Probing into the Usage of Task Fingerprinting in Web Games to Enhance Cognitive Personalization : A Pilot Gamified Experience with Neurodivergent Participants
Paulino, D., Ferreira, J., Netto, A., Correia, A., Ribeiro, J., Guimarães, D., Barroso, J., & Paredes, H. (2024). Probing into the Usage of Task Fingerprinting in Web Games to Enhance Cognitive Personalization : A Pilot Gamified Experience with Neurodivergent Participants. In 2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH). IEEE. IEEE International Conference on Serious Games and Applications for Health. https://doi.org/10.1109/SeGAH61285.2024.10639597
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2024Access restrictions
Embargoed until: 2025-08-27Request copy from author
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© 2024 IEEE
Microtasks have become increasingly popular in the digital labor market since they provide easy access to a crowd of people with varying skills and aptitudes to perform remote work tasks that even the most capable algorithmic systems are unable to complete in a timely and efficient fashion. However, despite the latest advancements in crowd-powered and contiguous interfaces, many crowd workers still face some accessibility issues, which ultimately deteriorate the quality of the work produced. To mitigate this problem, we restrict attention to the development of two different web-based minigames with a focus on cognitive personalization. We have conducted a pilot gamified experience, with six participants with autism, dyslexia, and attention deficit hyperactivity. The results suggest that a web-based mini-game can be incorporated in preliminary microtask-based crowdsourcing execution stages to achieve enhanced cognitive personalization in crowdsourcing settings.
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IEEEParent publication ISBN
979-8-3503-8439-0Conference
International Conference on Serious Games and Applications for HealthIs part of publication
2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH)ISSN Search the Publication Forum
2330-5649Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/242594488
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This work was supported by the Foundation for Science and Technology under grant 2022.07391.PTDC.License
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