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Preferences and Expectations for Home Robot Tasks: Comparison According to Age and Household Type in Republic of Koreaoa mark
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Publication Year
2024-11-01
Journal
Behavioral Sciences
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Behavioral Sciences, Vol.14 No.11
Keyword
comparison by age groupcomparison by household typehome robot tasksocial status of home robotwillingness to use
All Science Classification Codes (ASJC)
Ecology, Evolution, Behavior and SystematicsDevelopmentGeneticsPsychology (all)Behavioral Neuroscience
Abstract
Most studies of consumer preferences and expectations for home robots focus on either older adults or single-person households (SPHs). However, with the rise in voluntary SPHs among young adults and seniors, it is critical to compare both age and household types in robot research. This study explored perceptions of home robots and willingness to use their features based on age and household type, in the context of the expanding home robot market in Republic of Korea. An online survey of 400 individuals was conducted, targeting young SPHs and multi-person households (MPHs) in their 20s and 30s as well as older SPHs and MPHs in their 50s and 60s. The survey covered four robot task categories, with 40 items derived from previous research: household chores (20 items), personal care (seven items), leisure/companion (nine items), and health (four items). The results helped predict the main target groups for each in-home robot task by identifying items that showed differences in responses between groups and interpreting these based on age, household type, and their combination. The study provides valuable data on consumer expectations, highlighting differences in responses according to both age and household type, offering insights for the robotics industry to effectively target their products.
ISSN
2076-328X
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38089
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85210164894&origin=inward
DOI
https://doi.org/10.3390/bs14111070
Journal URL
www.mdpi.com/journal/behavsci
Type
Article
Funding
This work was supported by the Ewha Womans University Research Grant of 2023.
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Kim, Minjun Image
Kim, Minjun김민준
Department of Industrial Engineering
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