User Perceptions, Experiences and Interactions with Municipalities’ Chatbots Differing in Human Likeness and Interaction Design

Municipalities are increasingly implementing chatbots as a part of their digital service provision. The extent to which users embrace the chatbot plays a role in determining the success of this implemen- tation. Multiple factors play a role in users’ perceptions, experiences, and interactions with chatbots, such as the human likeness (e.g., avatar, name, and communication style) and interaction design (e.g., free text versus buttons). This project examines how users perceive and interact with Dutch municipality chatbots. A unique feature of the project is that users interact with multiple Dutch municipal chatbots that differ in terms of humanlikeness and interaction designs. A mixed-methods ap- proach is adopted encompassing both a qualitative interview study and a content analysis. The project is expected to have key implications for theory and practice on municipality chatbots

A good tennis player does not lose matches. The effects of valence congruency in processing stance-argument pairs

Data of three studies reported in the above manuscript. All datafiles are provided in MLWIN/WSZ-format and in SPSS-file (Dataverse does not support MLWIN/WSZ-files but the data were analyzed in this program rather than in SPSS). For each study (1, 2, 3) two datafiles are uploaded, one for the accuracy scores and one for the reaction times. An Excel-file with information about the stimulus materials (e.g., word frequency of the manipulated words) has also been uploaded