Designing Computational Tools for Behavioral and Clinical Science

Albert Ali Salah*

*Corresponding author for this work

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

Abstract

Automatic analysis of human affective and social signals brought computer science closer to social sciences and, in particular, enabled collaborations between computer scientists and behavioral scientists. In this talk, I highlight the main research areas in this burgeoning interdisciplinary area, and provide an overview of the opportunities and challenges. Drawing on examples from our recent research, such as automatic analysis of interactive play therapy sessions with children, and diagnosis of bipolar disorder from multimodal cues, as well as relying on examples from the growing literature, I explore the potential of human-AI collaboration, where AI systems do not replace, but support monitoring and human decision making in behavioral and clinical sciences.

Original languageEnglish
Title of host publicationEICS '21: Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems
PublisherAssociation for Computing Machinery
Pages1-4
Number of pages4
ISBN (Electronic)9781450384490
DOIs
Publication statusPublished - 8 Jun 2021
Event13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2021 - Virtual, Online, Netherlands
Duration: 8 Jun 202111 Jun 2021

Conference

Conference13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2021
Country/TerritoryNetherlands
CityVirtual, Online
Period8/06/2111/06/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

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