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Promoting Healthy Aging Using a Robot Support System and Emotion Recognition.

Oliver Jung¹, Eva Hollauf¹, Veronika Hornung-Prähauser¹

¹Salzburg Research Forschungsgesellschaft mbH, Salzburg, Austria.

Studies in Health Technology and Informatics

|May 12, 2023

Summary

This study introduces a robot platform for personalized well-being suggestions to combat challenges faced by the aging population, such as loneliness and mobility issues. User-centered design and prototype testing highlight emotion recognition

Keywords:

Behavior Change Techniques Facial Emotion Recognition Internet-Based Intervention Socially Assistive Robots

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Area of Science:

Gerontology
Human-Computer Interaction
Robotics

Background:

The aging population experiences increasing social isolation, reduced mobility, and complex medical needs.
Personalized interventions are crucial for enhancing well-being in older adults.
Existing technological solutions often lack user-centered design for elderly populations.

Purpose of the Study:

To develop and evaluate a robot platform providing personalized behavior change suggestions for elderly well-being.
To address challenges of loneliness, mobility, and medical conditions in aging individuals.
To explore the utility of emotion recognition in a robotic companion for older adults.

Main Methods:

User-centered design methodology, including surveys and focus groups.
Development of a prototype robot platform.
Evaluation of the system's potential for individuals with special social needs.
Analysis of technical results, focusing on emotion recognition metrics (attention, valence).

Main Results:

Emotion recognition, particularly attention and valence, shows promise for personalized interventions.
User acceptance and the quality of facial and speech analysis for elderly users present significant challenges.
The user-centered approach informed the development of the robot platform.

Conclusions:

Robot platforms can offer personalized support for aging populations.
Further research is needed to improve user acceptance and the technical performance of emotion recognition for the elderly.
Addressing "special social needs" through technology requires careful consideration of user-specific factors.