Telemetry-Based Haptic Rendering for Racing Game Experience Improvement.

Area of Science:

• Human-Computer Interaction
• Game Development
• Haptics

Background:

• Modern games, particularly racing and flight simulators, increasingly provide access to real-time game telemetry data.
• This telemetry data offers valuable input for creating more realistic haptic feedback, a technique already adopted by the gaming industry.
• The proposed method is applicable to any application that exports runtime telemetry data.

Purpose of the Study:

• To investigate the effectiveness of using game telemetry data for haptic rendering to improve user experience in video games.
• To develop and evaluate novel telemetry-based haptic rendering algorithms for car racing games.

Main Methods:

• Developed three distinct haptic rendering algorithms utilizing game telemetry data: car engine response, collision detection, and road surface texture simulation.
• Implemented a haptics-enabled driving platform to integrate and test the algorithms.
• Conducted a comparative user study evaluating telemetry-based haptic feedback against conventional sound-to-tactile conversion techniques.

Main Results:

• Telemetry-based haptic rendering algorithms successfully simulated key driving elements: engine feedback, collisions, and road texture.
• User study results indicated a preference for telemetry-based haptic effects over sound-based effects.
• The haptic rendering module operated as an efficient, modular, and non-intrusive parallel process.

Conclusions:

• The approach of leveraging game telemetry data for haptic rendering is viable and significantly improves the user experience in racing games.
• Telemetry-based haptic feedback offers a superior alternative to sound-based methods for enhancing immersion and realism in interactive entertainment.
• This modular and efficient approach can be applied to a wide range of applications beyond gaming that utilize runtime telemetry data.