Abstract
Children's sexual sensitivity in community settings poses challenges for caregivers who struggle to address inquiries appropriately. Establishing trust is crucial, as it affects children's willingness to seek help in case of abuse. Generative AI (GenAI) presents an opportunity to bridge the gap between expert counselling and wider populations. This study aimed to identify barriers, perceived advantages, limitations, and functional preferences of caregivers to accept GenAI-powered conversational agent that assist with child sex education. We chose ChatGPT as the design probe, providing caregivers with sex education guidance and analyzed the data using Grounded Theory. The Unified Theory of Acceptance and Use of Technology guided the data analysis, mapping key constructs related to AI acceptance: performance expectancy, effort expectancy, social influence, and security concerns. Collaborating with community caregivers and experts, we develop design principles for GenAI-powered conversational tools to promote open and healthy discussions on sex and gender in community health education.
Keywords
UTAUT, children sex education by caregivers, AI acceptance, Design principles for GenAI-powered conversational agent
DOI
https://doi.org/10.21606/iasdr.2023.791
Citation
Lin, X., Sun, S., He, X.,and Zhang, A.(2023) How the GenAI sex education advisor became feasible: exploring the future design principles for child sex education in the community, in De Sainz Molestina, D., Galluzzo, L., Rizzo, F., Spallazzo, D. (eds.), IASDR 2023: Life-Changing Design, 9-13 October, Milan, Italy. https://doi.org/10.21606/iasdr.2023.791
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
shortpapers
Included in
How the GenAI sex education advisor became feasible: exploring the future design principles for child sex education in the community
Children's sexual sensitivity in community settings poses challenges for caregivers who struggle to address inquiries appropriately. Establishing trust is crucial, as it affects children's willingness to seek help in case of abuse. Generative AI (GenAI) presents an opportunity to bridge the gap between expert counselling and wider populations. This study aimed to identify barriers, perceived advantages, limitations, and functional preferences of caregivers to accept GenAI-powered conversational agent that assist with child sex education. We chose ChatGPT as the design probe, providing caregivers with sex education guidance and analyzed the data using Grounded Theory. The Unified Theory of Acceptance and Use of Technology guided the data analysis, mapping key constructs related to AI acceptance: performance expectancy, effort expectancy, social influence, and security concerns. Collaborating with community caregivers and experts, we develop design principles for GenAI-powered conversational tools to promote open and healthy discussions on sex and gender in community health education.