Organizational Unit:
Socially Intelligent Machines Lab

Permanent Link
https://hdl.handle.net/1853/70784
Research Organization Registry ID
Description
Previous Names
Parent Organization
Parent Organization
Organizational Unit
Includes Organization(s)
ArchiveSpace Name Record
https://finding-aids.library.gatech.edu/agents/corporate_entities/1114

Filters

2011 1
1
1
1
1
Reset filters

Settings
Author: Bobick, Aaron F. × Author: Kiser, Jeffrey F. × End date: 2014 × Start date: 2010 × search.filters.applied.f.resourcesubtype: Pre-print ×

Publication Search Results

Now showing 1 - 1 of 1
Thumbnail Image
Item

Vision-based Contingency Detection

2011 , Lee, Jinhan , Kiser, Jeffrey F. , Bobick, Aaron F. , Thomaz, Andrea L.

We present a novel method for the visual detection of a contingent response by a human to the stimulus of a robot action. Contingency is de ned as a change in an agent's be- havior within a speci c time window in direct response to a signal from another agent; detection of such responses is essential to assess the willingness and interest of a human in interacting with the robot. Using motion-based features to describe the possible contingent action, our approach as- sesses the visual self-similarity of video subsequences cap- tured before the robot exhibits its signaling behavior and statistically models the typical graph-partitioning cost of separating an arbitrary subsequence of frames from the oth- ers. After the behavioral signal, the video is similarly ana- lyzed and the cost of separating the after-signal frames from the before-signal sequences is computed; a lower than typ- ical cost indicates likely contingent reaction. We present a preliminary study in which data were captured and analyzed for algorithmic performance.

View