- Affiliated to IEEE PerCom 2020
- March 23, 2020 (full day)
- Austin, Texas
Important: Given the unfolding international situation, PerCom 2020 will be entirely virtual. Dates and times will remain unchanged. More details will be forthcoming, but watch the website (percom.org) for updates.
The program is now available [here].
Due to some missing reviews, the notification deadline has been moved to December 23, 2019.
The submission deadline has been extended until November 18, 2019!
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.
This also reflects the increasing need of (semi-)automated annotation tools and knowledge transfer methodologies, which can reduce the manual annotation effort and to improve the annotation performance in large datasets.
To address the problem, this year’s workshop focuses on ethical and privacy challenges associated with providing annotation for pervasive systems.
Furthermore, we aim to address the general problems of
- the role and impact of annotations in designing ubiquitous applications,
- the process of labelling, and the requirements to produce high quality annotations especially in the context of large datasets, and
- tools and methods for annotation of data for diverse tasks and settings and such for (semi-)automated annotation of large user datasets and annotation reusability across datasets.
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.
Submission deadline: November 11, 2019
December 20, 2019 December 23, 2019
Camera ready version: approximately January 31, 2020
Author registration due by: approximately January 12, 2020
More details about the workshop can be found below.