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Modeling Human Cognition for Social Robotics Applications: Latest Advances and Prospects

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (10 May 2023) | Viewed by 2255

Special Issue Editors


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Guest Editor
“E. Piaggio” Research Center, University of Pisa, 56126 Pisa, PI, Italy
Interests: social robotics; cognitive systems; human–robot interaction; artificial emotions; artificial consciousness; humanoid expressive robots

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Guest Editor
The Adaptive Systems Research Group, Computer Science Department of University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, UK
Interests: mutual behaviour adaptation in human–robot interactions; contextual reasoning; development of cognitive systems for autonomous robots; social robotics

Special Issue Information

Dear Colleagues,

The creation of a social robot is the perfect example of interdisciplinarity, merging knowledge coming from automation, computer science, mechatronics, and machine learning with fields outside of the engineering realm, such as neuroscience, social psychology, and philosophy, to cite a few. This synergy has resulted in human-inspired cognitive, perception, and actuation systems designed to turn a robot into a social agent with interaction capabilities. In particular, thanks to the capability to interpret and express emotions, social robots have been successful in education and the treatment of individuals with neurodevelopmental or behavioural disorders and as support for neurodegenerative diseases. Nonetheless, the impact is wider, and the aim is twofold: on one hand, as social roboticists, we are interested in increasing autonomy, embodying human-like reasoning, behaviour, and movements in a robot, which implies having a counterpart that better satisfies our expectations and thus can socially resonate with us; on the other hand, in this process, we are creating a human replica, i.e., a platform on which we can implement and test theories of human cognition and behaviour with a systematic approach. Today, indeed, many studies involve social robots to investigate how humans make decisions, what they feel during a social interaction, and when they trust others. However, we are seeing much less work that demonstrates the actual application of these robots in the wild, outside the laboratory environment.

This Special Issue aims at encouraging leading scientists to contribute with their latest advances and prospects in the design, building, testing, and application of social robots, with a particular focus on robot autonomy, including cognition, personality, and behaviour design, representation of emotions and their influence on robot decision making, and applications in real-world settings, but with no limitations to novel solutions that could help to improve the naturalness and effectiveness of human–robot social interaction.

Dr. Lorenzo Cominelli
Dr. Abolfazl Zaraki
Guest Editors

Manuscript Submission Information

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Keywords

  • modelling social cognition in HRI
  • social robot autonomy
  • human-inspired cognitive architectures for social robotics
  • live mutual learning and behaviour adaptation
  • robot empathy
  • long-term interaction
  • human-likeness in morphology and actuation
  • robot personality and behavioural models
  • social robots applications in real-world settings
  • social robots acceptance and likeability

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Published Papers (1 paper)

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Research

14 pages, 970 KiB  
Article
Effects of Voice and Lighting Color on the Social Perception of Home Healthcare Robots
by Xiao Dou, Li Yan, Kai Wu and Jin Niu
Appl. Sci. 2022, 12(23), 12191; https://doi.org/10.3390/app122312191 - 28 Nov 2022
Cited by 7 | Viewed by 1809
Abstract
The influence of matching between robots’ social cues on users’ social perceptions should be investigated systematically to better fit robots to their occupational roles. In this study, an experiment with 69 older and middle-aged participants was conducted to explore the effects of the [...] Read more.
The influence of matching between robots’ social cues on users’ social perceptions should be investigated systematically to better fit robots to their occupational roles. In this study, an experiment with 69 older and middle-aged participants was conducted to explore the effects of the voice and lighting color of a home healthcare robot on users’ social perception, which was measured by the Robotic Social Attributes Scale (RoSAS). The results indicated that voice and lighting color significantly affected social perceptions of the healthcare robot. Specifically, the adopted robot received high warmth ratings when it had an adult female voice or a child voice, whereas it received high competence ratings when it had an adult male voice. The robot received a high warmth rating and a high competence rating when warm and cool lighting were used, respectively, as visual feedback. Furthermore, a mismatch in the robot’s voice and lighting color was discovered to evoke feelings of discomfort. The findings of this study can be used as a reference to design robots with acceptable social perception and to expand the roles of social robots in the future. Full article
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