AI-Mediated Communication: Language Use and Interpersonal Effects in a Referential Communication Task

Through a between-subjects experimental design we examine how these processes are influenced when integrating AI language in the form of suggested responses (Google’s smart replies) into a text-based referential communication task. [(PDF - Accepted Version)](https://www.hnmiecz.com/media/AI_MC_CSCW_website.pdf)

Positioning AI-Mediated Communication in the Field of Human-Machine Communication*

I outline relevant theories of social cognition and presiding ideas surrounding language production and comprehension in conversation. Within these two broad components of communication, similarities and differences between human-machine communication (HMC) and AI-mediated communication (AI-MC) are investigated. [(PDF - Workshop Paper)](https://www.hnmiecz.com/media/HMC_HRI_2021.pdf)

Applying the Principal-Agent Framework to AI-Mediated Communication: Psychological Implications*

We introduce the concept of principal-agent relationships to AI-Mediated Communication (AI-MC) and discuss its applications across the social sciences, focusing on the psychological implications.

Helping not hurting: applying the stereotype content model and bias map to social robotics

We examine relationships between perceptions of warmth and competence, emotional responses, and behavioral tendencies in the context of social robots.

Social media use and psychological well-being: a meta-analysis*

Through a meta-analysis of 226 articles, we investigate the relationship between social media use and six types of well-being.