1. Seeing and Acting in a Virtual World PSY 341K Class hours: Tues, Thurs 9.30-11 Room 4-242, SEAY Instructor: Professor Mary Hayhoe SEAY Room 5-238 X5-9338 mary@mailcps.utexas.edu Office hours: Anytime by appointment TA: David Lewis david.lewis@mail.utexas.edudavid.lewis@mail.utexas.edu Co-instructor: Gabriel Diaz gdiaz@mail.cps.utexas.edu Web Site:http://homepage.psy.utexas.edu/homepage/class/psy341K/hayhoe/

2. Organization 1. Four experiments, approximately 3 weeks each. 2. Background lectures, data collection, analysis, presentation; emphasis on class discussion. 3. Groups of 4/5. 4. Requirements: 4 papers, 2 exams (short answer), attendance/participation/presentations. 5. Readings/lectures etc on web site.

3. The great unsolved problem: How does the brain control behavior? Phrenology Localization of function

4. Even simple actions involve many parts of the brain. action plan Size, direction velocity motivation signals to muscles coordinate feedback respiration heart rate memory Initiate sequence targeting

5. Classical Methods What are the physical limits of Vision?

6. How accurate are eye movements? What is the peak velocity? What brain regions control eye movements? A Typical Experiment

7. Why do some objects “pop out”? An Experiment on Searching for Objects

8. And why are they sometimes hard to find?

9. Questions we might like to ask: Where do we look in a scene in everyday life? What information do we need? How do we locate the information we need? How are the movements controlled?

10. Why virtual reality? Technological advances: 1. measurement of complex eye, head, hand movements 2. high speed image processing allows complex virtual environments that can be controlled experimentally 3. head mounted displays, tactile feedback Natural behavior unexplored. Need to validate (or not) results from simpler paradigms. The CPS Virtual Reality Lab – a unique opportunity

11. What you’ll learn - Basic properties of perception, movements, and attention - Understanding the research process: the question, design of experiments, data analysis, making conclusions, communication. - Original contributions/ discoveries. Thinking independently.

12. Difficult things about this course - no good text - fragmentary - lack of background - data analysis - presentations

13. DateTopic Jan 17 Overview of the course: understanding human actions Introduction to Virtual Reality lab. Jan 19Using our Eyes in Everyday Tasks: Lecture: The nervous system, vision, and motor control. The eye and eye movements Rosenbaum Ch 5, Land paper. Jan 24Lab: tracking the eyes while catching balls. Jan 26Lab: tracking the eyes. Jan 31 Lecture: Interpreting the data Feb 2Discussion of Findings/ class presentations

15. Feb 7Interdependence of Vision and Action: Lecture Paper 1 due Feb 9 Vision and movement. (Rosenbaum Ch 2) Feb 14 Lab Intercepting virtual targets Feb 16Lab: ctd Feb 21Understanding the data Feb 23Discussion of Findings / class presentations Feb 28 ReviewPaper 2 due Mar 1Mid-term

16. Virtual racquetball: Nvis helmet, Arrington eye-tracker, PhaseSpace head/hand/racquet tracking, ODE to control ball and racquet interactions Gabe Diaz

17. Mar 06Learning Where to Look: lecture Mar 8Lecture Mar 13, 15 Spring Break Mar 20 Lab: Avoiding virtual pedestrians Mar 22Lab: ctd Mar 27Discussion of Outcome Mar 29Class Presentations

18. Gaze allocation when walking in a real environment Things to do: control direction, avoid obstacles, foot placement, characterize surroundings etc cf Walter: normal vision involves sets of sub-tasks or modules – need to allocate attention effectively between sub-tasks. Portable ASL eyetracker Oval path around large room pedestrians (Jovancevic & Hayhoe, 2009 J Neurosci)

19. How are gaze targets chosen?

20. Apr 3 Attention & Vision: Lecture Paper 3 due Apr 5 Lecture: attention and eye movements in natural environments Apr 10 Lab: Walking in a Virtual Apartment Apr 12 Lab: ctd Apr 17Understanding the data Apr 19Class presentations Apr 24 Lecture: Uses of virtual environments Apr 26Review May 1Review May 3 Final ExamPaper 4 due

22. Grading: Papers 1-4: 15% each. Midterm and Final: 15% each; Attendance: 5%; Presentations and class discussion: 5%) Papers: 7-10 pages (typewritten, double spaced) reporting the results of the lab experiments. Can re-write papers. Exams - short answer questions. Midterm: first half of course. Final: second half of the course Exams cover : class material, labs, and readings.