Dataset for: "Just tell the robot what to do! Natural Language End-User Robot Programming Using Large Language Models"

Anonymized dataset containing questionnaire responses collected from participants in the study “Just tell the robot what to do! Natural Language End-User Robot Programming Using Large Language Models”. The "common.csv" file contains participants' responses for the questionnaires used to answer RQ1, RQ2, RQ3 (see paper). The "experiment_data_annotated.csv" includes data annotated by the proctor in real-time during the experiment. It includes metrics for each participants such as time completion, approach chosen to solve the task (Combined or Phased), error occurrences by categorization (user generated vs system generated ) and hand-written notes from the proctor to provide additional description and comments about errors' causes. This table was used to answer RQ4 and RQ5. The "participants_scenarios.csv" is the database generated automatically during the experiment. It includes all scenarios genereated by the LLM for each participant along with the associated prompt. The table includes additional information such as partcipant IDs, session IDs and interaction timestamps. This database was analyzed to present the qualitative analysis in the paper. For more details, please refer to our paper: (a link will be provided once available).