The tailoring of intervention change strategies or delivery features according to characteristics of a single individual have long been part of the behavioural scientist’s toolkit. However, recent research drawing on technology-mediated assessments of behaviours, cognitions, and emotions in people’s daily lives highlights that many health behaviours are complex – i.e., they fluctuate over time, differ from person to person, and are influenced by several factors (e.g., weather, time of day, motivation, stress). This presentation will provide a discussion of i) why dynamic tailoring is poised as important for improving the effectiveness of digital health interventions, ii) what methods are currently used to enable dynamic tailoring within, for example, just-in-time adaptive interventions, and iii) what key questions remain to be addressed in order to safely and effectively deliver dynamically tailored digital health interventions that people want to engage with.

Dr Olga Perski is an interdisciplinary researcher working at the intersection of behavioural science, public health, and technology. She is currently a Senior Research Fellow at University College London. Her work is focused on the development, optimisation, and evaluation of interventions for smoking cessation and alcohol reduction delivered via smartphone apps, chatbots, virtual reality, and in hybrid human-digital format. She is interested in the technology-enabled, real-time assessment and modelling of within-person processes and the development of just-in-time adaptive interventions. In fall 2022, she will begin a Marie Sklodowska-Curie Postdoctoral Fellowship to develop a dynamic computational model of lapse risk in smokers attempting to stop, splitting her time across UC San Diego and Tampere University.