Human-in-the-Loop: Visual Analytics for Building Models Recognising Behavioural Patterns in Time Series
Andrienko, N. 
ORCID: 0000-0002-8574-6295, Andrienko, G. ORCID: 0000-0002-8574-6295, Artikis, A. , Mantenoglou, P. & Rinzivillo, S. (2024).
Human-in-the-Loop: Visual Analytics for Building Models Recognising Behavioural Patterns in Time Series.
IEEE Computer Graphics and Applications, 44(3),
pp. 14-29.
doi: 10.1109/mcg.2024.3379851
Abstract
Results of automated detection of complex patterns in temporal data, such as trajectories of moving objects, may be not good enough due to the use of strict pattern specifications derived from imprecise domain concepts. To address this challenge, we propose a novel visual analytics approach that combines expert knowledge and automated pattern detection results to construct features that effectively distinguish patterns of interest from other types of behaviour. These features are then used to create interactive visualisations enabling a human analyst to generate labelled examples for building a feature-based pattern classifier. We evaluate our approach through a case study focused on detecting trawling activities in fishing vessel trajectories, demonstrating significant improvements in pattern recognition by leveraging domain knowledge and incorporating human reasoning and feedback. Our contribution is a novel framework that integrates human expertise and analytical reasoning with ML or AI techniques, advancing the field of data analytics.
| Publication Type: | Article |
|---|---|
| Additional Information: | © 2024 IEEE. For the purpose of open access, the author(s) has applied a Creative Commons Attribution (CC BY) license to any Accepted Manuscript version arising. |
| Publisher Keywords: | Trajectory, Data models, Pattern recognition, Time series analysis, Task analysis, Visual analytics, Training |
| Subjects: | G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | School of Science & Technology School of Science & Technology > Department of Computer Science School of Science & Technology > Department of Computer Science > giCentre |
| SWORD Depositor: |
Available under License Creative Commons Attribution.
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