Simulation data of the inattention paper

The simulation data is described and employed in paper 'How Does Inattention Influence the Robustness and Efficiency of Adaptive Procedures in the Context of Psychoacoustic Assessments via Smartphone?'.

The simulation data set includes two parts: robustness and efficiency.

In total 7 different adaptive procedures are compared:

Maximum likelihood procedure (MLP) [2]

Single interval adjustment matrix (SIAM) [3]

Single interval up and down (SIUD) [4]

Automated pure-tone audiometry (APTA) [1]

GRaBr

Updated maximum likelihood procedure (UML) [5]

QUEST+ [6]

DESCRIPTION OF THE DATA SET

efficiency_data.csv contains 7 columns: method (name of the adaptive procedure), minreversal (minimum number of reversal), mean (mean of thresholds), std (standard deviations of thresholds), N (number of trials), type (type of inattention, L: long-term, S: short-term), listener (degree of inattention, NC: non-concentrated, MC: moderately-concentrated, FC: fully concentrated).

*_robustness.csv or .xlsx: results of robustness comparisons for seven methods, including 5 columns: threshold (value of thresholds), N, method, listener, type (same as mentioned above)

ACKNOWLEDGMENTS

This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2177/1 - Project ID 390895286. Major support for writing the manuscript was provided by Adele Diederich.

Reference:

[1] Bisitz, T., and Silzle, A. (2011). “Automated pure-tone audiometry software tool with extended frequency range,” in Audio Engineering Society Convention 130, Audio Engineering Society.

[2] Green, D. M. (1993). “A maximum-likelihood method for estimating thresholds in a yes–no task,” The Journal of the Acoustical Society of America 93(4), 2096–2105.

[3] Kaernbach, C. (1990). “A single-interval adjustment-matrix (siam) procedure for unbiased adaptive testing,” The Journal of the Acoustical Society of America 88(6), 2645–2655.

[4] Lecluyse, W., and Meddis, R. (2009). “A simple single-interval adaptive procedure for estimating thresholds in normal and impaired listeners,” The Journal of the Acoustical Society of America 126(5), 2570–2579.

[5] Shen, Y., and Richards, V. M. (2012). “A maximum-likelihood procedure for estimating psychometric functions: Thresholds, slopes, and lapses of attention,” The Journal of the Acoustical Society of America 132(2), 957–967.

[6] Watson, A. B. (2017). QUEST+: A general multidimensional Bayesian adaptive psychometric method. Journal of Vision, 17(3), 10-10.