Using fNIRS To Understand Adults’ Empathy for Children in AI and Cybersecurity Scenarios

Mohsena Ashraf, Genevieve Patterson, Zachary Kilhoffer, Xu Han, Nolan Brady, Anna Rahn, Nikhitha Atluri, Violet Oliver, Yun Huang, Yang Wang, Pilyoung Kim, Tom Yeh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of IDC 2023 - 22nd Annual ACM Interaction Design and Children Conference
Subtitle of host publicationRediscovering Childhood
PublisherAssociation for Computing Machinery, Inc
Pages630-634
Number of pages5
ISBN (Electronic)9798400701313
DOIs
StatePublished - 19 Jun 2023
Event22nd Annual ACM Interaction Design and Children Conference: Rediscovering Childhood, IDC 2023 - Chicago, United States
Duration: 19 Jun 202322 Jun 2023

Publication series

NameProceedings of IDC 2023 - 22nd Annual ACM Interaction Design and Children Conference: Rediscovering Childhood

Conference

Conference22nd Annual ACM Interaction Design and Children Conference: Rediscovering Childhood, IDC 2023
Country/TerritoryUnited States
CityChicago
Period19/06/2322/06/23

Bibliographical note

Publisher Copyright:
© 2023 Copyright held by the owner/author(s).

Keywords

  • Children-AI interaction
  • Empathy for Children
  • fNIRS
  • Vignettes

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