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S11 Reaction Time

The Reaction Time lesson demonstrates the effect of learning and physiological processes on reaction times. Students hear two presentation schedules of clicks through a set of headphones. With electrodes in place to record the activity of the extensor digitorum (the primary muscle used to lift a finger), the Subject lifts finger as quickly as possible after hearing a click. Students then perform a statistical analysis of the results, including: group mean, variance, and standard deviation.

Experimental Objectives

  1. Measure and compare reaction times of an individual subject using two stimulus presentation schedules: fixed intervals and pseudo-random intervals.
  2. Introduce elements of statistics into data analysis.
  3. Use statistics to determine the effects of learning on reaction times.

Tasks Performed by the Student

Videos

Biopac Student Lab Student Download

Student Prep & Distance Learning

Click the link(s) below for sample data and/or lesson procedure video(s), BSL PRO Lesson procedures (PDF) for human lessons*, and graph template files (*.gtl) for BSL PRO Lessons. If more than one .gtl is available, download the .gtl with the _suffix to match BSL version and hardware.

Lesson Hardware

This lesson requires a Biopac Science Lab (MP40) System and the following hardware. If your BScL System does not include all hardware items, expand your system by selecting required items below.

ItemNameCart
40SR-TAStimulus Response PackAdd to Cart
SCILAB-I-SRSCILAB-I with Stimulus Response PackAdd to Cart
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Optimize Event-Related EDA

Electrodermal Activity (EDA) is an objective index for understanding emotional states. Researchers measure EDA to gain insights on psychological or physiological response, leading them down the path of scientific discovery. Because EDA is so important to research, BIOPAC has created tools to optimize event-related EDA analysis. Topics include: how to identify skin conductance responses, convert stim events from E-Prime SuperLab, Presentation, Vizard, etc., into AcqKnowledge events that can used for analysis, and score skin conductance responses using the AcqKnowledge automated EDA analysis tool.

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