Co-designing Human–Chatbot Interaction for Various Healthcare Purposes: Considering Chatbots’ Social Characteristics and Communication Modalities

Xinyi Wang; Qingchuan Li

doi:10.1007/978-3-031-61546-7_26

Co-designing Human–Chatbot Interaction for Various Healthcare Purposes: Considering Chatbots’ Social Characteristics and Communication Modalities

Xinyi Wang
, Qingchuan Li^*

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The last decade has witnessed the blooming growth of healthcare chatbots in behavior interventions, elderly care, healthcare education, online diagnosis, and elsewhere. To meet the users’ expectations and preferences, there is a need to investigate how to design social characteristics and communication modalities for healthcare chatbots serving different healthcare scenarios. This study introduces a co-design approach to address the challenges and uncertainties faced by users in virtual healthcare environments. By engaging users in an early design phase, the results provide insights into their attitudes and preferences for healthcare chatbots. It indicated that in different healthcare scenarios, users have varying psychological needs and considerations regarding the social characteristics and communication modalities of medical chatbots. Five kinds of healthcare chatbots are summarized: patient support services, health lifestyle and daily management, telemedicine and virtual health, emotional and mental health support, and assistance in medical work and research. Guidelines are proposed to inform the design of these chatbots, which can offer empirical support and practical guidance for future healthcare chatbot design.

Original language	English
Title of host publication	Human Aspects of IT for the Aged Population - 10th International Conference, ITAP 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
Editors	Qin Gao, Jia Zhou
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	399-414
Number of pages	16
ISBN (Print)	9783031615450
DOIs	https://doi.org/10.1007/978-3-031-61546-7_26
State	Published - 2024
Externally published	Yes
Event	10th International Conference on Human Aspects of IT for the Aged Population, ITAP 2024, held as part of the 26th HCI International Conference, HCII 2024 - Washington, United States Duration: 29 Jun 2024 → 4 Jul 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14726 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Human Aspects of IT for the Aged Population, ITAP 2024, held as part of the 26th HCI International Conference, HCII 2024
Country/Territory	United States
City	Washington
Period	29/06/24 → 4/07/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Co-Design
Communication Modalities
Healthcare Service
Human–Chatbot interaction
Social Characteristics

Access to Document

10.1007/978-3-031-61546-7_26

Cite this

Wang, X., & Li, Q. (2024). Co-designing Human–Chatbot Interaction for Various Healthcare Purposes: Considering Chatbots’ Social Characteristics and Communication Modalities. In Q. Gao, & J. Zhou (Eds.), Human Aspects of IT for the Aged Population - 10th International Conference, ITAP 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings (pp. 399-414). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14726 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-61546-7_26

Wang, Xinyi ; Li, Qingchuan. / Co-designing Human–Chatbot Interaction for Various Healthcare Purposes : Considering Chatbots’ Social Characteristics and Communication Modalities. Human Aspects of IT for the Aged Population - 10th International Conference, ITAP 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. editor / Qin Gao ; Jia Zhou. Springer Science and Business Media Deutschland GmbH, 2024. pp. 399-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1acb4836b9714a308b4187747a6f7322,

title = "Co-designing Human–Chatbot Interaction for Various Healthcare Purposes: Considering Chatbots{\textquoteright} Social Characteristics and Communication Modalities",

abstract = "The last decade has witnessed the blooming growth of healthcare chatbots in behavior interventions, elderly care, healthcare education, online diagnosis, and elsewhere. To meet the users{\textquoteright} expectations and preferences, there is a need to investigate how to design social characteristics and communication modalities for healthcare chatbots serving different healthcare scenarios. This study introduces a co-design approach to address the challenges and uncertainties faced by users in virtual healthcare environments. By engaging users in an early design phase, the results provide insights into their attitudes and preferences for healthcare chatbots. It indicated that in different healthcare scenarios, users have varying psychological needs and considerations regarding the social characteristics and communication modalities of medical chatbots. Five kinds of healthcare chatbots are summarized: patient support services, health lifestyle and daily management, telemedicine and virtual health, emotional and mental health support, and assistance in medical work and research. Guidelines are proposed to inform the design of these chatbots, which can offer empirical support and practical guidance for future healthcare chatbot design.",

keywords = "Co-Design, Communication Modalities, Healthcare Service, Human–Chatbot interaction, Social Characteristics",

author = "Xinyi Wang and Qingchuan Li",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 10th International Conference on Human Aspects of IT for the Aged Population, ITAP 2024, held as part of the 26th HCI International Conference, HCII 2024 ; Conference date: 29-06-2024 Through 04-07-2024",

