This dataset consists of references of collected papers for a literature study on conversational agents and trust. The papers included were analyzed and coded. The following data was extracted from these papers: Paper Title, Authors, Publication year, Journal, Discipline, Abstract, DOI, Author keywords, Methodology, Trust definition, Trust Operationalisation and Source of Trust Operationalisation.

This dataset was collected to get an overview of how Trust has been defined and measured when it comes to Conversational Agents.

To identify relevant papers, a search strategy based on CA-related keywords was developed. Using the keyword ‘trust’ was sufficient to capture variations of the term in the search results (e.g., ‘trustworthy’). Only papers published between 2015 and 2023 were included, sourced from databases such as Web of Science, Wiley, Elicit, IEEE, ACM, Tandfonline, Ebscohost, and the HU University of Applied Sciences Utrecht digital library. In total, 1,240 papers were initially retrieved. After removing duplicates, 1,094 papers remained. Next, papers that did not focus on Trust and Conversational Agents (chatbots, assistants etc.) were excluded. The final dataset consists of 74 papers.

Data collection took place from November 2022 to November 2023.

With this dataset, a Jupyter Notebook is (will be) included used to analyse the data.