Featured
Skatova, A. Overcoming biases of individual level shopping history data in health research. NPJ Digit. Med. 7, 264 (2024). https://doi.org/10.1038/s41746-024-01231-4
Skatova, A. & Boyd A. A protocol for linking participants’ retailer ‘loyalty card’ records into the Avon Longitudinal Study of Parents and Children (ALSPAC). Wellcome Open Res 2023, 8:99 https://doi.org/10.12688/wellcomeopenres.18900.1
Skatova, A., Stewart, N., Flavahan, E., & Goulding, J. Those Whose Calorie Consumption Varies Most Eat Most. https://psyarxiv.com/ah8jp/
Skatova, A., McDonald, R., Ma, S., & Maple, C. (2023). Unpacking privacy: Valuation of personal data protection. Plos one, 18(5), e0284581. https://doi.org/10.1371/journal.pone.0284581
Skatova, A., & Goulding, J. (2019). Psychology of personal data donation. PLoS ONE, 14(11). https://doi.org/10.1371/journal.pone.0224240
Full list
In preparation
Bastiani, O., Khouja, J. N., Skatova, A., & Newall, P. W. S. The relationship between Problem Gambling Severity Index (PGSI) scores and suicidality: Results of a nine-year cohort study of young UK adults. https://doi.org/10.31234/osf.io/3y94h
Poon, N., Goulding, J., & Skatova, A. Behavioural entropy as an individual difference construct: Can shopping patterns predict sociopolitical outcomes?. https://doi.org/10.31234/osf.io/4bq2v
Dolan, E., Goulding, J., Lang, A.R., Tata, L.J., & Skatova, A. The feasibility of using individual-level loyalty card data for disease surveillance: A pilot study on COVID-19. https://doi.org/10.21203/rs.3.rs-5239099/v1
Burgess, R., Suhag, A., & Skatova, A. Exploring the Use of Supermarket Loyalty Card Data in Health Research: A Scoping Review. https://osf.io/e9zhw
Burgess, R., Poon, N., Skatova, A., & Bould, H. Using shopping data to investigate whether patterns of laxative purchases are in part associated with weight management. https://osf.io/4y7zs/
Devine, S., Goulding, J., Harvey, J., Skatova, A., & Otto, R. Decoy Effects in the Wild: Evidence for (and Constraints On) Attraction Effects in Real-world Consumer Choices https://osf.io/preprints/psyarxiv/7bjqs/
McDonald, R. L., Skatova, A., & Maple, C. Attitudes towards Sharing Personal Data: a Discrete Choice Experiment. https://doi.org/10.31234/osf.io/qz3yp
Skatova, A., Stewart, N., Flavahan, E., & Goulding, J. Those Whose Calorie Consumption Varies Most Eat Most. https://psyarxiv.com/ah8jp/
Lavelle-Hill, R., Goulding, J., Skatova, A., Clarke, D., & Bibby, P. Buying what people like you buy: Personality Homophily and Well-being in Consumer Behaviour. https://osf.io/nxsy9
2024
Skatova, A. Overcoming biases of individual level shopping history data in health research. NPJ Digit. Med. 7, 264 (2024). https://doi.org/10.1038/s41746-024-01231-4
Burgess, R., Dolan, E., Poon, N., Jenneson, V., Pontin, F., Sivill, T., Morris, M., & Skatova, A. (2024). Harnessing digital footprint data for population health: A discussion on collaboration, challenges, and opportunities in the UK. BMJ Health & Care Informatics, 31, e101119. https://doi.org/10.1136/bmjhci-2024-101119
2023
Skatova, A. & Boyd A. A protocol for linking participants’ retailer ‘loyalty card’ records into the Avon Longitudinal Study of Parents and Children (ALSPAC). Wellcome Open Res 2023, 8:99. https://doi.org/10.12688/wellcomeopenres.18900.1
Skatova, A., McDonald, R., Ma, S., & Maple, C. (2023). Unpacking privacy: Valuation of personal data protection. Plos one, 18(5), e0284581. https://doi.org/10.1371/journal.pone.0284581
2022
Dolan, E. H., Shiells, K., Goulding, J., & Skatova, A. (2022). Public Attitudes Towards Sharing Loyalty Card Data for Academic Health Research: a Qualitative Study. BMC Medical Ethics 23:58, https://doi.org/10.1186/s12910-022-00795-8
2020
