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A Framework for Measuring Human Uncertainty of Autonomous Vehicles with Specific Attention to the Inclusion of Empathy: Can Human Eyes Reveal Surprise?
No full textabstract: Currently, autonomous vehicles are being evaluated by how well they interact with humans without evaluating how well humans interact with them. Since people are not going to unanimously switch over to using autonomous vehicles, attention must be given to how well these new vehicles signal intent to human drivers from the driver’s point of view. Ineffective communication will lead to unnecessary discomfort among drivers caused by an underlying uncertainty about what an autonomous vehicle is or isn’t about to do. Recent studies suggest that humans tend to fixate on areas of higher uncertainty so scenarios that have a higher number of vehicle fixations can be reasoned to be more uncertain. We provide a framework for measuring human uncertainty and use the framework to measure the effect of empathetic vs non-empathetic agents. We used a simulated driving environment to create recorded scenarios and manipulate the autonomous vehicle to include either an empathetic or non-empathetic agent. The driving interaction is composed of two vehicles approaching an uncontrolled intersection. These scenarios were played to twelve participants while their gaze was recorded to track what the participants were fixating on. The overall intent was to provide an analytical framework as a tool for evaluating autonomous driving features; and in this case, we choose to evaluate how effective it was for vehicles to have empathetic behaviors included in the autonomous vehicle decision making. A t-test analysis of the gaze indicated that empathy did not in fact reduce uncertainty although additional testing of this hypothesis will be needed due to the small sample size. (abstract
Behavioral Coding of Dog Play in a Shelter Setting: Determining Relationships Between Time Spent in Three Types of Interactions and Physiological Measurements
No full textabstract: Animal shelters are stressful environments for dogs and a plethora of research has been conducted on interventions aimed at improving the welfare of these animals. One type of intervention is social interaction, either between dogs and people or dogs and conspecifics. To investigate the types of social interaction dogs engage in and the impact of that contact on their welfare, 12 dogs were enrolled to participate in group sessions with other dogs, supervised by staff, in a shelter setting. There were three, 15-minute sessions per day across three days in which groups of two to four dogs were observed and recorded on video. These videos were then analyzed per dog for three types of interactions: dog-dog, dog-human, and dog-environment. It was found that the dogs spent significantly more time engaging with the staff members in the room than with conspecifics or the environment. Physiological measurements, including cortisol and S-IgA levels, were taken using urinary and fecal samples obtained both in the morning prior to these interaction sessions and after the final interaction of the day. No significant correlations were found between the amount of time that the dogs spent in each type of interaction and dogs’ cortisol or S-IgA levels. However, smaller statistical effects suggest that human interaction may correspond with decreased stress the day after interaction while conspecific interaction may be related to increases in stress the following day. Overall, these findings suggest that social interaction, particularly with people, may be beneficial, and should be further explored as a method to enhance the well-being of shelter dogs. (abstract
Patrick Feher, saxophone
No full textRodney RogersFrancis PoulencAlfred DesenclosEric P. MandatTakashi Yoshimats
