Bennasar, Mohamed, Banks, D., Price, B., & Kardos, A. (2020). Minimal Patients’ Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques (Preprint). JMIR Cardiohttps://doi.org/10.2196/16975

Gooch, D., Kelly, R. M., Stiver, A., van der Linden, J., Petre, M., Richards, M., Klis-Davies, A., MacKinnon, J., Macpherson, R., & Walton, C. (2020). The benefits and challenges of using crowdfunding to facilitate community-led projects in the context of digital civics. International Journal of Human-Computer Studies134, 33–43. https://doi.org/10.1016/j.ijhcs.2019.10.005

Gooch, D., Mehta, V., Price, B., McCormick, C., Bandara, A., Bennaceur, A., Bennasar, M., Stuart, A., Clare, L., Levine, M., Cohen, J., & Nuseibeh, B. (2020). How are you feeling?: Using Tangibles to Log the Emotions of Older Adults. Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction, 31–43. https://doi.org/10.1145/3374920.3374922

Islam, R., Bennasar, M., Nicholas, K., Button, K., Holland, S., Mulholland, P., Price, B., & Al-Amri, M. (2020). Non-proprietary movement analysis software using wearable inertial measurement units on both healthy participants and those with anterior cruciate ligament reconstruction across a range of complex tasks: Validation study (Preprint). JMIR MHealth and UHealthhttps://doi.org/10.2196/17872

Perera, C., Barhamgi, M., Bandara, A. K., Ajmal, M., Price, B., & Nuseibeh, B. (2020). Designing privacy-aware internet of things applications. Information Sciences512, 238–257. https://doi.org/10.1016/j.ins.2019.09.061

Stevenson, C., Costa, S., Easterbrook, M. J., McNamara, N., Kellezi, (2020). Social cure lowers intergroup anxiety. Political Psychology. ISSN 0162-895X (Forthcoming)

Stevenson, Clifford, Costa, S., Wakefield, J. R. H., Kellezi, B., & Stack, R. J. (2020). Family identification facilitates coping with financial stress: A social identity approach to family financial resilience. Journal of Economic Psychology78, 102271. https://doi.org/10.1016/j.joep.2020.102271


Bennaceur, A., Zisman, A., McCormick, C., Barthaud, D., & Nuseibeh, B. (2019). Won’t Take No for an Answer: Resource-Driven Requirements Adaptation. 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 77–88. https://doi.org/10.1109/SEAMS.2019.00019

Bennasar, Mohamed, McCormick, C., Price, B., Gooch, D., Stuart, A., Mehta, V., Clare, L., Bennaceur, A., Cohen, J., Bandara, A., Levine, M., & Nuseibeh, B. (2019). A Sensor Platform for Non-invasive Remote Monitoring of Older Adults in Real Time. In Y.-W. Chen, A. Zimmermann, R. J. Howlett, & L. C. Jain (Eds.), Innovation in Medicine and Healthcare Systems, and Multimedia (Vol. 145, pp. 125–135). Springer Singapore. https://doi.org/10.1007/978-981-13-8566-7_12

Bennasar, M., Price, B.A., Stuart, A., Gooch, D., McCormick, C., Mehta, V., Clare, L., Bennaceur, A., Cohen, J., Bandara, A.K. Levine, M., and Nuseibeh, B., (2019). Knowledge-Based Architecture for Recognising Activities of Older People. In 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems.

Kellezi, B., Wakefield, J. R. H., Stevenson, C., McNamara, N., Mair, E., Bowe, M., Wilson, I., & Halder, M. M. (2019). The social cure of social prescribing: A mixed-methods study on the benefits of social connectedness on quality and effectiveness of care provision. BMJ Open9(11), e033137. https://doi.org/10.1136/bmjopen-2019-033137

Paci, P., Mancini, C., & Price, B. A. (2019a). Designing for wearability: An animal-centred framework. Proceedings of the Sixth International Conference on Animal-Computer Interaction, 1–12. https://doi.org/10.1145/3371049.3371051

Paci, P., Mancini, C., & Price, B. A. (2019b). Wearer-centered design for animal biotelemetry: Implementation and wearability test of a prototype. Proceedings of the 23rd International Symposium on Wearable Computers  – ISWC ’19, 177–185. https://doi.org/10.1145/3341163.3347750

Stuart, A., Bandara, A. K., & Levine, M. (2019). The psychology of privacy in the digital age. Social and Personality Psychology Compass13(11), e12507. https://doi.org/10.1111/spc3.12507

Thomas, E. F., McGarty, C., Stuart, A., Smith, L. G. E., & Bourgeois, L. (2019). Reaching consensus promotes the internalization of commitment to social change. Group Processes & Intergroup Relations22(5), 615–630. https://doi.org/10.1177/1368430218780320

Wakefield, J. R. H., Bowe, M., Kellezi, B., McNamara, N., & Stevenson, C. (2019). When groups help and when groups harm: Origins, developments, and future directions of the “Social Cure” perspective of group dynamics. Social and Personality Psychology Compass13(3), e12440. https://doi.org/10.1111/spc3.12440

Wilkins, D. J., Livingstone, A. G., & Levine, M. (2019). All click, no action? Online action, efficacy perceptions, and prior experience combine to affect future collective action. Computers in Human Behavior91, 97–105.


