[Paper Review] Mixing Board Versus Mouse Interaction In Value Adjustment Tasks

Steven Bergner, Matthew Crider+2 more|arXiv (Cornell University)|Oct 11, 2011

Interactive and Immersive Displays22 references3 citations

TL;DR

This study compares a haptically enhanced mixing board with a mouse for adjusting multiple numeric parameters, finding that the mixing board significantly reduces task completion time and perceived cognitive load. The advantage stems from faster acquisition and transition times between sliders, not manipulation speed, with velocity correlation revealing improved simultaneity in multi-slider adjustments.

ABSTRACT

We present a controlled, quantitative study with 12 participants comparing interaction with a haptically enhanced mixing board against interaction with a mouse in an abstract task that is motivated by several practical parameter space exploration settings. The study participants received 24 sets of one to eight integer values between 0 and 127, which they had to match by making adjustments with physical or graphical sliders. Based on recorded slider motion path data, we developed an analysis algorithm that identifies and measures different types of activity intervals, including error time moving irrelevant sliders and end time in breaks after completing each trial item. Our results showed a significant increase in speed of the mixing board interaction accompanied by reduced perceived cognitive load when compared with the traditional mouse-based GUI interaction. The gains in speed are largely due to the improved times required for the hand to reach for the first slider (acquisition time) and also when moving between different ones, while the actual time spent manipulating relevant sliders is very similar for either input device. These results agree strongly with qualitative predictions from Fitts' Law that the larger targets afforded by the mixer handles contributed to its faster performance. For further investigation, we computed a measure of motion simultaneity based on velocity correlation, which allowed to identify types of items for which increased simultaneous adjustments occur. For continuous parameter space exploration our findings suggest that mixing boards are a good option to provide detailed multi-value control. The strengths of this input method particularly show in settings where screen space is precious and undisrupted visual focus is crucial.

Motivation & Objective

• To quantitatively evaluate the performance and cognitive load differences between a tangible mixing board and a mouse in multi-parameter adjustment tasks.
• To investigate how tangible interaction with physical sliders affects acquisition time, movement time, and user workload.
• To analyze motion path data to decompose interaction into activity intervals for improved data cleaning and outlier detection.
• To explore the potential of mixing boards in parameter space exploration where visual focus and screen space are critical.
• To identify design principles for optimal slider placement to support simultaneous, correlated adjustments.

Proposed method

• Conducted a controlled experiment with 12 participants performing 24 trials of adjusting 1–8 integer values (0–127) from a default of 64.
• Recorded detailed slider motion path data using a BCF2000 mixing board with motorized sliders and a GUI-based mouse interface.
• Developed an analysis algorithm to decompose interaction time into acquisition, movement, and break intervals for precise data cleaning and outlier removal.
• Introduced a velocity correlation measure to quantify motion simultaneity and identify types of tasks where parallel adjustments occur.
• Used RtMidi and Qt to synchronize physical slider positions with graphical counterparts and log trial outcomes.
• Randomized trial order via an XML-based experimental driver to ensure balanced and reproducible conditions.

Experimental results

Research questions

• RQ1 Does a mixing board reduce task completion time compared to a mouse in multi-value adjustment tasks?
• RQ2 How does the cognitive load of mixing board interaction compare to mouse-based GUI interaction?
• RQ3 To what extent do acquisition and transition times differ between the two input methods?
• RQ4 Can velocity correlation identify patterns of simultaneous slider adjustments in parameter space exploration?
• RQ5 How does the performance advantage of the mixing board scale with the number of sliders manipulated?

Key findings

• The mixing board reduced overall task completion time significantly compared to the mouse, with a statistically significant difference in favor of the tangible interface.
• The primary performance gain came from reduced acquisition time (time to reach the first slider) and between-time (time to move between sliders), not from faster manipulation of task-relevant sliders.
• Manipulation time—time spent adjusting relevant sliders—was nearly identical between the two devices, indicating that the core adjustment task is equally efficient.
• Participants reported lower perceived cognitive load when using the mixing board, supporting qualitative findings from prior studies.
• The advantage of the mixing board increased with the number of sliders, particularly in tasks requiring coordinated, simultaneous adjustments.
• Velocity correlation analysis revealed that parameters requiring correlated adjustments benefit most when placed adjacent on the board, enabling more effective exploration of multi-dimensional subspaces.