Towards a hybrid human-machine discovery of complex movement patterns

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.

  • Published in:
    Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  • Type:
    Inproceedings
  • Authors:
    Andrienko, Natalia; Andrienko, Gennady; Mantenoglou, Periklis; Rinzivillo, Salvatore
  • Year:
    2023

Citation information

Andrienko, Natalia; Andrienko, Gennady; Mantenoglou, Periklis; Rinzivillo, Salvatore: Towards a hybrid human-machine discovery of complex movement patterns, Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023, Andrienko.etal.2023c,

Associated Lamarr Researchers

lamarr institute person Andriyenko Nathaliya pi - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Prof. Dr. Natalia Andrienko

Area Chair Human-centered AI Systems to the profile
lamarr institute person Andriyenko Gennadiy pi - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Prof. Dr. Gennady Andrienko

Principal Investigator Human-centered AI Systems to the profile