a. GLMM table for the main effects of resemblance, quality and simulatability, and the interaction between (resemblance × simulatability), on social acceptance.

The Effects column denotes main effects on the dependent variable (DV) and interactions (denoted by × marks). The upper part of the table gives results for the ‘ignore’ versus ‘non-ignore’ responses based on the total sample; the lower part for ‘inclusion’ versus ‘non-inclusion’ responses based on the sample in which ‘ignore’ responses were discarded. The χ2 statistic is calculated from type III Wald’s chi-sqaured test between the full model and a model with corresponding variables being restricted. Note: response/n = the ratio between the number of the corresponding DV responses and the total sample; b = coefficient of the corresponding variable; SE = the standard deviations of the corresponding coefficient; resemblance or res. = human resemblance; quality = essentialized human quality; sim. = simulatability; † p p ** p .01, *** p resemblance, quality and simulatability, and the interaction between (resemblance × simulatability), on social acceptance. The Effects column denotes main effects on the dependent variable (DV) and interactions (denoted by × marks). The three columns to the right of the Effects column indicate the group of robots included in the test. The upper part of the table gives results for the ‘ignore’ versus ‘non-ignore’ responses based on the total sample; the lower part for ‘inclusion’ versus ‘non-inclusion’ responses based on the sample in which ‘ignore’ responses were discarded. The χ2 statistic is calculated from type III Wald’s chi-sqaured test between the full model and a model with corresponding variables being restricted. Note: response/n = the ratio between the number of the corresponding DV responses and the total sample; b = coefficient of the corresponding variable; SE = the standard deviations of the corresponding coefficient; resemblance or res. = human resemblance; quality = essentialized human quality; sim. = simulatability; SIM = simulatable; † p p ** p .01, *** p