Virtual, Augmented and Mixed Reality technologies are embraced by designers, scholars and charities alike, some primarily for their entertaining properties, others also for the opportunities in education, motivation or persuasion. Applications with the latter objective, that of persuasion, are designed not only to be entertaining, but are also designed (or framed) to shape how players think and feel about issues in reality. However, despite the growing interest in the persuasive opportunities of these immersive technologies, we still lack the design strategies and best-practices that could support in the design of these ‘immersive persuasive games’. To address this still-unexplored and fragmented design space, we organize a design-oriented workshop that brings together academia and industry. The workshop is informed by a Research through Design approach in which the primary focus is to generate knowledge through designing. Participants design and evaluate ideas on-the-spot in an iterative manner using low-fidelity, life-size, prototyping and role-playing techniques, thereby mimicking an embodied interactive immersive environment. By reflecting on design practices and player experiences, we construct a body of knowledge, built exemplar work and distil best-practices to formulate design strategies for the design of immersive persuasive games.
Background:It is unclear why some physical activity (PA) mobile health (mHealth) interventions successfully promote PA whereas others do not. One possible explanation is the variety in PA mHealth interventions—not only do interventions differ in the selection of persuasive strategies but also the design and implementation of persuasive strategies can vary. However, limited studies have examined the different designs and technical implementations of strategies or explored if they indeed influenced the effectiveness of the intervention.Objective:This scoping review sets out to explore the different technical implementations and design characteristics of common and likely most effective persuasive strategies, namely, goal setting, monitoring, reminders, rewards, sharing, and social comparison. Furthermore, this review aims to explore whether previous mHealth studies examined the influence of the different design characteristics and technical operationalizations of common persuasive strategies on the effectiveness of the intervention to persuade the user to engage in PA.Methods:An unsystematic snowball and gray literature search was performed to identify the literature that evaluated the persuasive strategies in experimental trials (eg, randomized controlled trial, pre-post test). Studies were included if they targeted adults, if they were (partly) delivered by a mobile system, if they reported PA outcomes, if they used an experimental trial, and when they specifically compared the effect of different designs or implementations of persuasive strategies. The study methods, implementations, and designs of persuasive strategies, and the study results were systematically extracted from the literature by the reviewers.Results:A total of 29 experimental trials were identified. We found a heterogeneity in how the strategies are being implemented and designed. Moreover, the findings indicated that the implementation and design of the strategy has an influence on the effectiveness of the PA intervention. For instance, the effectiveness of rewarding was shown to vary between types of rewards; rewarding goal achievement seems to be more effective than rewarding each step taken. Furthermore, studies comparing different ways of goal setting suggested that assigning a goal to users might appear to be more effective than letting the user set their own goal, similar to using adaptively tailored goals as opposed to static generic goals. This study further demonstrates that only a few studies have examined the influence of different technical implementations on PA behavior.Conclusions:The different implementations and designs of persuasive strategies in mHealth interventions should be critically considered when developing such interventions and before drawing conclusions on the effectiveness of the strategy as a whole. Future efforts are needed to examine which implementations and designs are most effective to improve the translation of theory-based persuasive strategies into practical delivery forms.
People tend to disclose personal identifiable information (PII) that could be used by cybercriminals against them. Often, persuasion techniques are used by cybercriminals to trick people to disclose PII. This research investigates whether people can be made less susceptible to persuasion by reciprocation (i.e., making people feel obligated to return a favour) and authority, particularly in regard to whether information security knowledge and positive affect moderate the relation between susceptibility to persuasion and disclosing PII. Data are used from a population-based survey experiment that measured the actual disclosure of PII in an experimental setting (N = 2426). The results demonstrate a persuasion–disclosure link, indicating that people disclose more PII when persuaded by reciprocation, but not by authority. Knowledge of information security was also found to relate to disclosure. People disclosed less PII when they possessed more knowledge of information security. Positive affect was not related to the disclosure of PII. And contrary to expectations, no moderating effects were found of information security knowledge nor positive affect on the persuasion–disclosure link. Possible explanations are discussed, as well as limitations and future research directions. Uitgegeven door Sage, APA beschrijving: van der Kleij, R., van ‘t Hoff—De Goede, S., van de Weijer, S., & Leukfeldt, R. (2023). Social engineering and the disclosure of personal identifiable information: Examining the relationship and moderating factors using a population-based survey experiment. Journal of Criminology, 56(2-3), 278-293. https://doi.org/10.1177/26338076231162660
