Skip to main content

Learning Joint Actions in Human-Human Interactions


Abstract Understanding human-human interactions during the performance of joint motor tasks is critical for developing rehabilitation robots that could aid therapists in providing effective treatments for motor problems. However, there is a lack of understanding of strategies (cooperative or competitive) adopted by humans when interacting with other individuals. Previous studies have investigated the cues (auditory, visual and haptic) that support these interactions but understanding how these unconscious interactions happen even without those cues is yet to be explained. To address this issue, in this study, a paradigm that tests the parallel efforts of pairs of individuals (dyads) to complete a jointly performed virtual reaching task, without any ... (more)
Created Date 2016
Contributor Agrawal, Ankit (Author) / Buneo, Christopher (Advisor) / Santello, Marco (Committee member) / Tillery, Stephen Helms (Committee member) / Arizona State University (Publisher)
Subject Biomedical engineering / Behavioral sciences / Behavioral psychology / Human-human interactions / Joint Actions
Type Masters Thesis
Extent 73 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Bioengineering 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


  Full Text
1.0 MB application/pdf
Download Count: 670

Description Dissertation/Thesis
  Agrawal_A_Consent.pdf
148.2 KB application/pdf
Download Count: 64

Description Consent form