Extending the self through AI-mediated communication: functional, ontological, and anthropomorphic extensions

Abstract Increasingly, Artificial Intelligence (AI) assistants are used to optimize communication goals by modifying, augmenting, and generating messages in human online interactions. Scholars are just beginning to recognize the potential of AI-Mediated Communication (AI-MC) to transform how people communicate and manage impressions, and this article helps advance research in this area by conceptualizing ways in which using AI-MC can lead to perceptions of self-extension. We first unpack the conceptual history of technological self-extension and trace the development of a three-pronged framework that has been applied to research on smartphones, including functional, ontological, and anthropomorphic dimensions. We then synthesize the literature on smartphone self-extension with defining features and uses of AI-MC to advance propositions about ways in which its use can foster user perceptions of functional, ontological, and anthropomorphic self-extension. As we explain, AI-MC refers to AI’s capacity to modify, augment, and generate communication, and each of these distinctive processes suggests distinctive mechanisms and implications for self-extension. The article concludes by addressing how AI-MC and smartphones are converging and advances considerations for self-extension and how scholars study it.

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Publication Details

Journal
Communication and Change
Published
2025-04-29
DOI
https://doi.org/10.1007/s44382-025-00003-2
Citations
5
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
12.40
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article

Extending the self through AI-mediated communication: functional, ontological, and anthropomorphic extensions

Scott W. Campbell, Nicole B. Ellison, Morgan Quinn Ross
5 citations
Communication and Change
AI in Service Interactions
12.40
article

Extending the self through AI-mediated communication: functional, ontological, and anthropomorphic extensions

Scott W. Campbell, Nicole B. Ellison, Morgan Quinn Ross
article en
5 citations

Abstract

Abstract Increasingly, Artificial Intelligence (AI) assistants are used to optimize communication goals by modifying, augmenting, and generating messages in human online interactions. Scholars are just beginning to recognize the potential of AI-Mediated Communication (AI-MC) to transform how people communicate and manage impressions, and this article helps advance research in this area by conceptualizing ways in which using AI-MC can lead to perceptions of self-extension. We first unpack the conceptual history of technological self-extension and trace the development of a three-pronged framework that has been applied to research on smartphones, including functional, ontological, and anthropomorphic dimensions. We then synthesize the literature on smartphone self-extension with defining features and uses of AI-MC to advance propositions about ways in which its use can foster user perceptions of functional, ontological, and anthropomorphic self-extension. As we explain, AI-MC refers to AI’s capacity to modify, augment, and generate communication, and each of these distinctive processes suggests distinctive mechanisms and implications for self-extension. The article concludes by addressing how AI-MC and smartphones are converging and advances considerations for self-extension and how scholars study it.

Communication and ChangeVol. 1(1)
Oregon State University (US), University of Michigan (US), The Ohio State University (US)
Openalex Percentile: Top 2%
AI in Service Interactions
12.40
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Extending the self through AI-mediated communication: functional, ontological, and anthropomorphic extensions — Scott W. Campbell, Nicole B. Ellison, et al. · Communication and Change (2025) | TGRS Research Map | TGRS