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http://dx.doi.org/10.14400/JDC.2021.19.10.469

Text-Mining Analysis on the Interaction between the American Consumers Aged over 60 and Companion Pets Robots: Focused on Amazon Reviews for Joy For All Companion Pets  

Chung, Yea-Eun (Department of Consumer Science / Convergence Program for Social Innovation, SungKyunKwan University)
Lee, Yu Lim (Department of Consumer Science, SungKyunKwan University)
Chung, Jae-Eun (Department of Consumer Science / Convergence Program for Social Innovation, SungKyunKwan University)
Publication Information
Journal of Digital Convergence / v.19, no.10, 2021 , pp. 469-489 More about this Journal
Abstract
This study explores consumers' responses to socially assistive robotics by using text-mining method focusing on Companion Pets from Hasbro as it gives emotional support. We conducted text frequency analysis, LDA analysis using R programming. The key findings are 1)the most frequently used words the mimicry of living pets and the appearance of companion pets, 2)the five topics were derived from the LDA analysis and classified keywords in each topic split between positive and negative, 3)user, product, environment affect the interaction between consumer and companion pets, 4)consumers who have difficulty in cognition and physical conditions use companion pets to replace living pets. This study provides an understanding of consumer responses in companion pets and gives practical implications that may improve the efficacy of usage for consumers and understand the companion robot, which provides emotional support in COVID-19.
Keywords
Socially Assistive Robotics; Companion robots; Elderly; User-Companion robot Interaction; Topic modeling;
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