Supervisors
- Position
- Associate Professor / Master of Business Administration (MBA) Director
- Division / Faculty
- Faculty of Business & Law
- Position
- Associate Professor
- Division / Faculty
- Faculty of Business & Law
Overview
Generative Artificial Intelligence (GenAI) tools such as chatbots and AI companions are increasingly positioned as accessible forms of mental health support. However, user engagement with these services depends heavily on trust, particularly in contexts characterised by vulnerability, stigma, and emotional risk. Trust in mental healthcare differs from trust in other service settings, raising important questions for marketing and service researchers.
This project investigates how trust is formed and evaluated in GenAI‑supported mental health services from a consumer and service marketing perspective. It examines the role of service attributes such as transparency, empathy cues, perceived competence, and human oversight in shaping trust and continued use. The project aims to advance understanding of trust in AI‑mediated wellbeing services and generate insights for the responsible design and communication of AI mental health offerings.
Research activities
Indicative research questions
- How do consumers form trust in GenAI mental health services?
- Which service attributes most strongly influence perceived trustworthiness?
- How does trust in GenAI services compare with trust in human‑delivered or hybrid care?
Indicative research methods
- Qualitative interviews
- Surveys
- Experiments
- Mixed‑method designs.
Skills and experience
This project is ideal for a candidate with strong research skills and academic writing.
Keywords
Contact
Contact the supervisor for more information