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E.C.S. de Groot

8 records found

Experience Sampling Method (ESM) has emerged as a technique for capturing real-time mental health data in natural environments, offering advantages over traditional retrospective assessments by reducing recall bias and providing contextual understanding of emotional patterns. Des ...

Do Privacy Policies Matter? Investigating Self-Disclosure in Mental Health Chatbots

A User Study on the Importance of Privacy and Question Sensitivity in Mental Health Chatbots

Mental health chatbots are increasingly adopted to address shortage mental health services, by offering non-judgmental, always-available support. User self-disclosure is a critical factor which allows mental health chatbots to better understand users and provide more therapeutic ...
Understanding mental resilience-how individuals recover from stressors-is a critical focus area for mental health practitioners. To support this, the Experience Sampling Method (ESM) can be utilized, which offers rich, real-time data for tracking emotional dynamics. However, visu ...

Talking Like a Human: How Conversational Anthropomorphism Affects Self-Disclosure to Mental Health Chatbots

An Experimental Study on Human-like Chatbot Design and Question Sensitivity in Mental Health Contexts

AI-powered mental health chatbots offer scalable and accessible support, but their effectiveness hinges on users’ willingness to self-disclose—an outcome shaped by chatbot communication style and the sensitivity of the topic. While prior work has explored empathy and rapport, the ...

Designing Mental Health Chatbots

The Impact of Self-Disclosure Techniques on the User Disclosure

As mental health issues continue to rise around the world, AI chatbots are becoming a promising way to provide accessible and scalable support. This study explores how different levels of chatbot self-disclosure affect users’ willingness to share personal information in a mental ...
This study investigates whether empathetic language in chatbot interactions influences users’ willingness to disclose mental health-related information. Using a two-by-two mixed factorial design, 114 participants were assigned to either an empathetic or neutral chatbot condition ...

Visualizing Self-Report Data for Clinical Insight

Practitioner Perspectives on ESM Feedback for Assessing Therapy Effectiveness

Background: The Experience Sampling Method (ESM) enables the collection of momentary self-reports on thoughts, emotions, and behaviour in daily life. However, there is limited practical guidance on how to visualize this data to support practitioners.
Objective:
The Experience Sampling Method (ESM) is increasingly recognized for its ability to capture fine-grained, real-time insights into individuals’ emotional and behavioral states in their everyday environments. While the utility of ESM in clinical contexts has been well-documented, it ...