UMAP 2019 ADAPPT (Adaptive and Personalized Persuasive Technology) Workshop Chairs' Welcome & Organization.

UMAP(2019)

引用 1|浏览34
暂无评分
摘要
We are pleased to welcome you to the 1st International Workshop on Adaptive and Personalized Persuasive Technology (ADAPPT 2019). ADAPPT 2019 is a half-day workshop held in conjunction with the 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2018), 09-12 June 2019 in Larnaca, Spain. Persuasive technologies are increasingly being used to bring about behavior change in various domains of human endeavors, including health, education, commerce, energy conservation, safety, etc. However, research on personalizing and adapting them to their target users to make them more effective is still in its infancy. As such, for the first time, we proposed at the ACM UMAP 2019 conference the ADAPPT 2019 workshop. The workshop aims to bring together researchers and practitioners from academia and industry-working in the area of adapting and personalizing persuasive technologies-to present, discuss and share their work in progress with other members of the research community. Specifically, the workshop aims to provide a platform for stakeholders to brainstorm, identify and discuss the opportunities and challenges in the ADAPPT field as well as emerging techniques, methods and approaches to personalizing and adapting persuasive technologies to the target users. In the first edition of the workshop, we received 10 submissions from four different countries, including Canada, Germany, Nigeria and Spain, covering a wide range of topics in domains such as health, education, organization, social media, e-commerce, etc. Each of the 10 papers was reviewed by at least two reviewers, which included members of the organizing committee and external reviewers with expertise in different areas of persuasive technology research. All of the 10 papers, which include 4 full papers and 6 short papers, were accepted for presentation at the workshop.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要