Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer

Mirae Kim; Heejin Kim; Kyubum Hwang; Hayoung Oh; Min Ah Kim

doi:10.1145/3583780.3615234

Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer

Mirae Kim
, Heejin Kim
, Kyubum Hwang
, Hayoung Oh
, Min Ah Kim

Sungkyunkwan University

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

6 Scopus citations

Abstract

This study introduces an informational and empathetic chatbot for childhood cancer survivors. As the survival rates for childhood cancer around the world have increased, survivors often face various psychosocial challenges during and after cancer treatment. However, they rarely seek support from psychosocial professionals due to the low availability of resources and stigma toward cancer survivors in countries like South Korea. This study aimed to develop a chatbot tailed to the unique characteristics of childhood cancer survivors in need of informational and emotional support. Given the limited availability of empirical data on childhood cancer survivors, quotes from survivors were gathered from academic articles and social media, then large language models were employed to generate appropriate responses. Furthermore, we incorporated domain learning techniques to ensure a more tailored and suitable model for addressing the needs of survivors.

Original language	English
Title of host publication	CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
Publisher	Association for Computing Machinery
Pages	4018-4022
Number of pages	5
ISBN (Electronic)	9798400701245
DOIs	https://doi.org/10.1145/3583780.3615234
State	Published - 21 Oct 2023
Event	32nd ACM International Conference on Information and Knowledge Management, CIKM 2023 - Birmingham, United Kingdom Duration: 21 Oct 2023 → 25 Oct 2023

Publication series

Name	International Conference on Information and Knowledge Management, Proceedings

Conference

Conference	32nd ACM International Conference on Information and Knowledge Management, CIKM 2023
Country/Territory	United Kingdom
City	Birmingham
Period	21/10/23 → 25/10/23

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Childhood Cancer Survivors
Domain-Adaptive Training
Large Language Model
Retrieval-Based Model

Access to Document

10.1145/3583780.3615234

Cite this

Kim, M., Kim, H., Hwang, K., Oh, H., & Kim, M. A. (2023). Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer. In CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 4018-4022). (International Conference on Information and Knowledge Management, Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615234

Kim, Mirae ; Kim, Heejin ; Hwang, Kyubum et al. / Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer. CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, 2023. pp. 4018-4022 (International Conference on Information and Knowledge Management, Proceedings).

@inproceedings{9075b0d10fa841b5909591daa7ccde90,

title = "Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer",

abstract = "This study introduces an informational and empathetic chatbot for childhood cancer survivors. As the survival rates for childhood cancer around the world have increased, survivors often face various psychosocial challenges during and after cancer treatment. However, they rarely seek support from psychosocial professionals due to the low availability of resources and stigma toward cancer survivors in countries like South Korea. This study aimed to develop a chatbot tailed to the unique characteristics of childhood cancer survivors in need of informational and emotional support. Given the limited availability of empirical data on childhood cancer survivors, quotes from survivors were gathered from academic articles and social media, then large language models were employed to generate appropriate responses. Furthermore, we incorporated domain learning techniques to ensure a more tailored and suitable model for addressing the needs of survivors.",

keywords = "Childhood Cancer Survivors, Domain-Adaptive Training, Large Language Model, Retrieval-Based Model",

author = "Mirae Kim and Heejin Kim and Kyubum Hwang and Hayoung Oh and Kim, \{Min Ah\}",

note = "Publisher Copyright: {\textcopyright} 2023 Copyright is held by the owner/author(s). Publication rights licensed to ACM.; 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023 ; Conference date: 21-10-2023 Through 25-10-2023",

year = "2023",

month = oct,

day = "21",

doi = "10.1145/3583780.3615234",

language = "English",

series = "International Conference on Information and Knowledge Management, Proceedings",

publisher = "Association for Computing Machinery",

pages = "4018--4022",

booktitle = "CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management",

}

Kim, M, Kim, H, Hwang, K, Oh, H & Kim, MA 2023, Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer. in CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, pp. 4018-4022, 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, 21/10/23. https://doi.org/10.1145/3583780.3615234

Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer. / Kim, Mirae; Kim, Heejin; Hwang, Kyubum et al.
CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, 2023. p. 4018-4022 (International Conference on Information and Knowledge Management, Proceedings).

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

TY - GEN

T1 - Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer

AU - Kim, Mirae

AU - Kim, Heejin

AU - Hwang, Kyubum

AU - Oh, Hayoung

AU - Kim, Min Ah

PY - 2023/10/21

Y1 - 2023/10/21

N2 - This study introduces an informational and empathetic chatbot for childhood cancer survivors. As the survival rates for childhood cancer around the world have increased, survivors often face various psychosocial challenges during and after cancer treatment. However, they rarely seek support from psychosocial professionals due to the low availability of resources and stigma toward cancer survivors in countries like South Korea. This study aimed to develop a chatbot tailed to the unique characteristics of childhood cancer survivors in need of informational and emotional support. Given the limited availability of empirical data on childhood cancer survivors, quotes from survivors were gathered from academic articles and social media, then large language models were employed to generate appropriate responses. Furthermore, we incorporated domain learning techniques to ensure a more tailored and suitable model for addressing the needs of survivors.

AB - This study introduces an informational and empathetic chatbot for childhood cancer survivors. As the survival rates for childhood cancer around the world have increased, survivors often face various psychosocial challenges during and after cancer treatment. However, they rarely seek support from psychosocial professionals due to the low availability of resources and stigma toward cancer survivors in countries like South Korea. This study aimed to develop a chatbot tailed to the unique characteristics of childhood cancer survivors in need of informational and emotional support. Given the limited availability of empirical data on childhood cancer survivors, quotes from survivors were gathered from academic articles and social media, then large language models were employed to generate appropriate responses. Furthermore, we incorporated domain learning techniques to ensure a more tailored and suitable model for addressing the needs of survivors.

KW - Childhood Cancer Survivors

KW - Domain-Adaptive Training

KW - Large Language Model

KW - Retrieval-Based Model

UR - https://www.scopus.com/pages/publications/85178123564

U2 - 10.1145/3583780.3615234

DO - 10.1145/3583780.3615234

M3 - Conference contribution

AN - SCOPUS:85178123564

T3 - International Conference on Information and Knowledge Management, Proceedings

SP - 4018

EP - 4022

BT - CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

PB - Association for Computing Machinery

T2 - 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023

Y2 - 21 October 2023 through 25 October 2023

ER -

Kim M, Kim H, Hwang K, Oh H , Kim MA. Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer. In CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery. 2023. p. 4018-4022. (International Conference on Information and Knowledge Management, Proceedings). doi: 10.1145/3583780.3615234

Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this