Eternagram : Probing Player Atitudes in Alternate Climate Scenarios Through a ChatGPT-Driven Text Adventure
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | CHI '24 |
| Subtitle of host publication | Proceedings of the CHI Conference on Human Factors in Computing Systems |
| Editors | Florian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski |
| Publisher | Association for Computing Machinery |
| ISBN (print) | 979-8-4007-0330-0 |
| Publication status | Published - May 2024 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|
Conference
| Title | 2024 CHI Conference on Human Factors in Computing Sytems (CHI 2024) |
|---|---|
| Location | Hawaiʻi Convention Center |
| Place | United States |
| City | Honolulu |
| Period | 11 - 16 May 2024 |
Link(s)
Abstract
Conventional methods of assessing attitudes towards climate change are limited in capturing authentic opinions, primarily stemming from a lack of context-specific assessment strategies and an overreliance on simplistic surveys. Game-based Assessments (GBA) have demonstrated the ability to overcome these issues by immersing participants in engaging gameplay within carefully crafted, scenario-based environments. Concurrently, advancements in AI and Natural Language Processing (NLP) show promise in enhancing the gamified testing environment, achieving this by generating context-aware, human-like dialogues that contribute to a more natural and effective assessment. Our study introduces a new technique for probing climate change attitudes by actualizing a GPT-driven chatbot system in harmony with a game design depicting a futuristic climate scenario. The correlation analysis reveals an assimilation effect, where players' post-game climate awareness tends to align with their in-game perceptions. Key predictors of pro-climate attitudes are identified as traits like 'Openness' and 'Agreeableness', and a preference for democratic values.
© 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
© 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Research Area(s)
- Conversation Analysis, Games/Play, HCI for Development, Interaction Design, Interactive Storytelling, Quantitative Methods, Survey, Text Entry
Bibliographic Note
Publisher Copyright:
© 2024 Copyright held by the owner/author(s)
Citation Format(s)
Eternagram: Probing Player Atitudes in Alternate Climate Scenarios Through a ChatGPT-Driven Text Adventure. / Zhou, Suifang; Hendra, Latisha Besariani; Zhang, Qinshi et al.
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems. ed. / Florian Floyd Mueller,; Penny Kyburz; Julie R. Williamson; Corina Sas; Max L. Wilson; Phoebe Toups Dugas; Irina Shklovski. Association for Computing Machinery, 2024. 281 (Conference on Human Factors in Computing Systems - Proceedings).
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems. ed. / Florian Floyd Mueller,; Penny Kyburz; Julie R. Williamson; Corina Sas; Max L. Wilson; Phoebe Toups Dugas; Irina Shklovski. Association for Computing Machinery, 2024. 281 (Conference on Human Factors in Computing Systems - Proceedings).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
