Validating Social Service Robot Interaction Trust (SSRIT) Scale in Measuring Consumers’ Trust Toward Interaction With Artificially Intelligent (AI) Social Robots With a Chinese Sample of Adults
Jie Cai, Xurong Fu, Zirui Gu, Rongxiu Wu
Abstract
Research on consumers’ trust toward interaction with Artificially Intelligent (AI) social robots in service delivery has gained much more interest due to the outbreak of COVID-19 pandemic. However, this topic has not been widely invesgiated in China. To provide a psychometrically sound instrument in diverse cultural contexts, this study was to validate a scale of Social Service Robot Interaction Trust (SSRIT) that measures consumers’ trust toward interaction with AI social robots in service delivery in a Chinese sample of adults. The results showed that the Chinese version of the SSRIT was validated with reliability and validity, suggesting that the Chinese version of the SSRIT could be used as an effective tool to assess trust in AI social robots in service delivery within the Chinese context. The implications of the findings were also discussed.