Human–AI Collaboration for Identifying Health Information Wants

doi:10.1017/9781009587877.010

9 - Human–AI Collaboration for Identifying Health Information Wants

Published online by Cambridge University Press: 19 September 2025

Zhuochun Li ,

Zhimeng Luo ,

Ning Zou ,

Bo Xie and

Daqing He

Edited by

Dan Wu and

Shaobo Liang

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Dan Wu: Affiliation:
Wuhan University, China
Shaobo Liang: Affiliation:
Wuhan University, China

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Summary

Informal caregivers such as family members or friends provide much care to people with physical or cognitive impairment. To address challenges in care, caregivers often seek information online via social media platforms for their health information wants (HIWs), the types of care-related information that caregivers wish to have. Some efforts have been made to use Artificial Intelligence (AI) to understand caregivers’ information behaviors on social media. In this chapter, we present achievements of research with a human–AI collaboration approach in identifying caregivers’ HIWs, focusing on dementia caregivers as one example. Through this collaboration, AI techniques such as large language models (LLMs) can be used to extract health-related domain knowledge for building classification models, while human experts can benefit from the help of AI to further understand caregivers’ HIWs. Our approach has implications for the caregiving of various groups. The outcomes of human–AI collaboration can provide smart interventions to help caregivers and patients.

Keywords

Human–AI Collaboration Artificial intelligence Large Language Models Health Information Wants Text Classification

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Type: Chapter
Information: Human-AI Interaction and Collaboration , pp. 213 - 238

DOI: https://doi.org/10.1017/9781009587877.010 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2025

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