Smart Device Robot Diary System

This paper presents the development of a mobile diary application in conjunction with a robotics-based smart device. This system was designed to address the challenges faced by elderly individuals, such as loneliness and social isolation, which can result from low self-efficacy. The app comprises a graphical user interface, an experience extraction model, a self-growing memory agent, a chat agent, and a feedback interactive. The latter processes diary entries from elderly users, generating empathic responses based on successful experiences that match the individual's capabilities. This is done while learning and adapting to their behavioral patterns and emotional states. By recognizing the user's emotions and history of human-like interactions, and by integrating user feedback, the system aims to motivate the behavior of elderly people, thereby increasing their self-efficacy and improving their overall well-being.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icmlc63072.2024.10935264
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Smart Device Robot Diary System

Akihiro Yorita, Kazuki Tainaka, Naoyuki Kubota, Yuchen Guo et al.
Robotics and Automated Systems
article

Smart Device Robot Diary System

Akihiro Yorita, Kazuki Tainaka, Naoyuki Kubota, Yuchen Guo, Mahiro Takano, Kunikazu Hamada
article en

Abstract

This paper presents the development of a mobile diary application in conjunction with a robotics-based smart device. This system was designed to address the challenges faced by elderly individuals, such as loneliness and social isolation, which can result from low self-efficacy. The app comprises a graphical user interface, an experience extraction model, a self-growing memory agent, a chat agent, and a feedback interactive. The latter processes diary entries from elderly users, generating empathic responses based on successful experiences that match the individual's capabilities. This is done while learning and adapting to their behavioral patterns and emotional states. By recognizing the user's emotions and history of human-like interactions, and by integrating user feedback, the system aims to motivate the behavior of elderly people, thereby increasing their self-efficacy and improving their overall well-being.

Daiichi Institute of Technology (JP), Tokyo Metropolitan University (JP)
Japan Science and Technology Agency
Openalex Percentile: Top 64%
Robotics and Automated Systems
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Smart Device Robot Diary System — Akihiro Yorita, Kazuki Tainaka, et al. · (2024) | TGRS Research Map | TGRS