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VTQA: behavioral data from studies on compression ratios in vibrotactile signal processing.

Evelyn Muschter^1,2,3, Lars Nockenberg^4,5, Shu-Chen Li^4,6

¹Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, 01062, Germany. evelyn.muschter@tu-dresden.de.

BMC Research Notes

|May 14, 2026

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This dataset aids research on transmitting vibrotactile signals, focusing on reducing delay and bandwidth while maintaining human sensory quality through compression. It evaluates tactile codec performance for efficient data transmission.

Area of Science:

Haptic technology
Human-computer interaction
Signal processing

Background:

Digital transmission of vibrotactile signals presents challenges in balancing data size with perceptual quality.
Efficient compression is crucial for real-time haptic feedback systems over networks.

Purpose of the Study:

To create a dataset for researching the transmission of digitized vibrotactile signals.
To evaluate the impact of compression on perceived quality and identify optimal compression strategies.

Main Methods:

Collected perceptual ratings from two user studies.
Assessed vibrotactile signals compressed with various single-point tactile codecs.
Analyzed subjective quality ratings across different compression ratios.

Keywords:

Compression ratios Human sensory experience Perceptual ratings Tactile codecs Vibrotactile signals

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Main Results:

User studies provided data on the perceptual quality of compressed vibrotactile signals.
Evaluated the trade-off between compression ratio and data fidelity.
Identified compression impacts on human sensory experience.

Conclusions:

The dataset facilitates research into efficient vibrotactile signal transmission.
Findings inform the development of compression algorithms that preserve perceptual quality.
Highlights the importance of user-centric evaluation in haptic codec design.