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Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

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Stefan Stieger¹, Anja S Göritz

¹Core Unit for Medical Education, Medical University of Vienna, Vienna, Austria. stefan.stieger@meduniwien.ac.at

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Area of Science:

Social Sciences
Communication Studies
Internet Research

Background:

Online data collection methods are evolving.
One-on-one interviews are underutilized online.
Instant messaging (IM) is a prevalent internet service.

Purpose of the Study:

To assess the feasibility of using instant messaging (IM) for scientific one-on-one interviews.
To evaluate data quality and response rates in IM interviews.
To explore the utility of IM address books for sampling and data validation.

Main Methods:

Conducted a WWW survey and actual IM interviews.
Included experimental manipulation of participation requests.
Validated respondent data using IM address books and self-reports.

Main Results:

The risk of false data in IM interviews is minimal.
Data quality, contact, response, and retention rates were satisfactory.
Response rates were significantly influenced by the content of the participation request.

Conclusions:

Instant messaging (IM) is a feasible and effective method for online scientific interviews.
IM interviews provide reliable data comparable to traditional methods.
Recommendations are provided for optimizing IM interview methodology.