1
|
Grandi LC, Bruni S. Will the Artificial Intelligence Touch Substitute for the Human Touch? NEUROSCI 2024; 5:254-264. [PMID: 39483277 PMCID: PMC11469742 DOI: 10.3390/neurosci5030020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 06/25/2024] [Accepted: 07/12/2024] [Indexed: 11/03/2024] Open
Abstract
Nowadays, artificial intelligence is used in many fields to diagnose and treat different diseases. Robots are also useful tools that substitute for human work. Despite robots being used also for touch therapy, can they substitute for the human touch? Human touch has a strong social component, and it is necessary for the correct development of newborns and the treatment of pathological situations. To substitute human touch, it is necessary to integrate robots with artificial intelligence as well as with sensors that mimic human skin. Today, the question remains without answer: Can human touch be substituted with AI in its social and affiliative components?
Collapse
Affiliation(s)
- Laura Clara Grandi
- Department of Biotechnology and Biosciences, NeuroMI (Milan Center of Neuroscience), University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
| | - Stefania Bruni
- Centro Cardinal Ferrari, Fontanellato, Via IV novembre 21, 43012 Fontanellato, Italy;
| |
Collapse
|
2
|
Ishikura T, Sato W, Takamatsu J, Yuguchi A, Cho SG, Ding M, Yoshikawa S, Ogasawara T. Delivery of pleasant stroke touch via robot in older adults. Front Psychol 2024; 14:1292178. [PMID: 38264418 PMCID: PMC10803411 DOI: 10.3389/fpsyg.2023.1292178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 12/11/2023] [Indexed: 01/25/2024] Open
Abstract
Touch care has clinically positive effects on older adults. Touch can be delivered using robots, addressing the lack of caregivers. A recent study of younger participants showed that stroke touch delivered via robot produced subjective and physiologically positive emotional responses similar to those evoked by human touch. However, whether robotic touch can elicit similar responses in older adults remains unknown. We investigated this topic by assessing subjective rating (valence and arousal) and physiological signals [corrugator and zygomatic electromyography (EMG) and skin conductance response (SCR)] to gentle stroking motions delivered to the backs of older participants by robot and human agents at two different speeds: 2.6 and 8.5 cm/s. Following the recent study, the participants were informed that only the robot strokes them. We compared the difference between the younger (their data from the previous study) and the older participants in their responses when the two agents (a robot and a human) stroked them. Subjectively, data from both younger and older participants showed that 8.5 cm/s stroking was more positive and arousing than 2.6 cm/s stroking for both human and robot agents. Physiologically, data from both younger and older participants showed that 8.5 cm/s stroking induced weaker corrugator EMG activity and stronger SCR activity than the 2.6 cm/s stroking for both agents. These results demonstrate that the overall patterns of the older groups responses were similar to those of the younger group, and suggest that robot-delivered stroke touch can elicit pleasant emotional responses in older adults.
Collapse
Affiliation(s)
- Tomoki Ishikura
- Robotics Laboratory, Division of Information Science, Nara Institute of Science and Technology, Ikoma, Japan
| | - Wataru Sato
- Psychological Process Research Team, Guardian Robot Project, RIKEN, Kyoto, Japan
| | - Jun Takamatsu
- Applied Robotics Research, Microsoft Corporation, Redmond, WA, United States
| | - Akishige Yuguchi
- Robotics Laboratory, Department of Medical and Robotic Engineering Design, Faculty of Advanced Engineering, Tokyo University of Science, Tokyo, Japan
- Knowledge Acquisition and Dialogue Research Team, Guardian Robot Project, RIKEN, Kyoto, Japan
| | - Sung-Gwi Cho
- Division of Electronic Engineering, School of Science and Engineering, Tokyo Denki University, Saitama, Japan
| | - Ming Ding
- Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
| | - Sakiko Yoshikawa
- Institute for Philosophy and Science of Art, Kyoto University of the Arts, Kyoto, Japan
| | - Tsukasa Ogasawara
- Robotics Laboratory, Division of Information Science, Nara Institute of Science and Technology, Ikoma, Japan
| |
Collapse
|