Developing a new architectural framework for designing Digital Habit Formation Support System

行为改变干预措施对于有效执行针对日益严峻挑战的政策和做法至关重要，这些挑战包括慢性病的自我管理、坚持保持社会距离等预防行为，以减少传染病的传播等。然而，无论其重要性如何，实现可持续的行为改变仍然是研究人员和实践者面临的挑战。应对这一挑战的一个潜在手段是使用被称为行为改变支持系统（BCSS）的数字技术。然而，新兴的解决方案继续显示出不同程度的有效性，并且不能长期持续。其中一个问题是，目前的数字解决方案没有将习惯作为持续行为的基本阶段。为了本研究的目的，习惯被定义为经常重复的习得行为，具有高度的自动性，并在稳定的环境中被提示。更好地理解如何创建习惯形成原则并将其整合到决策支持系统的设计中，对于为持续的行为改变提供长期支持至关重要。我提出的研究将解决这一需求。本研究的长期目标是开发和操作一个全面的架构框架，用于设计习惯形成支持系统（HFSS），以支持个人的可持续行为改变。本研究将采用设计科学研究方法，以指导信息系统工件的开发，为一类系统设计产生新的知识。为了设计和开发一个本体，我将考虑各种方法，如IDEF5和Web ontology Language。我还将使用proprotg<e:1>工具来创建本体。在开发干预的表示和形式化这些干预的组合时，我将使用约束逻辑编程及其最小化实现。最后，对于其余组件的创建和体系结构框架的实现，我将应用基于组织的多代理系统工程方法进行多代理系统的设计。本研究将通过为HFSS提出一种直接结合行为设计原则的新架构框架，为决策支持系统领域做出贡献。该研究项目的影响及其理论和实证贡献是双重的。从理论的角度来看，本研究将展示如何将习惯设计整合到决策支持系统设计中，从而有可能对行为理论进行建模和操作。在实践层面，本研究将为系统设计者提供一个设计蓝图，用于创建不同领域的习惯形成决策支持系统。总的来说，拟议的研究代表了朝着创建直接满足用户支持可持续行为改变需求的系统迈出的一步。

Behaviour change interventions are fundamental for effective implementation of policies and practices that target growing challenges such as self-management of chronic diseases, adhering to preventive behaviours like social distancing to reduce the spread of transmissible diseases, etc. However, regardless of the importance, achieving a sustainable behaviour change remains to be a challenge for researchers and practitioners. A potential means for addressing this challenge is to use digital technologies known as behaviour change support systems (BCSS). However, emerging solutions continue to show varying levels of effectiveness and are not sustainable over the long term. One of the issues is that current digital solutions do not address habit as a fundamental stage of sustained behaviour. For the purpose of this research, habit is defined as learned behaviour that is frequently repeated, has acquired a high degree of automaticity, and is cued in stable contexts. A better understanding of how to create and integrate habit formation principles into the design of a decision support system is crucial for providing long-term support for sustained behaviour change. My proposed research will address this need. The long-termvision of this research is to develop and operationalize a comprehensive architectural framework for designing the Habit Formation Support System (HFSS) that supports sustainable behaviour change in individuals. This research will employ the Design Science Research Methodology known for guiding the development of Information Systems artifacts to generate new knowledge for a class of systems' design. To design and develop an ontology, I will consider various methods, such as IDEF5 and Web Ontology Language. I will also use Protégé tool to create the ontology. In developing a representation of the interventions and formalizing assembling of these interventions, I will use Constraint Logic Programming and its Minizinc implementation. Finally, for the creation of the rest of the components and implementation of the architectural framework, I will apply the Organization-based Multiagent System Engineering method for multi-agent system design. This research will contribute to the field of decision support systems by proposing a novel architectural framework for the HFSS that directly incorporates behavioural design principles. The impact of this research program and its theoretical and empirical contributions are twofold. From a theoretical perspective, this research will demonstrate how to integrate habitual design into a decision support system design so it is possible to model and operationalize behavioural theories. At the practical level, this research will provide system designers with a design blueprint for creating habit formation decision support systems for different domains. Overall, the proposed research represents a step towards creating systems that directly address  users' need for supporting sustainable behaviour change.