ISYE 348 Fall 2024 Lab 3
2024-09-30
This lab assignment is due by 23:59 on 2024-09-30. If you have any questions or need clarification, please reach out to me via email or during office hours. The report will be graded on 20 points based on the following criteria:
Criteria | Points |
---|---|
Introduction (your own words; 50-100 words) | 1 |
Methods (your own words; 100-200 words) | 2 |
Results | 6 |
Discussion | 6 |
Improvements | 2 |
Conclusion | 3 |
Submission: Please submit your report as a PDF file on Canvas. Make sure to include your name and your partner’s name at the beginning of the report. Include any code, plots, or tables as needed to support your answers. Make sure to answer all questions thoroughly and provide detailed explanations where necessary. Cite any external sources used. Submit one single pdf file with all the answers.
Collaboration with your classmates is encouraged, and you will work in pairs for this lab to complete the report. Each group should have data for part 1 (audiogram) from at least one member and part 2 (audiocons) data from all members. Please list your partner’s name at the beginning of the report. Only one submission per group is required. Must include data from both partners in the report.
Late submissions will be penalized by a 1 point deduction every hour past the deadline.
Please read the course policy on academic integrity and collaboration on the course syllabus. If you have any questions about what is permissible, please ask before submitting your work.
In this lab, we’ll explore the relationship between working memory (WM) capacity and performance under varying levels of cognitive load. We’ll use the n-back task to manipulate cognitive load, the NASA Task Load Index (NASA-TLX) to measure perceived workload, and additional subjective measures to assess the participants’ experiences. This experiment will help us understand how cognitive demands affect performance and perceived effort, which is crucial in designing user interfaces, work processes, and training programs.
Our goals for this lab are:
We’ll be using:
The experiment has three main parts. After each task/trial NASA-TLX scores and subjective ratings should be collected (total six times). The participants should also be given a short break between tasks to avoid fatigue.
Subjective question: How would you rate the overall workload required to complete this task on a scale from 0 to 10? (0 = very low, 10 = very high)
Record your results here:
Participant | WM Span Score |
---|---|
1 | |
2 |
Participant | N-back Level | n-back accuracy | n-back senstivity | n-back specificity | n-back Delay | NASA-TLX Score | |
---|---|---|---|---|---|---|---|
1 | 1-back | ||||||
2-back | |||||||
3-back | |||||||
2 | 1-back | ||||||
2-back | |||||||
3-back |
Tabulate single, audio, and visual math task results for each participant:
Participant | Task Type | n-back accuracy | n-back senstivity | n-back specificity | n-back Delay | Math Task Accuracy | Math Task Delay | NASA-TLX Score |
---|---|---|---|---|---|---|---|---|
1 | Single | |||||||
Audio | ||||||||
Visual | ||||||||
2 | Single | |||||||
Audio | ||||||||
Visual |
Compare and compute correlations between WM span, n-back performance, NASA-TLX scores, and subjective ratings (report correlation coefficients).
Include any additional graphs, tables, or figures that support your analysis (e.g. scatter plot of n-back performance vs. NASA-TLX scores).
Consider and discuss the following questions with your group:
How did the different measures (performance, NASA-TLX, subjective ratings) align or diverge? What might explain these patterns?
What are the implications of these findings for designing tasks or interfaces for individuals with different WM capacities?
How might factors like practice, motivation, or individual strategies influence the relationships we observed?
Discuss potential applications of these findings in fields such as:
What are some limitations of this study, and how might they affect the interpretation of the results?
How could you improve the experimental design or procedures in the above experiment? Or what would you do differently if you were to repeat this experiment? [please do not include the suggestion to “collect more data” or “collect data in isolated environment”]
Include a brief summary of your findings and any insights you gained from this lab. What did you learn about working memory capacity, cognitive load, and their impact on task performance and perceived workload? How might these insights be applied in real-world settings to enhance human performance and well-being? [you are not required to strictly follow this conclusion outline, feel free to include any other relevant information]
This section describes the metrics used in the analysis of N-Back task results.
Derived Metrics