Human-AI in affordance perspective: a study on ChatGPT users in the context of Indonesian users

This study explores the interaction between humans and artificial intelligence (AI) through the lens of affordance theory, focusing on how Indonesian users experience and interpret ChatGPT in their daily lives. Adopting a socioconstructivist approach to affordance, the research investigates how users perceive, adapt to, and assign meaning to ChatGPT’s capabilities beyond its technical design. Using a qualitative descriptive method with light netnographic observation, this study examines user interactions and discussions within online communities. The findings reveal that affordances are not solely embedded in the AI system but emerge relationally, shaped by users’ intentions, contexts, and social interpretations. ChatGPT is variously perceived as a thinking assistant, productivity enhancer, confidence booster, and reflective partner. These perceptions are informed by diverse user motivations, such as improving work efficiency, overcoming cognitive barriers, or seeking emotional support in moments of solitude. The study identifies a dynamic interaction between technological features and human agency, highlighting how users’ lived experiences co-construct the functional and symbolic value of AI. This research contributes to the evolving discourse on human–AI relationships by emphasizing the subjective and socially situated nature of affordances, offering insights into how users domesticate AI tools in everyday contexts. Ultimately, the study challenges deterministic views of technology by demonstrating that the perceived value of AI is co-created through experiential engagement rather than solely defined by its technical affordances.

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Publication Details

Journal
Frontiers in Computer Science
Published
2025-07-21
DOI
https://doi.org/10.3389/fcomp.2025.1623029
Citations
4
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
9.92
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article

Human-AI in affordance perspective: a study on ChatGPT users in the context of Indonesian users

Adrio Kusmareza Adim, Firdaus Azwar Ersyad, Astri Wulandari, Rizca Haqqu et al.
4 citations
Frontiers in Computer Science
AI in Service Interactions
9.92
article

Human-AI in affordance perspective: a study on ChatGPT users in the context of Indonesian users

Adrio Kusmareza Adim, Firdaus Azwar Ersyad, Astri Wulandari, Rizca Haqqu, Alya Rahma Zahrani
article en
4 citations

Abstract

This study explores the interaction between humans and artificial intelligence (AI) through the lens of affordance theory, focusing on how Indonesian users experience and interpret ChatGPT in their daily lives. Adopting a socioconstructivist approach to affordance, the research investigates how users perceive, adapt to, and assign meaning to ChatGPT’s capabilities beyond its technical design. Using a qualitative descriptive method with light netnographic observation, this study examines user interactions and discussions within online communities. The findings reveal that affordances are not solely embedded in the AI system but emerge relationally, shaped by users’ intentions, contexts, and social interpretations. ChatGPT is variously perceived as a thinking assistant, productivity enhancer, confidence booster, and reflective partner. These perceptions are informed by diverse user motivations, such as improving work efficiency, overcoming cognitive barriers, or seeking emotional support in moments of solitude. The study identifies a dynamic interaction between technological features and human agency, highlighting how users’ lived experiences co-construct the functional and symbolic value of AI. This research contributes to the evolving discourse on human–AI relationships by emphasizing the subjective and socially situated nature of affordances, offering insights into how users domesticate AI tools in everyday contexts. Ultimately, the study challenges deterministic views of technology by demonstrating that the perceived value of AI is co-created through experiential engagement rather than solely defined by its technical affordances.

Frontiers in Computer ScienceVol. 7
Telkom University (ID)
Openalex Percentile: Top 2%
AI in Service Interactions
9.92
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