Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change

P.Y. Chen; Sophie  van Gent; M. Birna van Riemsdijk; M.L. Tielman; Tjeerd Schoonderwoerd

Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change

P.Y. Chen, Sophie van Gent, M. Birna van Riemsdijk, M.L. Tielman, Tjeerd Schoonderwoerd

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific

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Abstract

This paper explores the potential of conversational intermediary AI (CIAI) between patients and healthcare providers, focusing specifically on promoting healthier lifestyles for Type 2 diabetes. CIAI aims to address the constraint of limited healthcare provider time by acting as an intermediary in-between infrequent consultations. CIAI enables healthcare providers to understand patients better and offer personalized support. Through an exploratory focus group with healthcare domain experts, we gather insights into CIAI’s envisioned in diabetes care. Our findings highlight the potential benefits of CIAI in diabetes care.

Original language	English
Title of host publication	Proceedings of the 19𝑡ℎ International Conference on Persuasive Technology
Editors	Kiemute Oyibo, Wenzhen Xu, Elena Vlahu-Gjorgievska
Number of pages	13
Publication status	Published - 2024
Event	19th International Conference on Persuasive Technology, Adjunct Proceedings co-located with PERSUASIVE 2024 - Wollongong, Australia Duration: 10 Apr 2024 → 12 Apr 2024

Publication series

Name	CEUR
Volume	3728

Conference

Conference	19th International Conference on Persuasive Technology, Adjunct Proceedings co-located with PERSUASIVE 2024
Country/Territory	Australia
City	Wollongong
Period	10/04/24 → 12/04/24

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Conversational AI
User model
Personalization
Value
Behavior support system

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paper1Final published version, 447 KBLicence: CC BY

Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change: materials & collected data
Tielman, M. (Creator), TU Delft - 4TU.ResearchData, 24 Sept 2024
DOI: 10.4121/71ECFA47-9D3C-44AB-ABE3-58CABDC41B6C
Dataset/Software: Dataset

Cite this

Chen, P. Y., van Gent, S., van Riemsdijk, M. B., Tielman, M. L., & Schoonderwoerd, T. (2024). Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change. In K. Oyibo, W. Xu, & E. Vlahu-Gjorgievska (Eds.), Proceedings of the 19𝑡ℎ International Conference on Persuasive Technology (CEUR; Vol. 3728).

@inproceedings{ff959626262d40acbd478ee2b5f85575,

title = "Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change",

abstract = "This paper explores the potential of conversational intermediary AI (CIAI) between patients and healthcare providers, focusing specifically on promoting healthier lifestyles for Type 2 diabetes. CIAI aims to address the constraint of limited healthcare provider time by acting as an intermediary in-between infrequent consultations. CIAI enables healthcare providers to understand patients better and offer personalized support. Through an exploratory focus group with healthcare domain experts, we gather insights into CIAI{\textquoteright}s envisioned in diabetes care. Our findings highlight the potential benefits of CIAI in diabetes care.",

keywords = "Conversational AI, User model, Personalization, Value, Behavior support system",

author = "P.Y. Chen and \{van Gent\}, Sophie and \{van Riemsdijk\}, \{M. Birna\} and M.L. Tielman and Tjeerd Schoonderwoerd",

year = "2024",

language = "English",

series = "CEUR",

editor = "Oyibo, \{Kiemute \} and Xu, \{Wenzhen \} and Vlahu-Gjorgievska, \{Elena \}",

booktitle = "Proceedings of the 19𝑡ℎ International Conference on Persuasive Technology",

note = "19th International Conference on Persuasive Technology, Adjunct Proceedings<br/>co-located with PERSUASIVE 2024 ; Conference date: 10-04-2024 Through 12-04-2024",

}

Chen, PY, van Gent, S, van Riemsdijk, MB, Tielman, ML & Schoonderwoerd, T 2024, Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change. in K Oyibo, W Xu & E Vlahu-Gjorgievska (eds), Proceedings of the 19𝑡ℎ International Conference on Persuasive Technology. CEUR, vol. 3728, 19th International Conference on Persuasive Technology, Adjunct Proceedings
co-located with PERSUASIVE 2024, Wollongong, Australia, 10/04/24.

Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change. / Chen, P.Y.; van Gent, Sophie ; van Riemsdijk, M. Birna et al.
Proceedings of the 19𝑡ℎ International Conference on Persuasive Technology. ed. / Kiemute Oyibo; Wenzhen Xu; Elena Vlahu-Gjorgievska. 2024. (CEUR; Vol. 3728).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific

TY - GEN

T1 - Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change

AU - Chen, P.Y.

AU - van Gent, Sophie

AU - van Riemsdijk, M. Birna

AU - Tielman, M.L.

AU - Schoonderwoerd, Tjeerd

PY - 2024

Y1 - 2024

N2 - This paper explores the potential of conversational intermediary AI (CIAI) between patients and healthcare providers, focusing specifically on promoting healthier lifestyles for Type 2 diabetes. CIAI aims to address the constraint of limited healthcare provider time by acting as an intermediary in-between infrequent consultations. CIAI enables healthcare providers to understand patients better and offer personalized support. Through an exploratory focus group with healthcare domain experts, we gather insights into CIAI’s envisioned in diabetes care. Our findings highlight the potential benefits of CIAI in diabetes care.

AB - This paper explores the potential of conversational intermediary AI (CIAI) between patients and healthcare providers, focusing specifically on promoting healthier lifestyles for Type 2 diabetes. CIAI aims to address the constraint of limited healthcare provider time by acting as an intermediary in-between infrequent consultations. CIAI enables healthcare providers to understand patients better and offer personalized support. Through an exploratory focus group with healthcare domain experts, we gather insights into CIAI’s envisioned in diabetes care. Our findings highlight the potential benefits of CIAI in diabetes care.

KW - Conversational AI

KW - User model

KW - Personalization

KW - Value

KW - Behavior support system

M3 - Conference contribution

T3 - CEUR

BT - Proceedings of the 19𝑡ℎ International Conference on Persuasive Technology

A2 - Oyibo, Kiemute

A2 - Xu, Wenzhen

A2 - Vlahu-Gjorgievska, Elena

T2 - 19th International Conference on Persuasive Technology, Adjunct Proceedings<br/>co-located with PERSUASIVE 2024

Y2 - 10 April 2024 through 12 April 2024

ER -

Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change

Abstract

Publication series

Conference

UN SDGs

Keywords

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Datasets

Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change: materials & collected data

Cite this