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Meyendtris: a hands-free, multimodal tetris clone using eye tracking and passive BCI for intuitive neuroadaptive gaming

Published: 03 November 2017 Publication History

Abstract

This paper introduces a completely hands-free version of Tetris that uses eye tracking and passive brain-computer interfacing (a real-time measurement and interpretation of brain activity) to replace existing game elements, as well as introduce novel ones. In Meyendtris, dwell time-based eye tracking replaces the game's direct control elements, i.e. the movement of the tetromino. In addition to that, two mental states of the player influence the game in real time by means of passive brain-computer interfacing. First, a measure of the player's relaxation is used to modulate the speed of the game (and the corresponding music). Second, when upon landing of a tetromino a state of error perception is detected in the player's brain, this last landed tetromino is destroyed. Together, this results in a multimodal, hands-free version of the classic Tetris game that is no longer hindered by manual input bottlenecks, while engaging novel mental abilities of the player.

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      cover image ACM Conferences
      ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction
      November 2017
      676 pages
      ISBN:9781450355438
      DOI:10.1145/3136755
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 03 November 2017

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      Author Tags

      1. Alpha Modulation
      2. Dwell Time
      3. Electroencephalography
      4. Error-Related Potential
      5. Eye Tracking
      6. Gaming
      7. Human-Computer Interaction
      8. Multimodal Input
      9. Neuroadaptive technology
      10. Neurogaming
      11. Passive Brain-Computer Interfaces
      12. Tetris

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      ICMI '17 Paper Acceptance Rate 65 of 149 submissions, 44%;
      Overall Acceptance Rate 453 of 1,080 submissions, 42%

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      • (2024)Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XRProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641925(1-17)Online publication date: 11-May-2024
      • (2024)Intention to Adopt Digital Games for Safety Training in Young Farm Operators: The Role of Ease of Use, Perceived Usefulness, and Game Design CharacteristicsInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2310353(1-10)Online publication date: 6-Feb-2024
      • (2024)How fast can we play Tetris greedily with rectangular pieces?Theoretical Computer Science10.1016/j.tcs.2024.114405992:COnline publication date: 21-Apr-2024
      • (2022)A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological StatesSensors10.3390/s2220782422:20(7824)Online publication date: 14-Oct-2022
      • (2022)Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and ReuseACM Transactions on Computer-Human Interaction10.1145/349055429:4(1-43)Online publication date: 31-Mar-2022
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      • (2021)Single-Trial Recognition of Video Gamer’s Expertise from Brain Haemodynamic and Facial Emotion ResponsesBrain Sciences10.3390/brainsci1101010611:1(106)Online publication date: 14-Jan-2021
      • (2021)Enhancing In-game Immersion Using BCI-controlled MechanicsProceedings of the 27th ACM Symposium on Virtual Reality Software and Technology10.1145/3489849.3489862(1-6)Online publication date: 8-Dec-2021
      • (2021)Multimodal Motor Imagery BCI Based on EEG and NIRS2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)10.1109/ICEST52640.2021.9483551(73-76)Online publication date: 16-Jun-2021
      • (2019)MindTrainProceedings of Mensch und Computer 201910.1145/3340764.3344884(643-647)Online publication date: 8-Sep-2019
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