The Multimodal Assessment of Adult Attachment Security: Developing the Biometric Attachment Test

Journals

1. Calvo R, Dinakar K, Picard R, Christensen H, Torous J. Toward Impactful Collaborations on Computing and Mental Health. Journal of Medical Internet Research 2018;20(2):e49 View
2. Menghini L, Gianfranchi E, Cellini N, Patron E, Tagliabue M, Sarlo M. Stressing the accuracy: Wrist‐worn wearable sensor validation over different conditions. Psychophysiology 2019;56(11) View
3. Herrero-Fernández D, Redondo I, Parada-Fernández P, Oliva-Macías M, Rohwer H. Distal predictors of trait driving anger. The influence of attachment styles through the mediation effect of general anger and self-esteem. Transportation Research Part F: Traffic Psychology and Behaviour 2020;73:382 View
4. Ostovar S, Griffiths M, Raeisi T, Hashim I. Path Analysis of the Relationship Between Optimism, Humor, Affectivity, and Marital Satisfaction Among Infertile Couples. International Journal of Mental Health and Addiction 2023;21(1):200 View
5. Ahonen L, Cowley B, Hellas A, Puolamäki K. Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment. Scientific Reports 2018;8(1) View
6. Panwar S, Rad P, Choo K, Roopaei M. Are you emotional or depressed? Learning about your emotional state from your music using machine learning. The Journal of Supercomputing 2019;75(6):2986 View
7. Schröder M, Lüdtke J, Fux E, Izat Y, Bolten M, Gloger-Tippelt G, Suess G, Schmid M. Attachment disorder and attachment theory – Two sides of one medal or two different coins?. Comprehensive Psychiatry 2019;95:152139 View
8. Baker A, Fitzhugh S, Huang L, Forster D, Scharine A, Neubauer C, Lematta G, Bhatti S, Johnson C, Krausman A, Holder E, Schaefer K, Cooke N. Approaches for assessing communication in human-autonomy teams. Human-Intelligent Systems Integration 2021;3(2):99 View
9. Parra F, Scherer S, Benezeth Y, Tsvetanova P, Tereno S. Development and Cross-Cultural Evaluation of a Scoring Algorithm for the Biometric Attachment Test: Overcoming the Challenges of Multimodal Fusion with “Small Data”. IEEE Transactions on Affective Computing 2022;13(1):211 View
10. Parra F, Benezeth Y, Yang F. Automatic Assessment of Emotion Dysregulation in American, French, and Tunisian Adults and New Developments in Deep Multimodal Fusion: Cross-sectional Study. JMIR Mental Health 2022;9(1):e34333 View
11. Herrero-Fernández D, Parada-Fernández P, Rodríguez-Arcos I, Amaya-Carrillo L, González-Sáez M, Rubio-González M. The mediation effect of mentalization in the relationship between attachment and aggression on the road. Transportation Research Part F: Traffic Psychology and Behaviour 2022;86:345 View
12. Maghfira T, Krisnadhi A, Basaruddin T, Pudjiati S. The Indonesian Young-Adult Attachment (IYAA): An audio-video dataset for behavioral young-adult attachment assessment. Data in Brief 2023;50:109599 View
13. Gómez-Zaragozá L, Marín-Morales J, Vargas E, Giglioli I, Raya M. An Online Attachment Style Recognition System Based on Voice and Machine Learning. IEEE Journal of Biomedical and Health Informatics 2023;27(11):5576 View
14. Cui X, Wang J, Xue S, Qin Z, Peng C. Quantifying the accuracy of inter-beat intervals acquired from consumer-grade photoplethysmography wristbands using an electrocardiogram-aided information-based similarity approach. Physiological Measurement 2024;45(3):035002 View
15. Maghfira T, Basaruddin T, Alfa Krisnadhi A, Redatin Retno Pudjiati S. Attach-SwiNet: Multimodal Attachment Style Classification Model Based on Non-Verbal Signals. IEEE Access 2024;12:79151 View