Qualitative Data and Analysis

This dataset contains qualitative and some quantitative data generated in a between-subjects experimental study (N = 139) examining the effects of explainable AI (XAI) on trust, usability, perceived task load, and collaborative task performance in a cybersecurity context. The study focused on malicious domain blocking and involved participants with cybersecurity domain knowledge interacting with an AI-based decision-support system. The qualitative data originate from open-ended responses collected in the experiment, capturing participants’ reflections on how they used explanations during decision-making. These data were analyzed using thematic analysis coding methods. The coding was conducted by Neele Roch and Hannah Sievers using MAXQDA. The dataset includes the complete codebook and all coded text segments. All materials have been fully anonymized. Due to the sensitive nature of qualitative responses, access to this dataset is restricted.