From needs assessment to usability testing: evaluating the AinoAid™ chatbot for domestic violence support

Our evaluation confirms that the AI chatbot AinoAid™ functions as a safe, accessible, and effective gateway to protection and support for DV survivors. Its perceived great strength, its impartiality due to its non-human nature, presents, on the other hand, also a significant challenge in meeting the high expectations for human-like, empathetic, and dynamic conversations in such a sensitive context. However, we anticipate that sustained usage and continuous training will even further enhance the AI ability to fully meet the evolving needs of domestic violence survivors.

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Publication Details

Journal
BMC Women s Health
Published
2025-12-12
DOI
https://doi.org/10.1186/s12905-025-04202-3
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

From needs assessment to usability testing: evaluating the AinoAid™ chatbot for domestic violence support

Margarita Vassileva, Catharina Vogt, Ainhoa Izaguirre Choperena, A.-K. Juusela et al.
BMC Women s Health
AI in Service Interactions
article

From needs assessment to usability testing: evaluating the AinoAid™ chatbot for domestic violence support

Margarita Vassileva, Catharina Vogt, Ainhoa Izaguirre Choperena, A.-K. Juusela, Jarmo Houtsonen, Stefanie Giljohann, Natalie Köpsel, Sandra González Cabezas, Emanuel Tananau Blumenschein
article en

Abstract

Our evaluation confirms that the AI chatbot AinoAid™ functions as a safe, accessible, and effective gateway to protection and support for DV survivors. Its perceived great strength, its impartiality due to its non-human nature, presents, on the other hand, also a significant challenge in meeting the high expectations for human-like, empathetic, and dynamic conversations in such a sensitive context. However, we anticipate that sustained usage and continuous training will even further enhance the AI ability to fully meet the evolving needs of domestic violence survivors.

BMC Women s HealthVol. 26(1)
Universidad de Deusto (ES), University of Münster (DE), Police University College (FI), Centre National pour la Recherche Scientifique et Technique (CNRST) (MA), German Police University (DE), Asociación para la Conservación de la Cuenca Amazónica (PE), University Hospital Münster (DE), Laboratoire Pacte (FR), Wolfgang Pauli Institute (AT), AFRY (Finland) (FI)
Openalex Percentile: Top 79%
AI in Service Interactions
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