Rafael Calvo

Peters, D., & Calvo, R. A. (2023). Self-determination theory and technology design. In In R. M. Ryan (Ed.), The Oxford handbook of self-determination theory (pp. 978-999). : Oxford University Press. doi: 10.1093/oxfordhb/9780197600047.013.49

Burnell, R., Peters, D., Ryan, R. M., & Calvo, R. A. (2023). Technology evaluations are associated with psychological need satisfaction across different spheres of experience: an application of the METUX scales. Frontiers in Psychology, 14, 1092288. doi: 10.3389/fpsyg.2023.1092288

Ballou, N., Deterding, S., Tyack, A., Mekler, E. D., Calvo, R. A., Peters, D., Zuniga, G. V., & Turkey, S. (2022). Self-determination theory in HCI: Shaping a research agenda. In: CHI 2022 Extended Abstracts doi: 10.1145/3491101.3503702

Bradshaw, E. L., Ryan, R. M., Noetel, M., Saeri, A. K., Slattery, P., Grundy, E., & Calvo, R. A. (2021). Information safety assurances increase intentions to use COVID-19 contact tracing applications, regardless of autonomy-supportive or controlling message framing. Frontiers in Psychology, 11, 591638. doi: 10.3389/fpsyg.2020.591638

Porat, T., Burnell, R., Calvo, R. A., Ford, E., Paudyal, P., Baxter, W. L., & Parush, A. (2021). “Vaccine passports” may backfire: Findings from a cross-sectional study in the UK and Israel on willingness to get vaccinated against COVID-19. Vaccines, 9(8), 902. doi: 10.3390/vaccines9080902

Jedwab, R. M., Hutchinson, A. M., Manias, E., Calvo, R. A., Dobroff, N., Glozier, N., & Redley, B. (2021). Nurse motivation, engagement and well-being before an electronic medical record system implementation: A mixed methods study. International Journal of Environmental Research and Public Health, 18, 2726. doi: 10.3390/ijerph18052726

Peters, D., Ahmadpour, N., & Calvo, R. A. (2020). Tools for wellbeing-supportive design: Features, characteristics, and prototypes. Multimodal Technologies Interact, 4(3), 40. doi: 10.3390/mti4030040

Bradshaw, E. L., Ryan, R. M., Noetel, M., Saeri, A., Slattery, P., Grundy, E., & Calvo, R. A. (2020). Information safety assurances affect intentions to use COVID-19 contact tracing applications, regardless of autonomy-supportive or controlling message framing. Preprint doi:

Peters, D., Vold, K., Robinson, D., & Calvo, R. A. (2020). Responsible AI - Two frameworks for ethical design practice. IEEE Transactions on Technology and Society, 1(1), 34-47. doi: 10.1109/TTS.2020.2974991

Porat, T., Nyrup, R., Calvo, R. A., Paudyal, P., & Ford, E. (2020). . In , Public health and risk communication during COVID-19 – enhancing psychological needs to promote sustainable behaviour change (Vol 8). : . doi: https://doi.org/10.3389/fpubh.2020.573397

Calvo, R. A., Deterding, S., & Ryan, R. M. (2020). Health surveillance during covid-19 pandemic: How to safeguard autonomy and why it matters. BMJ, 369, m1373. doi: 10.1136/bmj.m1373

Calvo, R. A., Deterding, S., & Ryan, R. M. (2020). Health surveillance during covid-19 pandemic: How to safeguard autonomy and why it matters. BMJ, 369, m1373. doi: 10.1136/bmj.m1373

Calvo, R. A., Peters, D., Vold, K., & Ryan, R. M. (2020). Supporting human autonomy in AI systems: A framework for ethical enquiry. In C. Burr, & L. Floridi (Eds.), Ethics of Digital Well-Being: A Multidisciplinary Approach (Vol vol 140, pp. 31-54). : Springer, Cham. doi: 10.1007/978-3-030-50585-1_2

Peters, D., Calvo, R. A., & Ryan, R. M. (2018). Designing for motivation, engagement and wellbeing in digital experience. Frontiers in Psychology, 9, 797. doi: 10.3389/fpsyg.2018.00797

Bradshaw, E. L., Sahdra, B.K., Calvo, R. A., Mrvaljevich, A., & Ryan, R. M. (2018). Users’ intrinsic goals linked to alcohol dependence risk level and engagement with the health promotion website, Hello Sunday Morning: Observational study. Journal of Medical Internet Research: Mental Health, 5(4), 1-8. doi: 10.2196/10022

Peters, D., Davis. S., Calvo, R. A., Sawyer, S. M., Smith, L., & Foster, J. M. (2017). Young people’s preferences for an asthma self-management app highlight psychological needs: A participatory study. Journal of Medical Internet Research, 19(4), e113. doi: 10.2196/jmir.6994