Researchers have reported that companion robots have had positive effects on older adults with depression.
However, there has been little quantitative analysis on the relationship between robot design and depression. To address this, we
surveyed 191 older adults and investigated the impact of age, gender and depression level on design preferences for companion
robots. We focused on toy-sized companion robots and evaluated three design elements: type, weight and material. The findings show
that baby-type robots were the most preferred by older adults. They favoured the lightest weights and microfibre materials,
regardless of the independent variables. Moreover, robot weight preferences varied significantly with the level of depression.
Highly depressed older adults disliked heavy robots. These preliminary findings suggest that companion robots need to be designed
with careful consideration of their physical characteristics and potential psychological effects.
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Cited by (5)
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2024. Design Attributes of Socially Assistive Robots for People with Dementia: A Systematic Review. International Journal of Social Robotics 16:2 ► pp. 415 ff.
Kwon, Ju Yeong & Da Young Ju
2023. Living Lab-Based Service Interaction Design for a Companion Robot for Seniors in South Korea. Biomimetics 8:8 ► pp. 609 ff.
Sun, Wei
2022. The research and implementation feasibility analysis of an intelligent robot for simulating navigational English dialogue under the background of artificial intelligence. Computer Science and Information Systems 19:3 ► pp. 1533 ff.
2022. Usability Design of Human-Machine Interaction Interface of Child Companion Robot in Wireless Network. Scientific Programming 2022 ► pp. 1 ff.
Oh, Young Hoon & Da Young Ju
2020. Age-Related Differences in Fixation Pattern on a Companion Robot. Sensors 20:13 ► pp. 3807 ff.
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