First International Workshop on Annotation of useR Data for UbiquitOUs Systems'17 - welcome and committees
2017
With ubiquitous systems relying more and more on large datasets for designing and testing models of users' activities, the process of data labelling is becoming a major concern for the community. Labelling user data is a central part of the design and evaluation of pervasive systems that aim to support the user through situation-aware reasoning. It is essential both in designing and training the system, either through the definition of a suitable situation model in knowledge-driven applications, or though the preparation of training data for learning tasks in data-driven models. Hence, the quality of annotations can have a significant impact on the performance of the derived systems. Labelling is also vital for validating and quantifying the performance of applications. In particular, comparative evaluations require the production of benchmark datasets based on high-quality and consistent annotations. The 1st International Workshop on Annotation of useR Data for UbiquitOUs Systems (ARDUOUS) focuses on. (1) the role and impact of annotations in designing ubiquitous applications, (2) the process of labelling, and the requirements to produce high quality annotations, and (3) tools and automated methods for annotating user data. The goal of the workshop is to bring these three topics to the attention of researchers from interdisciplinary backgrounds, and to initiate a reflection on possible resolutions of the related problems.