Table 1 Overview of the stimuli for the five experiments

From: Incorporating social knowledge structures into computational models

Experiment

Stimuli

n Factors

Profiles

n Profiles

Scale

n Trials

1 (Original)

60 traits

5

Real (Online)

4

1–8

240

2 (Constructed Profiles)

60 traits

2

Constructed

4

1–8

240

3 (Two Factors)

60 traits

2

Real (Online)

4

1–8

240

4 (Fashion Models)

60 traits

5

Real (Fashion)

4

1–8

240

5 (IPIP items)

50 IPIP items

5

Real (IPIP)

5

1–5

250

  1. In Experiments 1–4, we used personality adjectives (i.e., trait words such as generous, diligent; see Supplementary Table 1 for Experiments 1 & 4 and Supplementary Table 2 for Experiments 2 & 3). Sixty adjectives were presented per profile (i.e., for each of the four people about which participants learned). We used traits from all five factors of the Big-Five or traits from only two factors (i.e., agreeableness and conscientiousness). In Experiment 5, for each of the five profiles, participants saw 50 items from the German translation of the IPIP (International Personality Item Pool, which consists of lexical Big-Five factor markers; see Supplementary Table 3). Profiles for Experiments 1 were selected from self-ratings of people from an unrelated sample of a previous lab study (Korn et al., 2012). Profiles for Experiment 2 were constructed by specifying the mean for the two factors and randomly adding noise according to a specified SD. Profiles for Experiment 3 were selected from the self-ratings of participants in Experiment 2. Profiles for Experiment 4 were selected from self-ratings given by a group of female fashion models for a related online study. All four selected persons have worked internationally as fashion models for several years. Profiles for Experiment 5 were selected from self-ratings of a large online dataset on the IPIP with over 1 million participants (Open Source Psychometrics Project; https://openpsychometrics.org/). We selected five profiles with average ratings on 4 out of the 5 factors (mean within 1 SD) but divergent scores on the remaining factor (mean above 1 SD). That is, each profile was divergent on another factor.
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