Shiells, K., Di Cara, N., Skatova, A., Davis, O., Haworth, C., Skinner, A., Thomas, R., Tanner, A., Macleod, J., Timpson, N., Boyd, A. (2020). Participant acceptability of digital footprint data collection strategies: an exemplar approach to participant engagement and involvement in the ALSPAC birth cohort study. International Journal of Population Data Science, 5(3). https://doi.org/10.23889/ijpds.v5i3.1728
Fleck, R., Cecchinato, M. E., Cox, A. L., Harrison, D., Marshall, P., Na, J. H., & Skatova, A. (2020). Life-swap: how discussions around personal data can motivate desire for change. Personal and Ubiquitous Computing, 2020. https://doi.org/10.1007/s00779-020-01372-9
2019
Skatova, A., Shiells, K., & Boyd, A. W. (2019). Attitudes towards transactional data donation and linkage in a longitudinal population study: evidence from the Avon Longitudinal Study of Parents and Children. Wellcome Open Research, 4(192), 192, https://wellcomeopenresearch.org/articles/4-192/v1
Skatova, A., & Goulding, J. (2019). Psychology of personal data donation. PLoS one, 14(11). https://doi.org/10.1371/journal.pone.0224240
Burgess, L. C., Skatova, A., Ma, S., McDonald, R., & Maple, C. (2019). The value of personal data in IoT: Industry perspectives on consumer conceptions of value. In Living in the Internet of Things (IoT 2019): 25-11, https://digital-library.theiet.org/content/conferences/10.1049/cp.2019.0150
2018
Taylor, P. (Ed.), Allpress, S. (Ed.), Carr, M., Lupu, E., Norton, J., Smith, L., Blackstock, J., Boyes, H., Hudson-Smith, A., Brass, I., Chizari, H., Cooper, R., Coulton, P., Craggs, B., Davies, N., De Roure, D., Elsden, M., Huth, M., Lindley, J.,… Skatova, A., …. . Westbury, PS. (2018). Internet of Things: realising the potential of a trusted smart world. Royal Academy of Engineering. https://www.raeng.org.uk/publications/reports/internet-of-things-realising-the-potential-of-a-tr
2017
Siebers, P-O., Figueredo, G., Hirono, M., & Skatova, A. (2017). Developing Agent‐Based Simulation Models for Social Systems Engineering Studies (Book Chapter). In Social Systems Engineering: The Design of Complexity https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118974414.ch7
Skatova, A., Spence, A., Leygue, C., & Ferguson, E. (2017). Guilty repair sustains cooperation, angry retaliation destroys it. Scientific Reports, 7, 46709. https://doi.org/10.1038/srep46709
2016
Skatova, A., Bedwell, B., Shipp, V., Huang, Y., Young, A., Rodden, T., & Bertenshaw, E. (2016). The role of ICT in office work breaks. In CHI 2016 – Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 3049-3060). Association for Computing Machinery (ACM). https://doi.org/10.1145/2858036.2858443
Skatova, A., Bedwell, B., & Kuper-Smith, B. (2016). When Push Comes to Shove: Compensating and Opportunistic Strategies in a Collective-Risk Household Energy Dilemma. Frontiers in Energy Research. https://www.frontiersin.org/articles/10.3389/fenrg.2016.00008/full
2015
Skatova, A., Shipp, V. E., Spacagna, L., Bedwell, B., Beltagui, A., & Rodden, T. (2015). Datawear: Self-reflection on the go or how to ethically use wearable cameras for research. In CHI 2015 – Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings (Vol. 18, pp. 323-326). Association for Computing Machinery (ACM). https://doi.org/10.1145/2702613.2725450
Huang, Y., Skatova, A., Bedwell, B., Rodden, T., Shipp, V., & Bertenshaw, E. (2015). Designing for human sustainability: The role of self-reflection. In MobileHCI 2015 – Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (pp. 1042-1045). Association for Computing Machinery (ACM). https://doi.org/10.1145/2786567.2794323
Kwok, S. Y., Skatova, A., Shipp, V., & Crabtree, A. (2015). The ethical challenges of experience sampling using wearable cameras. In MobileHCI 2015 – Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (pp. 1054-1057). Association for Computing Machinery (ACM). https://doi.org/10.1145/2786567.2794325
