Related Experiment Video
Updated: Aug 5, 2026
07:14
Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
Published on: December 23, 2025
Generative AI versus human conversational agent for reducing procrastination: A randomized pilot trial
Severin Hennemann1,2, Julia M Fähnrich1, Cornelius Tietze1
1Department of Clinical Psychology, Psychotherapy and Experimental Psychopathology, University of Mainz, Mainz, Germany.
Digital Health
|July 28, 2026
Summary
Generative AI chatbots and human agents showed similar effectiveness for procrastination micro-interventions. Both approaches had comparable, high rates of unwanted effects, necessitating further research on AI mental health tool safety and efficacy.
Area of Science:
- Psychology
- Computer Science
- Mental Health
Background:
- Generative artificial intelligence (AI) chatbots are increasingly used in mental health, but evidence on their efficacy and safety is limited.
- This study explores AI chatbots as a cognitive behavioral micro-intervention for procrastination.
Purpose of the Study:
- To investigate the feasibility, efficacy, mechanisms, and adverse effects of a generative AI chatbot (ChatGPT-4) compared to a human conversational agent for procrastination.
- To assess the impact on procrastination, depression, anxiety, worry, and rumination.
Main Methods:
- A randomized pilot trial involving 62 university students.
- Participants received a three-session chat-based intervention with either ChatGPT-4 or a human agent.
- Outcomes were measured via questionnaires at baseline, post-intervention, and 6-month follow-up.
Main Results:
- No significant difference in procrastination reduction between the AI chatbot and human agent groups.
- Approximately 43.1% of participants reported unwanted negative effects, with no significant group difference.
- Common therapeutic factors were similar across groups and did not mediate procrastination changes.
Conclusions:
- Neither conversational agent demonstrated superiority, with comparable efficacy and high rates of adverse effects.
- Further research with larger, clinically relevant samples is required to establish the safety and efficacy of AI-based micro-interventions in mental health.
Related Concept Videos
01:13Randomized Experiments
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
01:14Avoidance Learning and Learned Helplessness
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
01:25Motivational Bias
Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...
01:28Automatic Processing and Automatic Social Behavior
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
01:14Decision Making: Traditional Method
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...