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doi = "10.1007/978-3-031-61546-7\_26",

language = "英语",

isbn = "9783031615450",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "399--414",

editor = "Qin Gao and Jia Zhou",

booktitle = "Human Aspects of IT for the Aged Population - 10th International Conference, ITAP 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings",

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Wang, X & Li, Q 2024, Co-designing Human–Chatbot Interaction for Various Healthcare Purposes: Considering Chatbots’ Social Characteristics and Communication Modalities. in Q Gao & J Zhou (eds), Human Aspects of IT for the Aged Population - 10th International Conference, ITAP 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14726 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 399-414, 10th International Conference on Human Aspects of IT for the Aged Population, ITAP 2024, held as part of the 26th HCI International Conference, HCII 2024, Washington, United States, 29/06/24. https://doi.org/10.1007/978-3-031-61546-7_26

Co-designing Human–Chatbot Interaction for Various Healthcare Purposes: Considering Chatbots’ Social Characteristics and Communication Modalities. / Wang, Xinyi; Li, Qingchuan.
Human Aspects of IT for the Aged Population - 10th International Conference, ITAP 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. ed. / Qin Gao; Jia Zhou. Springer Science and Business Media Deutschland GmbH, 2024. p. 399-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14726 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Co-designing Human–Chatbot Interaction for Various Healthcare Purposes

T2 - 10th International Conference on Human Aspects of IT for the Aged Population, ITAP 2024, held as part of the 26th HCI International Conference, HCII 2024

AU - Wang, Xinyi

AU - Li, Qingchuan

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - The last decade has witnessed the blooming growth of healthcare chatbots in behavior interventions, elderly care, healthcare education, online diagnosis, and elsewhere. To meet the users’ expectations and preferences, there is a need to investigate how to design social characteristics and communication modalities for healthcare chatbots serving different healthcare scenarios. This study introduces a co-design approach to address the challenges and uncertainties faced by users in virtual healthcare environments. By engaging users in an early design phase, the results provide insights into their attitudes and preferences for healthcare chatbots. It indicated that in different healthcare scenarios, users have varying psychological needs and considerations regarding the social characteristics and communication modalities of medical chatbots. Five kinds of healthcare chatbots are summarized: patient support services, health lifestyle and daily management, telemedicine and virtual health, emotional and mental health support, and assistance in medical work and research. Guidelines are proposed to inform the design of these chatbots, which can offer empirical support and practical guidance for future healthcare chatbot design.

AB - The last decade has witnessed the blooming growth of healthcare chatbots in behavior interventions, elderly care, healthcare education, online diagnosis, and elsewhere. To meet the users’ expectations and preferences, there is a need to investigate how to design social characteristics and communication modalities for healthcare chatbots serving different healthcare scenarios. This study introduces a co-design approach to address the challenges and uncertainties faced by users in virtual healthcare environments. By engaging users in an early design phase, the results provide insights into their attitudes and preferences for healthcare chatbots. It indicated that in different healthcare scenarios, users have varying psychological needs and considerations regarding the social characteristics and communication modalities of medical chatbots. Five kinds of healthcare chatbots are summarized: patient support services, health lifestyle and daily management, telemedicine and virtual health, emotional and mental health support, and assistance in medical work and research. Guidelines are proposed to inform the design of these chatbots, which can offer empirical support and practical guidance for future healthcare chatbot design.

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KW - Human–Chatbot interaction

KW - Social Characteristics

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Wang X, Li Q. Co-designing Human–Chatbot Interaction for Various Healthcare Purposes: Considering Chatbots’ Social Characteristics and Communication Modalities. In Gao Q, Zhou J, editors, Human Aspects of IT for the Aged Population - 10th International Conference, ITAP 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 399-414. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-61546-7_26

Co-designing Human–Chatbot Interaction for Various Healthcare Purposes: Considering Chatbots’ Social Characteristics and Communication Modalities

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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