Are We Better Together? Investigating the Value of Human–AI Collaboration for Online Health Communities

Presenter Information

Danielly de Paula, Hasso Plattner Institute, University of PotsdamFollow
Nikita Shishelyakin, Hasso Plattner Institute, University of PotsdamFollow
Vanessa Kipping, Hasso Plattner Institute, University of PotsdamFollow
Yuexing Hao, MITFollow
Aparna Balagopalan, MITFollow
Marzyeh Ghassemi, MITFollow
Ariel Stern, Hasso Plattner Institute, University of PotsdamFollow

Paper Number

ICIS2025-1116

Paper Type

Short

Abstract

While human–AI collaboration holds promise due to the potentially complementary strengths of humans and AI, the conditions under which it proves most valuable remain underexplored. Drawing on situational theory, knowledge self-efficacy, and trust, this study investigates the value of human–AI collaboration in supporting the writing of peer responses in the context of online health communities (OHCs). We theorize that the information-seeking situation—whether users seek emotional or instructional support—and trust in AI influence the perceived value of the collaboration. Furthermore, we explore how engaging with a human–AI collaboration-based system might affect users’ confidence in their ability to contribute meaningful support in OHCs. This study advances the theoretical understanding of human–AI collaboration in OHCs by proposing a set of conditions for evaluating when and how such collaboration is most valuable.

Comments

15-Interaction

Recommended Citation

de Paula, Danielly; Shishelyakin, Nikita; Kipping, Vanessa; Hao, Yuexing; Balagopalan, Aparna; Ghassemi, Marzyeh; and Stern, Ariel, "Are We Better Together? Investigating the Value of Human–AI Collaboration for Online Health Communities" (2025). ICIS 2025 Proceedings. 5.
https://aisel.aisnet.org/icis2025/hti/hti/5