Day 9: (Tue Sep 23, Week 5) Guest Lecture: HRI Behavior Analysis Workshop¶
Notes for 2025-09-23.
Assignments¶
Due today: Exercise: Machine Vision. Please post results to Assignment 5 Shared Folder.
I’ll be reviewing your results before Thursday; we will then both discuss your work to date and additional techniques to fill in your understanding.
Administrative¶
Medium-term objectives:
week 5: design a medium-fidelity implementation
week 6:
week 7: field trials to evaluate concept
Agenda¶
Today the entire class will be devoted to a workshop developed by our guest lecturer, Dr. Pragathi Praveena.
Trash Barrel Robot video analysis (45 minutes)
Part 1: Setting up the scene. Quick analysis of the the context for the human-robot interaction so we understand who, what, when, where, and why.
Part 2: Robot and human behaviors. Identifying the subtle sequence of actions involved in a human-robot interaction.
Part 3: Reflection. Naming the specific physical behaviors which fulfill the purpose.
Group Project analysis (60 minutes)
Part 1: Setting up the scene. Identifying your own options for the interaction context.
Part 2: Robot and human behaviors. Bodystorming physical actions constituting an interaction.
Part 3: Reflection. Identifying concrete, physical behaviors to create an interaction.
Trash Barrel Robot Video¶
References¶
The worksheet handed out for todays activities: readings/day9-HRI-worksheet.pdf
The first part will use video of the trash barrel robot project published in conjunction with several papers:
[4] F. Bu, I. Mandel, W.-Y. Lee, and W. Ju, “Trash Barrel Robots in the City,” in Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, in HRI ’23. New York, NY, USA: Association for Computing Machinery, Mar. 2023, pp. 875–877. https://doi.org/10.1145/3568294.3580206
[3] B. Brown, F. Bu, I. Mandel, and W. Ju, “Trash in Motion: Emergent Interactions with a Robotic Trashcan,” in Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, in CHI ’24. New York, NY, USA: Association for Computing Machinery, May 2024, pp. 1–17. https://doi.org/10.1145/3613904.3642610