Koa Health research papers

We’re committed to sharing our findings with the larger scientific community and building better mental health support with insights gained via peer review.

Our findings have been included in industry publications such as JMIR MHealth Uhealth, ACM Press, Behavior Therapy, Journal of Memory and Language, and Human brain mapping.

2020

H. Weingarden, A. Matic, R. Garriga Calleja, J.L. Greenberg, O.Harrison and S. Wilhelm, ‘Optimizing smartphone cognitive behavioral therapy for body dysmorphic disorder using passive smartphone data: Initial insights from an open pilot trial’, JMIR MHealth Uhealth, 2020.

J. Camacho Collados, Y. Doval, E. Martínez-Cámara, L. Espinosa-Anke, F. Barbieri, and S. Schockaert, ‘Learning cross-lingual word embeddings from Twitter via distant supervision’, Proceedings of the 14th International Conference on Web and Social Media (ICWSM) 2020.

G. Galdon Clavell, M. Martín Zamorano, C. Castillo, O. Smith and A. Matic, ‘Auditing algorithms: On lessons learned and the risks of data minimization’, ACM Press, 2020.

R. Confalonieri, T. Weyde, T. R. Besold and F.M. del Prado Martín, ‘Trepan reloaded: A knowledge-driven approach to explaining black-box models’, Proceedings of the 24th European Conference on Artificial Intelligence (ECAI), 2020.

J. E. Bardram, A. Matic, ‘A decade of ubiquitous computing research in mental health’, IEEE Pervasive Computing 19, no. 1, 2020.

2019

L. Zaadnoordijk, T. R. Besold, ‘Artificial phenomenology for human-level artificial intelligence’, Proceedings of the AAAI 2019 Spring Symposium: Towards Conscious AI Systems, vol. 2287 CEUR-WS.org, 2019.

M. Khwaja, M. Ferrer, J. Omana Iglesias, A. Aldo Faisal, A. Matic, ‘Aligning daily activities with personality: Towards a recommender system for improving wellbeing’, Proceedings of ACM Conference on Recommender Systems (RecSys), 2019.

F. Barbieri, E. Guizzo, F. Lucchesi, G. Maffei, F.M. del Prado Martín and T. Weyde, ‘Towards a multimodal time-based empathy prediction system', 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) IEEE, Chicago, 2019.

L. Zaadnoordijk, T. R. Besold and S. Hunnius, ‘A match does not make a sense: on the sufficiency of the comparator model for explaining the sense of agency’, Neuroscience of Consciousness, vol. 1(niz006), Oxford Academic/Oxford University Press, 2019.

R. Confalonieri, O. Kutz, ‘Blending under deconstruction: The roles of logic, ontology, and cognition in computational concept invention’, Annals of Mathematics and Artificial Intelligence, 2019.

T. R. Besold, P. Gervas, E. Gius and S. Schulz, ‘Computational creativity meets digital literary studies’ , Dagstuhl Seminar 19172, Dagstuhl Reports, vol. 9(4), Dagstuhl Publishing, 2019.

M. Khwaja, S.S. Vaid, S. Zannone, G.M. Harari, A. Aldo Faisal and A. Matic, ‘Modeling personality vs. modeling personalidad: In-the-wild mobile data analysis in five countries suggests cultural impact on personality models’, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies archive (IMWUT), Volume 3 Issue 3, Presented at Ubicomp, London, UK, September 2019.

M. Khwaja, A. Matic, ‘Personality is revealed during weekends: Towards data minimisation for smartphone based personality classification’, INTERACT conference, 2019.

S. Wilhelm, H. Weingarden, J.L. Greenberg, T.H. McCoy, I. Ladis, B.J. Summers, A. Matic and O. Harrison, ‘Development and pilot testing of a cognitive behavioral therapy digital service for body dysmorphic disorder’, Behavior Therapy, August, 2019.

R. Confalonieri, T. R. Besold, T. Weyde, K. Creel, T. Lombrozo, S. T. Mueller and P. Shafto, ‘What makes a good explanation? Cognitive dimensions of explaining intelligent machines,‘ Proceedings 41th Annual Meeting of the Cognitive Science Society, CogSci 2019, Montreal, Canada, pp. 25–26, 2019.

M. Khwaja, S. Shepherd, ‘Adding images to psychometric questionnaires to improve user engagement,’ IFIP Conference on Human-Computer Interaction, pp. 621-625. Springer, Cham, 2019.

J. Grohmann, P. K. Nicholson, J. Omana Iglesias, S. Kounev and D. Lugones, ‘Monitorless: predicting performance degradation in cloud applications with machine learning’, 20th International Middleware Conference, 2019.

A. Zaidi, I. Estella Aguerri, 'Optimal rate-exponent region for a class of hypothesis testing against conditional independence problems,' 2019 IEEE Information Theory Workshop (ITW), 2019.

X. Guo, T. Simas, M.C. Lai, M.V. Lombardo, B. Chakrabarti, A.N. Ruigrok, E.T Bullmore, S. Baron‐Cohen, H. Chen and J. Suckling, ‘Enhancement of indirect functional connections with shortest path length in the adult autistic brain’, Human Brain Mapping, 40(18), pp.5354-5369, IMS Consortium, 2019.

2018

M. Constantinides, J. Busk, A. Matic, M. Faurholt-Jepsen, L. Vedel Kessing and J.E. Bardram, ‘Personalized versus generic mood prediction models in bipolar disorder’, Mental Health and Well-being: Sensing and Intervention Workshop in conjunction with UBICOMP 2018 Conference, Singapore, 2018.

S.Park, A. Matic, K. Garg and N. Oliver, ‘When simpler data does not imply less information: A study of user profiling scenarios with constrained view of mobile HTTP(S) traffic’, Journal ACM Transactions on the Web (TWEB) 12, no. 2. 2018.

2017

M. Pielot, B. Cardoso, K. Katevas, J. Serrà, A. Matic and N. Oliver, ‘Beyond interruptibility: Predicting opportune moments to engage mobile phone users’, Proceedings UbiComp 2017: ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2017.

A. Matic, M. Pielot and N. Oliver, ‘OMG! How did it know that?” Reactions to highly-personalized ads’. UMAP 2017 (Adjunct): ACM International Conference on User Modelling, Adaptation and Personalization, 2017.

K. Connelly, O. Mayora, J. Favela, M. Jacobs, A. Matic, C. Nugent and S. Wagner, ‘The Future of pervasive health’, IEEE Pervasive Computing Journal, vol. 16, no., pp. 16-20, 2017.

2016

J. Serrà, A. Matic, J.L. Arcos and A. Karatzoglou, ‘A genetic algorithm to discover flexible motifs with support’, Proceedings of the IEEE International Conference on Data Mining (ICDM), Workshop on Spatial and Spatiotemporal Data Mining (SSTDM), pp. 1153-1158. Dec 2016.

A. Matic, N. Oliver, ‘The untapped opportunity of mobile network data for mental health’, Future of Pervasive Health Workshop, Public Health, 2016.

M. Tentori, L. Escobedo, C. Hernandez, A. Matic and G.R. Hayes, ‘Pervasive displays in classrooms of children with severe autism’, IEEE Pervasive Computing, Vol 15, Num 3, 2016.

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