In sum, current interaction modalities promise easy initial access for a large share of the population. However, the
lack of guidance could easily frustrate users with little knowledge of prompting, restricting effective use beyond simple
tasks. Here, our analyses of adoption barriers and typical scenarios for novices and proficient users can inform the
design of more widely accessible interfaces, e.g., specialized interfaces that provide more guidance for a given task.

3 METHOD
We conducted an online survey to assess socio-demographic characteristics related to LLM usage. We also collect typical
usage scenarios and reasons for not using LLMs. The procedure was reviewed and approved by the local ethics committee.
The measures and data set are available on OSF: https://osf.io/bdn9p/?view_only=1a44dfd53cc1442a87bfc3f49560b112.

3

Manuscript submitted to ACM, 2023,

Draxler et al.
Adoptionand AppropriationofLLMs