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The Multimodal Assessment of Adult Attachment Security: Developing the Biometric Attachment Test.
Federico Parra1,2, Raphaële Miljkovitch2, Gwenaelle Persiaux3
1Institute for Creative Technologies, University of Southern California, Los Angeles, CA, United States.
Journal of Medical Internet Research
|April 8, 2017
Summary
This study introduces the Biometric Attachment Test (BAT), an automated tool measuring adult attachment security using psychophysiological, behavioral, and linguistic data. The BAT shows promise in objectively assessing attachment styles and validating stimuli themes.
Area of Science:
- Psychology
- Computer Science
- Psychometrics
Background:
- Attachment theory is crucial for understanding mental health, psychopathology, and relationships.
- Traditional psychometric instruments for attachment have limitations.
- Multimodal fusion and machine learning enable new objective assessments of adult attachment.
Purpose of the Study:
- Introduce the Biometric Attachment Test (BAT), an automated, objective adult attachment assessment.
- Validate the BAT's ability to measure attachment security.
- Assess the viability of using thematic placeholders for rotating stimuli in the BAT.
Main Methods:
- 59 participants underwent assessment using established attachment measures (AAQ, AAP, AMMI).
- Participants were exposed to standardized visual and music stimuli within the BAT.
- Facial expressions, voice, heart rate, and electrodermal activity were recorded and analyzed for psychophysiological, behavioral, and linguistic features.
Main Results:
- 46 theory-consistent correlations were found between attachment security measures and specific features.
- Attachment security correlated with positive facial expressions and inversely with anger expressions.
- A composite effects index derived from the BAT correlated significantly with established attachment security measures (AAP, AAQ).
Conclusions:
- The Biometric Attachment Test (BAT) demonstrates capacity for measuring adult attachment security.
- The use of thematic placeholders for stimuli in the BAT is viable.
- Further validation and algorithm development for the BAT are warranted.
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