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A robot mediator can enhance the quality of patient care in a health care context. Patients with Parkinson's disease can experience difficulties in precisely expressing their emotions due to the loss of control of their facial musculature, leading to their stigmatization by caregivers. To remedy this challenge, a robot mediator can be inserted into a patient-caregiver relationship. In this context,...
Previously, our lab has hypothesized that a peripheral social robot may be able to help uphold the dignity of Parkinson's patients who are stigmatized by their caregivers. The presence of a robotic agent is liable to influence the patient-caregiver relationship. Patient self-disclosure is a key element of a healthy patient-caregiver relationship. This new study examined how the apparent attentiveness...
By increasing the use of autonomous rescue robots in search and rescue (SAR), the chance of interaction between rescue robots and human victims also grows. More specifically, when autonomous rescue robots are considered in SAR, it is important for robots to handle sensitively human victims' emotions. Deception can potentially be used effectively by robots to control human victims' fear and shock as...
Social robots can benefit by adding deceptive capabilities. In particular, robotic deception should benefit the deceived human partners when used in the context of human-robot interaction (HRI). We define this kind of robotic deception as a robot's other-oriented deception and aim to add these capabilities to the robotic systems. Toward that end, we develop a computational model inspired by criminological...
Deception is a common and essential behavior in humans. Since human beings gain many advantages from deceptive capabilities, we can also assume that robotic deception can provide benefits in several ways. Particularly, the use of robotic deception in human-robot interaction contexts is becoming an important and interesting research question. Despite its importance, very little research on robot deception...
Robots learning interactively with a human partner has several open questions, one of which is increasing the efficiency of learning. One approach to this problem in the Reinforcement Learning domain is to use options, temporally extended actions, instead of primitive actions. In this paper, we aim to develop a robot system that can discriminate meaningful options from observations of human use of...
Our visual analytics tool GeneTracer, developed for the VAST 2010 genetic sequence mini challenge, visualizes gene sequences of current outbreaks and native sequences along with disease characteristics. We successfully used GeneTracer in combination with data mining techniques to solve the challenge.
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