We would like to measure the pupil size changes for each word within the background noise. We are going to use SR Experiment Builder for this and if anybody has the task ready and would like to share or has any tips we would appeciate it greatly.
Şeyma Tuğba Öztürk Here are very basic steps that you can follow:
1. Auditory Stimuli Preparation
Prepare high quality audio files for each word to be presented, ensuring that the volume level is consistent across all files.
Add background noise to each audio file or prepare a continuous background noise track to play throughout the task (Experiment Builder allows for layering sounds, so you can superimpose the word stimuli over background noise if needed. Link: https://www.sr-research.com/experiment-builder/.
2. Task Setup in Experiment Builder
In Experiment Builder, define the task structure. This may involve presenting each word with background noise in a block or randomized order.
Use the audio stimuli options to present each word at precise intervals. Configure the duration, repetition, and timing between words to meet your specifications.
3. Configuring Pupil Size Measurement
Calibrate your eye tracker in Experiment Builder to capture reliable pupil data.
Set the recording to capture the pupil size continuously or at the start and end of each word. Experiment Builder lets you change the sampling rate to suit your needs.
4. Synchronizing Word Presentation and Pupil Data
Mark each word in the timeline to help identify how the pupil responds to specific words in the noise during analysis.
If needed, add triggers to match the start and end of words with pupil data to improve tracking.
SR Research provides templates that can serve as a starting point for your experiment design. https://www.sr-research.com/support/thread-349.html.
5. Pilot and Adjust
Test the task to make sure it works. Make sure the background noise is low enough to hear the words clearly.
Data Analysis
After collecting data, use markers to analyse pupil size changes for each word. Tools like SR Research's Data Viewer can assist in this process. https://www.sr-research.com/support/thread-41.html
Further Reading
For additional insights into pupillometry and related studies, you may find the following articles useful:
Link 1 :https://www.sr-research.com/support/thread-41.html Pupillometry Webinar:
Link 2: https://www.nature.com/articles/s41598-024-73320-z Pupillometry reveals effects of pitch manipulation within and across words on listening effort and short-term memory
Link 3: https://journals.sagepub.com/doi/full/10.1177/2331216520964068 Pupil Dilation Is Sensitive to Semantic Ambiguity and Acoustic Degradation
Link 4: https://academic.oup.com/cercor/article/15/8/1261/304717The Neural Mechanisms of Speech Comprehension: fMRI studies of Semantic Ambiguity
Link 5: https://www.sciencedirect.com/science/article/pii/S0093934X1000132X The role of domain-general frontal systems in language comprehension: Evidence from dual-task interference and semantic ambiguity
Link 6: https://www.sciencedirect.com/science/article/pii/S2405844022009197 Comparing methods of analysis in pupillometry: application to the assessment of listening effort in hearing-impaired patients