TY - GEN
T1 - The Last Decade of HCI Research on Children and Voice-based Conversational Agents
AU - Garg, Radhika
AU - Cui, Hua
AU - Seligson, Spencer
AU - Zhang, Bo
AU - Porcheron, Martin
AU - Clark, Leigh
AU - Cowan, Benjamin R.
AU - Beneteau, Erin
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/4/29
Y1 - 2022/4/29
N2 - 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.
AB - 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.
KW - children
KW - conversational agents
KW - family
KW - literature review
KW - parents
KW - smart speakers
KW - systematic literature review
KW - virtual assistants
KW - voice agents
KW - voice interfaces
KW - voice user interfaces
UR - http://www.scopus.com/inward/record.url?scp=85130528774&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130528774&partnerID=8YFLogxK
U2 - 10.1145/3491102.3502016
DO - 10.1145/3491102.3502016
M3 - Conference contribution
AN - SCOPUS:85130528774
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
Y2 - 30 April 2022 through 5 May 2022
ER -