Dataset on Public Preference for Utilitarian Decision-Making by AI in Moral Dilemmas

The datasets were structured in wide format for repeated-measures designs. The primary analysis involved repeated-measures ANOVAs. In Study 1, correlation analyses were also conducted.

In Study 2, paired-sample t-tests were used to evaluate anxiety-related materials, and independent-sample t-tests were employed to verify the effectiveness of the anxiety induction manipulation.In the dataset of Experiment 1, Human-Utilitarian, Human-Deontological, Robot-Utilitarian, and Robot-Deontological conditions were used for repeated-measures ANOVA, with the Oxford Utilitarianism Score, robot anxiety, robot acceptance, and robot anthropomorphism being scale scores, along with the computed "Utilitarian Human-mAI" and "Deontological Human-mAI" representing the rating differences between humans and robots under utilitarian and deontological decision-making conditions for assessing interaction effect sizes.In the dataset of Experiment 2, Human-Utilitarian, Human-Deontological, Robot-Utilitarian, and Robot-Deontological conditions were used for repeated-measures ANOVA, with Group referring to the anxiety induction group and the control group (non-anxiety induction group), while anxiety level and anxiety cause were self-reported by participants after reading anxiety/non-anxiety induction materials.Anxiety Material Evaluation Dataset, where A represents anxiety material items and U represents non-anxiety material items.

The anxiety material score is calculated as the mean of anxiety material items, while the non-anxiety material score is calculated as the mean of non-anxiety material items.