Young, A. L., Skatova, A., Bedwell, B., Rodden, T., & Shipp, V. (2015). The role of accidental self-reflection in wearable camera research. In MobileHCI 2015 – Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (pp. 1062-1065). Association for Computing Machinery (ACM). https://doi.org/10.1145/2786567.2794324
Kefalidou, G., Skatova, A., Shipp, V., & Bedwell, B. (2015). The role of self-reflection in sustainability. In MobileHCI 2015 – Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (pp. 1030-1033). Association for Computing Machinery (ACM). https://doi.org/10.1145/2786567.2795398
Ng, K. H., Shipp, V., Skatova, A., & Bedwell, B. (2015). What’s cooking: A digital intervention to encourage sustainable food behaviour using mobile and wearable technologies. In MobileHCI 2015 – Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (pp. 1058-1061). Association for Computing Machinery (ACM). https://doi.org/10.1145/2786567.2794330
2014
Otto, A. R., Skatova, A., Madlon-Kay, S., & Daw, N. D. (2014). Cognitive Control Predicts Use of Model-based Reinforcement Learning. Journal of Cognitive Neuroscience, 27(2), 319-333. https://doi.org/10.1162/jocn_a_00709
Kefalidou, G., Skatova, A., Brown, M., Shipp, V., Pinchin, J., Dix, A., Kelly, P., & Sun, X. (2014). Enhancing self-reflection with wearable sensors. In MobileHCI 2014 – Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 577-580). Association for Computing Machinery (ACM). https://doi.org/10.1145/2628363.2634257
Ferguson, E., Semper, H., Yates, J., Fitzgerald, J. E., Skatova, A., & James, D. (2014). The ‘dark side’ and ‘bright side’ of personality: When too much conscientiousness and too little anxiety are detrimental with respect to the acquisition of medical knowledge and skill. PLoS ONE, 9(2), [e88606]. https://doi.org/10.1371/journal.pone.0088606
Shipp, V., Skatova, A., Blum, J., & Brown, M. (2014). The ethics of wearable cameras in the wild. In 2014 IEEE International Symposium on Ethics in Science, Technology and Engineering, ETHICS 2014 [6893382] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ETHICS.2014.6893382
Skatova, A., & Ferguson, E. (2014). Why do different people choose different university degrees? Motivation and the choice of degree. Frontiers in Psychology, 5, [1244]. https://doi.org/10.3389/fpsyg.2014.01244
Leygue, C., Ferguson, E., Skatova, A., & Spence, A. (2014). Energy sharing and energy feedback: affective and behavioral reactions to communal energy displays. Frontiers in Energy Research, 2, 29. https://www.frontiersin.org/articles/10.3389/fenrg.2014.00029/full
2013
Skatova, A., Chan, P. A., & Daw, N. D. (2013). Extraversion differentiates between model-based and model-free strategies in a reinforcement learning task. Frontiers in Human Neuroscience, (SEP), [A525]. https://doi.org/10.3389/fnhum.2013.00525
Ferguson, E., Ward, J. W., Skatova, A., Cassaday, H. J., Bibby, P. A., & Lawrence, C. (2013). Health specific traits beyond the Five Factor Model, cognitive processes and trait expression: Replies to Watson (2012), Matthews (2012) and Haslam, Jetten, Reynolds, and Reicher (2012). Health Psychology Review, 7(SUPPL1). https://doi.org/10.1080/17437199.2012.701061
Skatova, A., & Ferguson, E. (2013). Individual differences in behavioural inhibition explain free riding in public good games when punishment is expected but not implemented. Behavioral and Brain Functions, 9(1), [3]. https://doi.org/10.1186/1744-9081-9-3
2011
Skatova, A., & Ferguson, E. (2011). What makes people cooperate? Individual differences in BAS/BIS predict strategic reciprocation in a public goods game. Personality and Individual Differences, 51(3), 237-241. https://doi.org/10.1016/j.paid.2010.05.013