More AI, Fewer Violations? The Role of AI Gaze and Human-like Voice in Reducing Unethical Behavior within Cobotic Service Teams-original data
Description
The data for this study were collected from the Chinese online data collection platform Credamo (https://www.credamo.com/). The dataset comprises four sheets (Sheet 1 to Sheet 4), which correspond to Study 1 through Study 4, respectively. In each sheet, columns A to H (ranging from User ID to Device Type) contain the basic demographic and response‑session information of the participants. The cells highlighted in yellow represent the core variables used in the main analyses of this paper. The key variable labels are defined as follows: Group (High vs. Low AI Usage) – indicates whether a participant was assigned to the high‑AI‑usage condition or the low‑AI‑usage condition. AI_Use_Degree – the measured degree of AI usage. MA – moral awareness. UnethBehav – users’ unethical behavior. average_ – the mean score of the corresponding multi‑item scale. Z() – standardized (z‑scored) variables. int – the interaction term between the independent variable and the moderator.