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Related Experiment Video

Updated: Jun 20, 2026

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

Sonification design for complex work domains: dimensions and distractors.

Janet E Anderson¹, Penelope Sanderson

¹School of Psychology, The University of Queensland. janet.anderson@kcl.ac.uk

Journal of Experimental Psychology. Applied

|September 16, 2009

Summary

Sonification, representing data in sound, effectiveness depends on how auditory dimensions interact. Understanding these interactions is key for designing better auditory displays for monitoring dynamic processes.

Related Experiment Videos

Last Updated: Jun 20, 2026

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

Area of Science:

Human-Computer Interaction
Auditory Perception
Information Display

Background:

Sonification, the use of sound to represent data, offers potential for monitoring dynamic processes.
Prior research has limited the scope of auditory dimensions and interactions studied.
Systematic investigation of auditory dimension interactions is needed to optimize sonification effectiveness.

Purpose of the Study:

To investigate the accuracy of identifying changes in six auditory dimensions of a pulse stream.
To systematically examine the impact of auditory dimension interactions on sonification performance.
To explore the effects of varying numbers of distractors on auditory change detection.

Main Methods:

Three experiments were conducted using a continuous pulse stream.
Auditory dimensions such as amplitude, frequency, harmonics, speed, tremolo, and width were manipulated.
Accuracy was measured under conditions with no, one, or five distractors, with variations in tremolo operationalization and amplitude contour.

Main Results:

Accuracy varied across auditory dimensions, with formants showing particularly low accuracy in Experiment 3.
Significant positive and negative interactions between dimensions were identified, impacting performance.
Different operationalizations of temporal dimensions (tremolo) led to different interaction patterns.

Conclusions:

The effectiveness of sonification is influenced by complex interactions between auditory dimensions.
Theories of perceptual interference in auditory dimensions can explain observed performance patterns.
Findings provide insights for designing more effective auditory displays for human operators.