(University of Michigan) The data was collected from a survey study using Qualtrics. In this between-subject experimental vignette study, we aimed to investigate the impact of introducing a chatbot with varying levels of transparency and different framings (intelligent entity vs. machine) on participants’ perceptions of social chatbots. We presented participants with identical conversation exchanges between a hypothetical user (Casey) and a chatbot (Neo) and asked them to complete a subsequent survey.
Link to Dataset
Data on the effects of transparency on people’s perceptions of social AI
Date last updated: July 28, 2023