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ARDUOUS 2021 : 5th International Workshop on Annotation of useR Data for UbiquitOUs Systems | |||||||||||||||
Link: https://text2hbm.org/arduous | |||||||||||||||
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Call For Papers | |||||||||||||||
===================================================================================== ARDUOUS: 5th International Workshop on Annotation of useR Data for UbiquitOUs Systems ===================================================================================== =============== Call for papers =============== - Affiliated to IEEE PerCom 2021 - March 22-26, 2021 (day to be confirmed) - Kassel, Germany 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 to recognise and reason about the situation, 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. With pervasive systems relying increasingly on large datasets for designing and testing models of users’ activities, the process of data labelling is becoming a major concern for the community. Even more, with the increase of pervasive applications relying on annotated data, it becomes important to develop standards and normalisation methodologies for transferability of annotated data across different applications. To address the problem, this year’s workshop focuses on methods for standardisation and normalisation in annotation practices and possible roadmaps and good practices in addressing the associated challenges. Furthermore, we aim to address the general problems of 1) the role and impact of annotations in designing pervasive applications, 2) the process of labelling, and the requirements to produce high quality annotations for diverse settings and tasks, 3) innovative tools, interfaces and automated methods for annotating user data. The goal of the workshop is to bring these topics to the attention of researchers from interdisciplinary backgrounds, and to initiate a reflection on possible resolutions of the related problems. We invite you to submit papers with a maximum of 6 pages that offer new empirical or theoretical insights on the challenges and innovative solutions associated with labelling of user data, as well as on the impact that labelling choices have on the user and the developed system. The topics of interest include, but are not limited to: - methods and intelligent tools for annotating user data for pervasive systems; - methods for standardisation and normalisation in annotation practices; - influence of interface on annotation; - processes of and best practices in annotating user data; - methods towards automation of the annotation process; - improving and evaluating the quality of annotations; - ethical and privacy issues concerning the annotation of user data; - beyond the labels: ontologies for semantic annotation of user data; - high-quality and re-usable annotation for publicly available datasets; - impact of annotation on a ubiquitous and intelligent system’s performance; - building classifier models that are capable of dealing with multiple (noisy) annotations and/or making use of taxonomies/ontologies; - the potential value of incorporating modelling of the annotators into predictive models. Format: -------- Maximum of 6 pages including references, formatted in accordance with the IEEE Computer Society author guidelines. The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found at the IEEE Computer Society website (http://www.computer.org/web/cs-cps/authors). All papers included in the PerCom 2021 Workshops will appear in the conference proceedings published by IEEE. Submission: ----------- Through the EDAS submission system (https://edas.info/N27727) Review process: --------------- The review process will be double blind. Registration: ------------- There will be no separate workshop registration, but one single registration will cover both conference and workshop participation. At least one author of each accepted paper must register for the workshop and for at least one day of the conference. Organisers: ----------- - Kristina Yordanova, University of Rostock, Germany - Emma Tonkin, University of Bristol, UK - Teodor Stoev, University of Rostock, Germany Important dates: ----------------- Submission deadline: 9 November 2020 Notification of acceptance: 5 January 2021 Camera ready version: 30 January 2021 (TBC) Workshop: March 2021 (TBC) For further information regarding the workshop and paper submission, please visit our webpage (https://text2hbm.org/arduous) or contact Kristina Yordanova at kristina.yordanova@uni-rostock.de, Emma Tonkin at e.l.tonkin@bristol.ac.uk or Teodor Stoev at teodor.stoev@uni-rostock.de. Follow us on Facebook (www.facebook.com/arduousWorkshop/) or ResearchGate (www.researchgate.net/project/ARDUOUS-International-Workshop-on-Annotation-of-useR-Data-for-UbiquitOUs-Systems). |
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