ATRV-Jr. Interface Human-Robot Interaction: A Straw Man approach to Interface Iteration

1. This presentation will probably involve audience discussion, which will create action items. Use PowerPoint to keep track of these action items during your presentation • In Slide Show, click on the right mouse button • Select “Meeting Minder” • Select the “Action Items” tab • Type in action items as they come up • Click OK to dismiss this box • This will automatically create an Action Item slide at the end of your presentation with your points entered. ATRV-Jr. InterfaceHuman-Robot Interaction:A Straw Man approach to Interface Iteration Rachel Mulcrone Mills College

2. Goal • Improve the INEEL Interface

3. Goal • In other words . . . • A usable and strong interface specialized for Urban Search and Rescue of competition caliber folding in unique and novel functions and features that improve the experience for the end user and ultimately, improve performance.

4. Overview • Background • Competitor Interfaces • Interface design • Future Directions

5. Background • Search and Rescue • Human-Robot Interaction • Human-Computer Interaction

6. Background:Search and Rescue • National Institute of Standards and Technology (NIST) • 2003 IJCAI AAAI • 1st INEEL • 2nd Swarthmore

7. Background:Search and Rescue • Some known HRI issues in USAR • Bumping (Over 40% rear hits) • Camera pan awareness • Situation awareness • Pitch and roll

8. Background: HRI • Taxonomy Human-robot interaction currently takes many forms. Dangerous tasks, such as urban search and rescue [Casper 2002, Casper and Murphy 2002] and hazardous material clean up [Bruemmer, Marble and Dudenhoffer 2002], require a human operator to be removed from the physical location of the robot. Robots that assist the elderly [Haigh and Yanco 2002] and the handicapped [Mittal et al. 1998] share the same physical space with their users, often transporting them through the world. Others, such as Sony’s Aibo, provide entertainment and companionship for people • Yanco and Drury (2002)

9. Background: HCI • Evaluation methods • Testing 3-5 Subjects • Nielson

10. HCI Models Mental Models • User’s understanding of how a system works. System Models • Way the system works from programmers perspective. Design Model • The way the designer represents the system to the user. Norman

11. Interface Design • Survey of selected USAR competitors • UMass Lowell

12. Rochester - IJCAI/AAAI 2003 • Map

13. Rochester - IJCAI/AAAI 2003 • Surroundings: terrain and obstacles • Distracting colors: map relative to video • Readability: black on white vs white on black

14. Swarthmore - IJCAI/AAAI 2003

15. Swarthmore - IJCAI/AAAI 2003 • Window management • Development tools

16. New Orleans - IJCAI/AAAI 2003

17. New Orleans - IJCAI/AAAI 2003 • Window management • Small video

18. Mitre - AAAI 2004(screenshot from Robocup 2003)

19. Mitre - AAAI 2004 • Multi-step controls for simple tasks

20. INEEL - IJCAI/AAAI 2003

21. INEEL - IJCAI/AAAI 2003 • TMI • Control • User Experience (final runs)

22. % Map and Video %

23. % Map and Video % Mitre Video: 8.72% Map 57.43% Rochester Video: 25.3% Map 45.46% Swarthmore Video: 14.57% Map 13.98% New Orleans Video: 9.11% Map 20.79%

24. % Map and Video %

25. % Map and Video % INEEL Video: 10.18% Map 8.26%

26. % Map and Video %

27. % Map and Video % UMass Lowell Video: 26.96% Map 18.89%

28. %Map and Video Summary%

29. Interface Design: UMass Lowell

30. Interface Design: UMass Lowell

31. Interface Design: UMass Lowell • Camera tilt and pan overlay • Rear camera • Controls • Responsive interface

32. Interface Design: UMass Lowell • To test: • Camera positioning • Rear front toggle (animation) • Map • Sonars

33. Resources • This Presentation and my DMP website: • www.mercury.cs.uml.edu/~rmulcron • Human-Computer Interaction • Jakob Neilson’s Use It site • www.useit.com • Donald Norman’s jnd.org • www.jnd.org • NIST USAR site • http://www.isd.mel.nist.gov/projects/USAR/

34. Thank YouHolly, Brenden, Bobby, Marbella, Andrew, Mike, and Phil for a great summer.