Effects of Virtual Assistant Features on User Experience in Service Settings

This study examines how the characteristics and performance of virtual assistants influence user experience in service settings. Approximately 400 adults will interact with virtual assistants presented as avatars, chatbots, or voice assistants in simulated tourism, cultural, retail, or financial service situations.

Participants will be exposed to one or more experimental conditions that may differ in features such as communication style, language specificity, anthropomorphism, personalization, type of virtual assistant, level of immersion, or the presence of inaccurate responses or errors. After the interaction, participants will complete questionnaires about their perceptions, emotions, trust, satisfaction, acceptance of recommendations, and intention to use the virtual assistant.

During the experimental session, non-invasive methods may be used to measure visual attention and psychophysiological responses. These methods include eye tracking, electrodermal activity, electroencephalography, and automated facial expression analysis. Facial recordings will be used to analyze emotional expressions and will not be used to identify participants.

The study does not involve drugs, biological products, medical treatments, diagnostic procedures, or investigational medical devices. Its purpose is to improve scientific understanding of human interaction with artificial intelligence and virtual assistants in service environments.