Calculated values correspond to values in Fig. 2a (AMCE calculated using conjoint analysis). For example, ‘Sparing Pedestrians [Relation to AV]’ refers to the difference between the probability of sparing pedestrians, and the probability of sparing passengers (attribute name: Relation to AV), aggregated over all other attributes. Error bars represent 95% confidence intervals of the means. a, Validation of textual description (seen versus not seen). By default, respondents see only the visual representation of a scenario. Interpretation of what type of characters they represent (for example, female doctor) may not be obvious. Optionally, respondents can read a textual description of the scenario by clicking on ‘see description’. This panel shows that direction and (except in one case) order of effect estimates remain stable. The magnitude of the effects increases for respondents who read the textual descriptions, which means that the effects reported in Fig. 2a were not overestimated because of visual ambiguity. b, Validation of device used (desktop versus mobile). Direction and order of effect estimates remain stable regardless of whether respondents used desktop or mobile devices when completing the task. c, Validation of data set (all data versus full first-session data versus survey-only data). Direction and order of effect estimates remain stable regardless of whether the data used in analysis are all data, data restricted to only first completed (13-scenario) session by any user, or data restricted to completed sessions after which the demographic survey was taken. First completed session by any user is an interesting subset of the data because respondents had not seen their summary of results yet, and respondents ended up completing the session. Survey-only data are also interesting given that the conclusions about individual variations in the main paper and from Extended Data Fig. 3 and Extended Data Table 1 are drawn from this subset. See Supplementary Information for more details.