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Updated: Dec 11, 2025
07:34
Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
17.8K
Relating Mori's Uncanny Valley in generating conversations with artificial affective communication and natural
Feni Betriana1, Kyoko Osaka2, Kazuyuki Matsumoto3
1Graduate School of Health Sciences, Tokushima University Graduate School, Tokushima, Japan.
Summary
Human affinity for healthcare robots is explored, focusing on how their design and artificial affective communication (AAC) impact patient interactions. Understanding the Uncanny Valley is crucial for developing effective human-robot healthcare engagement.
Area of Science:
- Human-robot interaction
- Artificial intelligence in healthcare
- Robotics and automation
Background:
- Human beings exhibit affinity (Shinwa-kan) in interactions with healthcare providers, patients, and robots.
- Healthcare robots increasingly incorporate compassionate dialogical functions.
- Robot design often mimics human form based on positivist principles.
Purpose of the Study:
- To review Mori's Uncanny Valley theory in the context of healthcare robots.
- To examine the relationship between robot design, artificial affective communication (AAC), and natural language processing (NLP).
- To assess the impact of robot appearance and communication on human-robot engagement in healthcare.
Main Methods:
- Review of Mori's Uncanny Valley theory and related debates.
- Examination of "Uncanny" relations in generating conversational content for healthcare robots.
- Analysis of artificial affective communication (AAC) using natural language processing (NLP).
Main Results:
- Healthcare robot configurations, including physiognomy and communication, influence human-robot interactions.
- The Uncanny Valley theory provides a framework for understanding user responses to healthcare robots.
- NLP is integral to developing effective AAC for healthcare robots.
Conclusions:
- The physical features, language capabilities, and mobility of healthcare robots are critical for effective AAC.
- Maintaining human-robot interaction and assessing "eeriness" are vital for successful healthcare robot integration.
- AAC, powered by NLP, is fundamental to the practice of healthcare robots in human healthcare.
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