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User-centred Design and Development of a Graphical User Interface for Learning Classifier Systems

Authors:

Sebastian von MammenAuthors Info & Claims

GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation

Pages 1830 - 1837

https://doi.org/10.1145/3583133.3596357

Published: 24 July 2023 Publication History

Abstract

This study presents an application that offers an interactive representation of the learning cycle of a learning classifier system (LCS), a rule-based machine learning technique. The research approach utilized a combination of human-computer interaction requirements, design heuristics, and user-centred engineering to scaffold the development of a graphical user interface for an LCS. The evaluation of the application by LCS experts and a novice yielded encouraging results, demonstrating its ability to convey the LCS mechanics to the users. In addition, the experts validated the correctness of the learning cycle. The study's contribution is two-fold: it presents an innovative approach to making the user understand the underlying mechanics of LCS and validates the effectiveness of the developed application. Furthermore, this work sets the stage for future research towards design revision and to further develop the application to accommodate different LCS models and custom data.

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Cited By

Siddique AHeider MIqbal MShiraishi HLi XHandl J(2024)A Survey on Learning Classifier Systems from 2022 to 2024Proceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3664165(1797-1806)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3664165
Babu SChetitah Mvon Mammen S(2024)Recommender-based User Guidance Framework2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)10.1109/AIxVR59861.2024.00046(275-280)Online publication date: 17-Jan-2024
https://doi.org/10.1109/AIxVR59861.2024.00046

Index Terms

User-centred Design and Development of a Graphical User Interface for Learning Classifier Systems
1. Computing methodologies
  1. Artificial intelligence
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Usability testing
      2. User studies

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cover image ACM Conferences

GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation

July 2023

2519 pages

ISBN:9798400701207

DOI:10.1145/3583133

Chair:
Sara Silva,
Program Chair:
Luís Paquete

Copyright © 2023 ACM.

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Published: 24 July 2023

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GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation

July 15 - 19, 2023

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Cited By

Siddique AHeider MIqbal MShiraishi HLi XHandl J(2024)A Survey on Learning Classifier Systems from 2022 to 2024Proceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3664165(1797-1806)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3664165
Babu SChetitah Mvon Mammen S(2024)Recommender-based User Guidance Framework2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)10.1109/AIxVR59861.2024.00046(275-280)Online publication date: 17-Jan-2024
https://doi.org/10.1109/AIxVR59861.2024.00046

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