/04
Published: New York, NY, USA ACM 2022
Online Access: http://dx.doi.org/10.1145/3491102.3502016
URI: https://cronfa.swan.ac.uk/Record/cronfa59438
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spelling 2022-06-15T14:55:40.2716179 v2 59438 2022-02-23 The Last Decade of HCI Research on Children and Voice-based Conversational Agents d9de398c04c0b443d547d455782d5de5 0000-0003-3814-7174 Martin Porcheron Martin Porcheron true false 004ef41b90854a57a498549a462f13a0 0000-0002-9237-1057 Leigh Clark Leigh Clark true false 2022-02-23 SCS Voice-based Conversational Agents (CAs) are increasingly being used by children. Through a review of 38 research papers, this work maps trends, themes, and methods of empirical research on children and CAs in HCI research over the last decade. A thematic analysis of the research found that work in this domain focuses on seven key topics: ascribing human-like qualities to CAs, CAs’ support of children’s learning, the use and role of CAs in the home and family context, CAs’ support of children’s play, children’s storytelling with CA, issues concerning the collection of information revealed by CAs, and CAs designed for children with differing abilities. Based on our findings, we identify the needs to account for children's intersectional identities and linguistic and cultural diversity and theories from multiple disciples in the design of CAs, develop heuristics for child-centric interaction with CAs, to investigate implications of CAs on social cognition and interpersonal relationships, and to examine and design for multi-party interactions with CAs for different domains and contexts. Conference Paper/Proceeding/Abstract CHI Conference on Human Factors in Computing Systems. New Orleans LA USA. 29 April 2022- 5 May 2022. CHI'22 1 19 ACM New York, NY, USA 978-1-4503-9157-3/22/04 27 4 2022 2022-04-27 10.1145/3491102.3502016 http://dx.doi.org/10.1145/3491102.3502016 Supplementary material available from publisher website. COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2022-06-15T14:55:40.2716179 2022-02-23T10:04:12.8394271 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Radhika Garg 1 Hua Cui 2 Spencer Seligson 3 Bo Zhang 4 Martin Porcheron 0000-0003-3814-7174 5 Leigh Clark 0000-0002-9237-1057 6 Benjamin R. Cowan 7 Erin Beneteau 8 59438__22429__0ca66eb1c1e246eca2b02f564166bf92.pdf 2021 CHI Children + CAs Lit Review.pdf 2022-02-23T10:09:23.4993890 Output 622426 application/pdf Accepted Manuscript true true eng
title The Last Decade of HCI Research on Children and Voice-based Conversational Agents
spellingShingle The Last Decade of HCI Research on Children and Voice-based Conversational Agents
Martin Porcheron
Leigh Clark
title_short The Last Decade of HCI Research on Children and Voice-based Conversational Agents
title_full The Last Decade of HCI Research on Children and Voice-based Conversational Agents
title_fullStr The Last Decade of HCI Research on Children and Voice-based Conversational Agents
title_full_unstemmed The Last Decade of HCI Research on Children and Voice-based Conversational Agents
title_sort The Last Decade of HCI Research on Children and Voice-based Conversational Agents
author_id_str_mv d9de398c04c0b443d547d455782d5de5
004ef41b90854a57a498549a462f13a0
author_id_fullname_str_mv d9de398c04c0b443d547d455782d5de5_***_Martin Porcheron
004ef41b90854a57a498549a462f13a0_***_Leigh Clark
author Martin Porcheron
Leigh Clark
author2 Radhika Garg
Hua Cui
Spencer Seligson
Bo Zhang
Martin Porcheron
Leigh Clark
Benjamin R. Cowan
Erin Beneteau
format Conference Paper/Proceeding/Abstract
container_title CHI Conference on Human Factors in Computing Systems. New Orleans LA USA. 29 April 2022- 5 May 2022.
container_volume CHI'22
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publishDate 2022
institution Swansea University
isbn 978-1-4503-9157-3/22/04
doi_str_mv 10.1145/3491102.3502016
publisher ACM
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hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
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department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url http://dx.doi.org/10.1145/3491102.3502016
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description Voice-based Conversational Agents (CAs) are increasingly being used by children. Through a review of 38 research papers, this work maps trends, themes, and methods of empirical research on children and CAs in HCI research over the last decade. A thematic analysis of the research found that work in this domain focuses on seven key topics: ascribing human-like qualities to CAs, CAs’ support of children’s learning, the use and role of CAs in the home and family context, CAs’ support of children’s play, children’s storytelling with CA, issues concerning the collection of information revealed by CAs, and CAs designed for children with differing abilities. Based on our findings, we identify the needs to account for children's intersectional identities and linguistic and cultural diversity and theories from multiple disciples in the design of CAs, develop heuristics for child-centric interaction with CAs, to investigate implications of CAs on social cognition and interpersonal relationships, and to examine and design for multi-party interactions with CAs for different domains and contexts.
published_date 2022-04-27T04:16:45Z
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