Actions for Bridging the Paradigm Gap Between CASA and Uncanny Valley : Proposing A Motivated Cognition Approach for Human-Agent Social

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Bridging the Paradigm Gap Between CASA and Uncanny Valley : Proposing A Motivated Cognition Approach for Human-Agent Social

Author
Shao, Ruosi
Published
[University Park, Pennsylvania] : Pennsylvania State University, 2023.
Physical Description
1 electronic document
Additional Creators
Oliver, Mary
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Restricted (PSU Only).
Summary
Having a non-human agent as a companion has been a longstanding fantasy in human history. Two paradigms, uncanny valley of mind (UVM) and computer as social actor (CASA), provide explanations and directions of human responses towards agent taking social roles and displaying social capacities. According to CASA, individuals mindlessly apply social rules in their interactions with technological artifacts that demonstrate sufficient social cues, which further facilitates effective human-agent interaction (Nass & Moon, 2000). However, the uncanny valley of mind hypothesis suggests that human acceptance of agents possessing social capacities and humanlike characteristics does not occur naturally and smoothly. Having non-human agent display social qualities, especially for mental capacities, may trigger emotional reactance in humans (Mori et al., 2012). Grounded in the human-centered standpoint, this dissertation proposes a motivated cognition approach to bridge the current paradigm gap between CASA and the uncanny valley by emphasizing the "active role" of humans in interactions with social technologies. In particular, this study hypothesized that by eliciting social relational mindsets in humans, individuals are cognitively prepared to perceive mental capacities in non-human agents, which further increased the acceptance and evaluation of the received empathetic support from the support agent. Results supported the positive effect of social relational mindsets on the evaluation of supportive interaction. However, neither CASA nor uncanny valley of mind propositions were supported in the context of human-agent supportive interaction.
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Dissertation Note
Ph.D. Pennsylvania State University 2023.
Technical Details
The full text of the dissertation is available as an Adobe Acrobat .pdf file ; Adobe Acrobat Reader required to view the file.
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