Responses to redundant signals from different sensory modalities are typically faster than responses to the uni-sensory components. This redundant signals effect (RSE) has been extensively studied not only with an impressive variety of signals, covering all five classic senses, but also with different subject populations focusing on development, aging, and clinical samples. The RSE-box is an analysis and modelling toolbox that provides Matlab functions to analyse the RSE on the level of response time distributions. The functionality of the toolbox is exemplified by demo code and each RSE-box function includes help documentation, which can be called with help functionName in Matlab’s command window.
Download: RSE-box (v1.0)
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Reference:
Otto TU (2019). RSE-box: An analysis and modelling package to study response times to multiple signals. The Quantitative Methods for Psychology, 15(2), 112–133. DOI
Example studies:
Innes BR, & Otto TU (2019). A comparative analysis of response times shows that multisensory benefits and interactions are not equivalent. Scientific Reports, vol. 9, 2921. DOI
Chua SFA, Yue L, Harris J & Otto TU (2022). No selective integration required: A race model explains responses to audiovisual motion-in-depth. Cognition, 227, 105204. DOI
Roberts K, Jentzsch I, & Otto TU (2024). Semantic congruency modulates the speed-up of multisensory responses. Scientific Reports, 14, 567. DOI