LabCompass

Patrick C. Shih

Computer Science · Indiana University

OpenAlex ORCID
Innovative Human-Technology InteractionAutism Spectrum Disorder ResearchMobile Health and mHealth ApplicationsDigital Mental Health InterventionsICT in Developing Communities

Publications

152

Citations

2,945

Est. group size

—

Recurring co-author estimate

Active years

18

Publishing since 2009

Research summary
AI-generated

Patrick C. Shih studies human-computer interaction (HCI), focusing on how digital technologies can support health, wellbeing, and underserved communities. Recent work spans reproductive and sexual health tools, mobile health apps, technology in art and music therapy, and the experiences of vulnerable and marginalized populations online. Much of the research uses interviews, surveys, and co-design methods to understand user needs and design better systems.

Human-computer interaction and technology designDigital and mobile health toolsReproductive and sexual health technologyTechnology for vulnerable and marginalized communitiesTechnology in creative therapies (art/music therapy)

Publication activity has been steady over the past decade, fluctuating between roughly 6 and 19 papers per year with an average of about 10 in the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 10.2/year recently
2017: 6 publications172018: 18 publications182019: 9 publications192020: 12 publications202021: 19 publications19212022: 7 publications222023: 8 publications232024: 19 publications19242025: 10 publications252026: 7 publications26
Recent publications
Publishes in
  • Proceedings of the ACM on Human-Computer Interaction×8
  • JMIR Formative Research×4
  • Zenodo (CERN European Organization for Nuclear Research)×4
  • Lecture notes in computer science×3
  • Medicine & Science in Sports & Exercise×3

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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