Bennasar, M., Hicks, Y. A., Clinch, S. P., Jones, P., Holt, C., Rosser, A., & Busse, M. (2018). Automated Assessment of Movement Impairment in Huntington’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering26(10), 2062-2069. https://doi.org/10.1109/TNSRE.2018.2868170

Bennaceur, A., & Meinke, K. (2018). Machine Learning for Software Analysis: Models, Methods, and Applications. In A. Bennaceur, R. Hähnle, & K. Meinke (Eds.), Machine Learning for Dynamic Software Analysis: Potentials and Limits: International Dagstuhl Seminar 16172, Dagstuhl Castle, Germany, April 24-27, 2016, Revised Papers (pp. 3–49). Springer International Publishing. https://doi.org/10.1007/978-3-319-96562-8_1

Gooch, D., Barker, M., Hudson, L., Kelly, R., Kortuem, G., Linden, J. V. D., Petre, M., Brown, R., Klis-Davies, A., Forbes, H., Mackinnon, J., Macpherson, R., & Walton, C. (2018). Amplifying Quiet Voices: Challenges and Opportunities for Participatory Design at an Urban Scale. ACM Transactions on Computer-Human Interaction25(1), 1–34. https://doi.org/10.1145/3139398

Halder, M. M., Wakefield, J. R., Bowe, M., Kellezi, B., Mair, E., McNamara, N., Wilson, I., & Stevenson, C. (2018). Evaluation and exploration of a social prescribing initiative: Study protocol. Journal of Health Psychology, 135910531881416. https://doi.org/10.1177/1359105318814160

Hutton, L., Price, B. A., Kelly, R., McCormick, C., Bandara, A. K., Hatzakis, T., Meadows, M., & Nuseibeh, B. (2018). Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach. JMIR MHealth and UHealth6(10), e185. https://doi.org/10.2196/mhealth.9217

Islam, R., Georgiou, T., Holland, S., & Mulholland, P. (2018). Wearables for Long Term Gait Rehabilitation of Neurological Conditions. 7.Islam, R., Holland, S., Georgiou, T., & Price, B. (2018). Wearable Haptic Devices for Long-Term Gait Re- education for Neurological Conditions. 5.

Islam, R., Holland, S., Georgiou, T., Price, B., & Mulholland, P. (2018, April 11). A longitudinal rehabilitation case study for hemiparetic gait using outdoor rhythmic haptic cueing via a wearable device. Proc of the  27th European Stroke Conference. 27th European Stroke Conference. http://oro.open.ac.uk/53032/4/53032.pdf

Katz, D. S., Price, B. A., Holland, S., & Dalton, N. S. (2018a). Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems  – CHI ’18, 1–12. https://doi.org/10.1145/3173574.3174077

Katz, D. S., Price, B. A., Holland, S., & Dalton, N. S. (2018b). Designing for Diabetes Decision Support Systems with Fluid Contextual Reasoning. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems  – CHI ’18, 1–12. https://doi.org/10.1145/3173574.3174199

Kelly, R., Gooch, D., & Watts, L. (2018). “It’s More Like a Letter”: An Exploration of Mediated Conversational Effort in Message Builder. Proceedings of the ACM on Human-Computer Interaction2(CSCW), 1–23. https://doi.org/10.1145/3274356

Meinke, K., & Bennaceur, A. (2018). Machine learning for software engineering: Models, methods, and applications. Proceedings of the 40th International Conference on Software Engineering Companion Proceeedings – ICSE ’18, 548–549. https://doi.org/10.1145/3183440.3183461

Price, B. A., Kelly, R., Mehta, V., McCormick, C., Ahmed, H., & Pearce, O. (2018). Feel My Pain: Design and Evaluation of Painpad, a Tangible Device for Supporting Inpatient Self-Logging of Pain. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems  – CHI ’18, 1–13. https://doi.org/10.1145/3173574.3173743

Spiller, K., Ball, K., Bandara, A., Meadows, M., McCormick, C., Nuseibeh, B., & Price, B. A. (2018). Data Privacy: Users’ Thoughts on Quantified Self Personal Data. In B. Ajana (Ed.), Self-Tracking (pp. 111–124). Springer International Publishing. https://doi.org/10.1007/978-3-319-65379-2_8


Paci, P., Mancini, C., & Price, B. A. (2017). The Role of Ethological Observation for Measuring Animal Reactions to Biotelemetry Devices. Proceedings of the Fourth International Conference on Animal-Computer Interaction – ACI2017, 1–12. https://doi.org/10.1145/3152130.3152144

Price, B. A., Stuart, A., Calikli, G., Mccormick, C., Mehta, V., Hutton, L., Bandara, A. K., Levine, M., & Nuseibeh, B. (2017). Logging you, Logging me: A Replicable Study of Privacy and Sharing Behaviour in Groups of Visual Lifeloggers. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies1(2), 1–18. https://doi.org/10.1145/3090087

Rafiq, Y., Dickens, L., Russo, A., Bandara, A. K., Yang, M., Stuart, A., Levine, M., Calikli, G., Price, B. A., & Nuseibeh, B. (2017). Learning to share: Engineering adaptive decision-support for online social networks. 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), 280–285. https://doi.org/10.1109/ASE.2017.8115641

Stuart, A., & Levine, M. (2017). Beyond ‘nothing to hide’: When identity is key to privacy threat under surveillance: Surveillance, identity and privacy threat. European Journal of Social Psychology47(6), 694–707. https://doi.org/10.1002/ejsp.2270


Calikli, G., Law, M., Bandara, A. K., Russo, A., Dickens, L., Price, B. A., Stuart, A., Levine, M., & Nuseibeh, B. (2016). Privacy dynamics: Learning privacy norms for social software. Proceedings of the 11th International Workshop on Software Engineering for Adaptive and Self-Managing Systems – SEAMS ’16, 47–56. https://doi.org/10.1145/2897053.2897063