Preface to the special issue on personalization and behavior change
Preface to the special issue on personalization and behavior change
复制标题
个性化和行为改变特刊序言
DOI：
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发表时间：
2014
影响因子：
3.6
通讯作者：
Jaap Ham
中科院分区：
文献类型：
--
作者：
Judith Masthoff;F. Grasso;Jaap Ham
数字行为干预是一个不断发展的研究领域，它研究交互系统如何鼓励和支持人们改变他们的行为。个性化在这方面起着重要的作用，因为最有效的说服和激励策略可能取决于用户的特征，如用户的个性，情感状态，现有的态度，行为，知识和目标。示例应用领域包括医疗保健（例如，鼓励人们吃得更健康，锻炼更多），教育（例如，激励学习者学习更多），环境（例如，鼓励人们使用更少的能源和更多的公共交通），以及协作内容开发（例如，激励人们注释资源）。一个系统可以被用来在用户模型的基础上激励人们的想法当然不是新颖的。早在20世纪80年代，智能辅导系统就鼓励学生通过量身定制的反馈和提示来学习（Sleeman和Brown，1982），在90年代，患者教育系统试图通过信息和个性化建议来解决对医疗方案的依从性（De Escheris等人，1996）或鼓励人们采取更健康的生活方式（Reiter等人，2003）。然而，直到最近，一些看似不相关的广泛研究工作，
Digital behavior intervention is a growing area of research which investigates how interactive systems can encourage and support people to change their behavior. Personalization plays an important role in this, as the most effective persuasive and motivational strategies are likely to depend on user characteristics such as the user’s personality, affective state, existing attitudes, behaviors, knowledge, and goals. Example application areas include healthcare (e.g., encouraging people to eatmore healthily and exercise more), education (e.g., motivating learners to study more), environment (e.g., encouraging people to use less energy and more public transport), and collaborative content development (e.g., incentivizing people to annotate resources). The idea that a system may be used to motivate people on the basis of a user model is certainly not novel. As early as the 1980s, intelligent tutoring systems encouraged students to learn by means of tailored feedback and hints (Sleeman and Brown 1982), and in the 90s patient education systems attempted to address compliance to a medical regimen by means of information and personalized advice (De Carolis et al. 1996) or encouraged people to adopt healthier lifestyles (Reiter et al. 2003). However, it is only recently that a number of seemingly non correlated, extensive research efforts,