Upcoming Oral Candidacy - Cory Hayes
|Start:||4/11/2014 at 2:00PM|
|End:||4/11/2014 at 4:30PM|
|Location:||117J Cushing Hall|
Cory Hayes, April 11, 2014, 2:00 pm, 117J Cushing Hall
Advisor: Dr. Laurel Riek
Dr. Chuck Crowell, Dr. Selma Sabanovic (IU), Dr. James Schmiedeler,
Dr. Aaron Striegel
"Exploring Behavioral Personality Metrics for Human-Robot Interaction"
"Social robots are a unique form of technology that hold the potential to significantly affect society as they become more widespread in aspects of everyday life. Robots have already been used in domains such as healthcare, companionship, rehabilitation, assisted living, education, homes and entertainment, and they are expected to eventually become a ubiquitous technology.
Within these domains, robots interact with people from all kinds of backgrounds. Each person has a large set of qualities that make him or her unique. These qualities affect how an individual forms expectations of and interacts with a robot, and ultimately influences the overall quality of the interaction. If robots are to become a widely accepted technology, human-robot interaction (HRI) researchers must take into account the wide range of human qualities that define a person. However, this is a very large problem space to address.
My planned research will target a subset of this problem space by focusing on human personality in regards to HRI. Personality underlies the way people behave, how they perceive the world, and both short-term and long term mental states.I will focus on user responses to robot actions by evaluating and analyzing the two types of observable manifestations of personality: attitude and personality traits. Analysis will primarily focus on the relationship between user action and underlying personality during human-robot interaction. This will be accomplished through a combination of personality assessments and quantitative measurements of user actions in response to robot behavior.
This relationship could allow for the creation of personality metrics for HRI that can be implemented in robot behavioral programming to automatically detect personality cues while robots interact with their users. Such a prospect would help inform the design of truly personalized robots that would reflect the individuality of their users."