Personalized and Trusted Behaviour Change Technologies

拟议的研究将推动计算机系统领域的最新技术，支持人们为了自己的利益和社区的利益改变行为。它将开发新的个性化说服技术和激励机制，这些技术和机制不仅受到用户的信任，而且还涉及他们的社交圈（朋友，邻居，家庭成员），以支持他们实现行为改变目标。我将探索有效的激励机制经验（通过用户研究和观察），理论（通过设计信任和激励机制，并通过理论分析和模拟评估它们）和实践（通过设计和评估真实的系统中的激励机制）。我将使用从社会心理学中选择的动机和认知偏见理论作为起点，以指导设计有说服力的策略和激励机制，激励用户参与有益的行为。应用领域包括网上购物，自我提升（学习），健康的生活方式，在工作和休闲中实践安全行为，以及增加孤立（老年人或残疾人）个人的积极社会联系。虽然在过去的五年里，在设计说服和行为改变软件方面进行了积极的研究，但拟议的研究有三个方面是新颖的：*1）大多数现有的方法仍然是“一刀切”，最多为用户类型提供离线定制策略。拟议的研究将基于新的用户建模基础设施开发个性化的说服性干预措施，该基础设施允许从各种来源聚合不同的数据，并用于不同的目的，考虑信息的来源和消费者的可信度。*2）用户对说服技术的信任尚未得到充分研究，因此无法知道它们是否由于缺乏信任考虑而失败。拟议的研究将探讨用户信任和说服技术的有效性之间是否存在相关性，以及考虑其他社会因素（如关系和文化）是否会影响用户信任和说服技术的有效性。*3）拟议的研究将在重要领域产生若干行为改变系统。他们将分享理论思想和方法论方法，但每个人都将探讨在特定领域和激励目的的背景下纳入动态个性化，信任和机制设计的问题。拥有多个系统将为拟议的框架、不同的方法和策略如何推广提供更高层次的视角。

The proposed research will advance the state of the art in the area of computer systems supporting people to change their behaviour for their own benefit and for the benefit of the community. It will develop novel personalized persuasive technologies and incentive mechanisms that are trusted by users and that involve not just them, but their social circles (friends, neighbours, family members) in supporting them to achieve their behaviour change goals. I will explore effective motivational mechanisms empirically (through user studies and observations), theoretically (by designing trust and incentive mechanisms and evaluating them through theoretical analysis and simulations) and in practice (by designing and evaluating motivational mechanisms in real systems). I will use as a starting point selected theories of motivation and cognitive bias from social psychology to guide the design of persuasive strategies and incentive mechanisms that motivate users to engage in beneficial behaviours. The application areas include online shopping, self-improvement (learning), living a healthy lifestyle, practicing safe behaviours at work and leisure, and increasing the positive social connections of isolated (elderly or impaired) individuals.***While there has been active research in the area of designing software for persuasion and behaviour change over the last five years, there are three aspects in which the proposed research is novel:***1) Most existing approaches are still "one size fits all", providing at most offline tailoring of strategies to user types. The proposed research will develop personalized persuasive interventions, based on a new user modeling infrastructure that allows to aggregate diverse data from various sources, and for different purposes, considering how trustworthy the sources and the consumers of the information are. ***2) User trust in persuasive technologies has not been researched sufficiently, so there is no way to know if they are failing due to a lack of consideration of trust. The proposed research will explore if there is a correlation between user trust and the effectiveness of persuasive technologies and if considering other social factors, such as relationships and culture can influence both user trust and persuasive technology effectiveness. ***3) The proposed research will result in several behaviour change systems in important areas. They will share theoretical ideas and methodological approaches, but each will explore the problems of incorporating dynamic personalization, trust and mechanism design in the context of the particular domain and motivational purpose. Having multiple systems will provide a higher-level perspective on how the proposed frameworks, different methods and strategies generalize.**