Using fNIRS To Understand Adults’ Empathy for Children in AI and Cybersecurity Scenarios
Authors:
- Mohsena AshrafMAMohsena Ashraf
- Genevieve PattersonGPGenevieve Patterson
- Zachary KilhofferZKZachary Kilhoffer
- Xu HanXHXu Han
- Nolan BradyNBNolan Brady
- Anna RahnARAnna Rahn
- Nikhitha AtluriNANikhitha Atluri
- Violet OliverVOViolet Oliver
- Yun HuangYHYun Huang
- Yang WangYWYang Wang
- Pilyoung KimPKPilyoung Kim
- Tom YehTYTom Yeh
Open Access
- 19 June 2023
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 630-634
Abstract
Empathy for children is critical for designing AI technologies that may affect children. This paper presents the work in progress of a study on the feasibility of a new method to provide objective understanding of people’s empathy for children based on functional near infrared spectroscopy (fNIRS). Adult participants (n=13) were presented with benign or concerning scenarios involving children interacting with AI technologies. Their brain activation patterns were recorded and analyzed. Preliminary data analysis revealed distinctive patterns in the mPFC region, which justifies future work to fully realize the potential of this method.Keywords
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