aiqbench analysis
This scoping review synthesizes 102 papers to establish "AI-mediated self" as a core design space in HCI, mapping ethical risks across autonomy, identity, and relational capacity. By introducing a framework that situates AI relationships along a spectrum of proximity, the work provides a reusable vocabulary for analyzing how AI entanglement reshapes human selfhood. The study effectively bridges disparate fields like education and health to define the conceptual boundaries where AI fundamentally alters the experience of the self.
AI-Mediated Self: How HCI Defines and Relates to the Self
arXiv:2610.10770v1 Announce Type: cross Abstract: How might AI alter how we understand and experience the self? This scoping review analyzes 102 papers to examine how the self is defined in the field of human-computer interaction (HCI), how AI-self relationships are conceptualized, and what risks emerge when AI becomes entangled with selfhood. Our synthesis makes three contributions. First, we define AI-mediated self as a conceptual umbrella that connects dispersed work across education, workplace, health, and creative practices. Second, we consolidate six framings of the self with four domains of ethical risk-agency/autonomy, identity/authorship, relational capacity, and meaning-making-into a conceptual map that provides a reusable vocabulary across contexts. Third, we introduce the Inclusion of AI-Self framework, which situates AI-self relationships along a spectrum of proximity. Together, these contributions position selfhood as a central design space in HCI.
Abstract:How might AI alter how we understand and experience the self? This scoping review analyzes 102 papers to examine how the self is defined in the field of human-computer interaction (HCI), how AI-self relationships are conceptualized, and what risks emerge when AI becomes entangled with selfhood. Our synthesis makes three contributions. First, we define AI-mediated self as a conceptual umbrella that connects dispersed work across education, workplace, health, and creative practices. Second, we consolidate six framings of the self with four domains of ethical risk-agency/autonomy, identity/authorship, relational capacity, and meaning-making-into a conceptual map that provides a reusable vocabulary across contexts. Third, we introduce the Inclusion of AI-Self framework, which situates AI-self relationships along a spectrum of proximity. Together, these contributions position selfhood as a central design space in HCI.
Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI)
arXiv:2610.10770 [cs.HC]
(or arXiv:2610.10770v1 [cs.HC] for this version)
https://doi.org/10.48550/arXiv.2610.10770 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 226 words
