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Why axis inversion? Optimizing interactions between users, interfaces, and visual displays in 3D environments.

Jennifer E Corbett1, Jaap Munneke2

  • 1Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Room 32-D426, 32 Vassar St, Cambridge, MA, 02139, USA. jennifer.e.corbett@gmail.com.

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Summary
This summary is machine-generated.

Understanding why gamers invert the y-axis control is key to improving performance in video games and surgery. This research synthesizes studies to create a framework for analyzing control schemes and user performance.

Keywords:
3D gamingControl mappingHuman computer interactionSpatial orientationStimulus–response-effect compatibilityVirtual environmentsY-axis inversion

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Human Factors Engineering

Background:

  • User adaptation to control schemes significantly impacts performance in diverse fields, from gaming to surgery.
  • Fragmented research across disciplines impedes a unified understanding of user-interface-display spatial relationships.
  • Methodological inconsistencies contribute to conflicting results in performance studies.

Purpose of the Study:

  • To investigate the reasons behind y-axis inversion preference in video game players.
  • To establish a foundation for understanding how control schemes influence user performance.
  • To propose a general framework for assessing sensorimotor compatibility across various applications.

Main Methods:

  • Multidisciplinary literature synthesis to clarify existing findings and identify inconsistencies.
  • Exploration of behavioral and cognitive factors influencing y-axis inversion preference in experienced gamers.
  • Development and application of a general-purpose framework to evaluate performance in gaming and surgical contexts.

Main Results:

  • Preliminary results identify key behavioral and cognitive factors related to y-axis inversion preference.
  • A novel framework is proposed for systematically investigating control inversion and visual input effects on perception and performance.
  • The framework demonstrates utility in evaluating performance for laparoscopic surgery and predicting sensorimotor compatibility.

Conclusions:

  • A unified understanding of control scheme impact requires interdisciplinary collaboration.
  • The proposed framework offers a systematic approach to assess sensorimotor compatibility in real-world scenarios.
  • This research provides a foundation for optimizing user performance through improved control scheme design.