Real-Time Adaptive Game to Reduce Cognitive Load

Calum Henning, Muneeb Ahmad, Katrin Solveig Lohan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Games have the potential to be used to enable the general public to understand the application and implication of many forms of work. We demonstrate an adaptive game that simulates the activities happening in extreme environments where robots carry out tasks and human operators control robots. Under the emergency, operators can experience high cognitive load (CL), so the game dynamically adjusts its support strategy to the user’s CL. We evaluated the adaptive game to find its effectiveness towards reducing user’s CL in real-time by comparing it with the non-adaptive and randomly adaptive versions of the game. The results showed that the method developed to dynamically adjusts the game-support strategy to the user’s CL was promising. The method reduced the CL significantly when compared to the randomly adaptive version, where the adaptations were randomly enabled or disabled on the game. The findings confirm the applicability of the method used to adapt the game and demonstrate the potential to be used to disseminate the work to the general public.
Original languageEnglish
Title of host publicationHAI '21: Proceedings of the 9th International Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Electronic)9781450386203
Publication statusPublished - 9 Nov 2021
Event9th International Conference on Human-Agent Interaction 2021 - Online, Nagoya, Japan
Duration: 9 Nov 202111 Nov 2021


Conference9th International Conference on Human-Agent Interaction 2021
Abbreviated titleHAI 2021
Internet address


  • Adaptive user interfaces
  • Cognitive load
  • Games

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction


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