Indeed, when being allowed to leave, fatigued individuals disengaged earlier than the control group and performed worse on the task (up to 1h of Stroop task: 2,400 trials).

This gives me another error. Do I maybe need to download something or misunderstood something at the core of the whole thing?

adding dim_name = FALSE gave me the following:

Ok, I guess I’m outing myself as full beginner… should I add a step before running the example? I tested it with different text and wouldn’t be aware of any embeddings so far, but the error persists.

Downloading Java helped! I then tried to run the example from the vignette but had the next error. But maybe I also misunderstood the example here!

I mean, chances that this is a big mistake in my side are very high. I also checked the guide, but I’m afraid I don’t even know what my mistake is🙃

🎭Further, we observed that the AI using person was judged as much less deserving of the tasks outcome (d ~ 1.70).

Further consequences of AI usage on interpersonal judgment:

👎Similiar effects were found for coopertion partner attactiveness

In comparison with a person who didnt use AI to complete a task, the person who used AI was the much less attractive cooperation partner in a future task (d ~ 1.27).

Across 4 studies in 3 countries (Belgium, US, UK, N = 1219), we tested whether the use of generative AI for a task decreases the perceived effort of the task and hence lowers the moral judgment of the user. Indeed, the effect was very large (d = 1.64) and a function of perceived effort.

Further, we made sure to strongly fatigue our experimental group (d = 0.83):

Participants were either severely fatigued (1 hour of adaptive tasks) or not and then everyone worked on a second task for up to an hour but could disengage at any point. This allowed us to observe meaningful differences in task persistence and performance.

Last, we report on downstream consequences, showing that patients, using GLP-1 as addendum to their weight loss are seen as less deserving of their weight loss and participants rated them as being less favourable as cooperation partners.

Further, we observed that the effect is a function of perceived effort differences between patients. The stronger the difference in perceived effort was, the larger also the difference in moral character judgment.

We observed a large effect across studies, rating individuals who use GLP-1 for weight loss together with lifestyle changes as lower in moral character, compared to individuals, using only "traditional methods" (diet and exercise habits).

Yet, nothing like this was observed, showing that the strength of the effect is completely independent of age in our data. Hence, effort is moralized equally across the age span and todays youths effort aversion is likely the same legend as in prior centuries.

Indeed, the effect was found across moral dimensions and countries, eventhough it was smaller than the target effects in most cases.