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A care robot with mental recovery services and ethical sensing sy | 61301
Journal of Psychology & Psychotherapy

Journal of Psychology & Psychotherapy
Open Access

ISSN: 2161-0487

+44 1478 350008

A care robot with mental recovery services and ethical sensing system for older adults at home


10th Annual Congress on Mental Health

March 09, 2023 | Webinar

Jong-Wook Kim

Dong-A University, South Korea

Scientific Tracks Abstracts: J Psychol Psychother

Abstract :

Many studies have explored emotional and mental services that robots can provide for older adults, such as offering them daily conversation, news, music, or health information. But, the ethical issues raised by using sensors for frail older adults to monitor their daily movements or their medication intake, for instance, are still being discussed. In this study, we develop an older adult-guided, caregiver-monitored robot, Dori, which can detect and recognize movement by sensing human poses in accordance with two factors from the human-centered artificial intelligence (HCAI) framework. To design the care robot’s services based on sensing movement during daily activities, we conducted focus group interviews with two groups—caregivers and medical staff—on the topic of care robot services not for patients but for prefrail and frail elderly individuals living at home. Based on their responses, we derived the focal service areas of cognitive support, emotional support, physical activity support, medication management, and caregiver management. We also found the two groups differed in their ethical judgments in the areas of dignity, autonomy, controllability, and privacy for services utilizing sensing by care robots. Therefore, the pose recognition technology adopted in the present work uses only joint coordinate information extracted from camera images and thus is advantageous for protecting human dignity and personal information. This study proposes a human motion recognition method employing skeleton landmark detection of MediaPipe Pose (MPP), a humanoid model suited to natural human pose, and a fast global optimization method called uDEAS (univariate Dynamic Encoding Algorithm for Searches).

Biography :

Prof. Jong-Wook Kim received the B.S., M.S., and Ph.D. degrees from the department of electronics and electrical engineering at Pohang University of science and technology (POSTECH), Pohang, Korea, in 1998, 2000, and 2004, respectively. Currently, he is professor in the department of electronic engineering at Dong-A University, Busan, Korea. His research interests include numerical optimization methods, humanoid robotics, artificial intelligence, robot ethics, and intelligent control.

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