Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT

In an era of AI's growing capabilities and influences, recent advancements are reshaping HCI and CSCW's view of AI. Playful interactions emerged as an important way for users to make sense of the ever-changing AI technologies, yet remained underexamined. We target this gap by investigating playful interactions exhibited by users of a popular AI technology, ChatGPT. Through a thematic analysis of 372 user-generated posts on the ChatGPT subreddit, we found that more than half (54%) of user discourse revolved around playful interactions. The analysis further allowed us to construct a preliminary framework to describe these interactions, categorizing them into six types: reflecting, jesting, imitating, challenging, tricking, and contriving; each included sub-categories. This study contributes to HCI and CSCW by identifying the diverse ways users engage in playful interactions with AI. It examines how these interactions can help users understand AI's agency, shape human-AI relationships, and provide insights for designing AI systems.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-05-02
DOI
https://doi.org/10.1145/3711015
Citations
4
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
9.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT

Mohammad Ronagh Nikghalb, Jinghui Cheng
4 citations
Proceedings of the ACM on Human-Computer Interaction
Ethics and Social Impacts of AI
9.46
article

Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT

Mohammad Ronagh Nikghalb, Jinghui Cheng
article en
4 citations

Abstract

In an era of AI's growing capabilities and influences, recent advancements are reshaping HCI and CSCW's view of AI. Playful interactions emerged as an important way for users to make sense of the ever-changing AI technologies, yet remained underexamined. We target this gap by investigating playful interactions exhibited by users of a popular AI technology, ChatGPT. Through a thematic analysis of 372 user-generated posts on the ChatGPT subreddit, we found that more than half (54%) of user discourse revolved around playful interactions. The analysis further allowed us to construct a preliminary framework to describe these interactions, categorizing them into six types: reflecting, jesting, imitating, challenging, tricking, and contriving; each included sub-categories. This study contributes to HCI and CSCW by identifying the diverse ways users engage in playful interactions with AI. It examines how these interactions can help users understand AI's agency, shape human-AI relationships, and provide insights for designing AI systems.

Proceedings of the ACM on Human-Computer InteractionVol. 9(2)
Polytechnique Montréal (CA)
Openalex Percentile: Top 2%
Ethics and Social Impacts of AI
9.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT — Mohammad Ronagh Nikghalb, Jinghui Cheng · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS