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This paper describes a new methodological approach and robot system to trigger more prosocial human reactions towards a robot by transferring social-psychological principles from human-human interaction to human-robot interaction (HRI). The main idea is to trigger increased helpfulness by proactively creating similarity through dynamic emotional adaption of the robot to the mood of the human. This...
It is the aim of our research to explore how multimodal feedback can help a robot to carry out itinerary requests effectively and satisfactory for a human interaction partner. We conducted two studies to evaluate the feedback setup of the Interactive Urban Robot (IURO), which navigates through public space autonomously and finds its way by asking pedestrians for directions. In a Wizard-of-Oz (WOz)...
This paper describes the transfer of theories on prosocial behavior from Social Psychology to human-robot interaction (HRI) in terms of helpfulness shown by humans towards a robot. Theoretical foundations are given, and relevant influence factors for prosocial behavior are defined. The paper provides an overview on how these factors can be transferred to HRI and are implemented in two experimental...
In this paper, an approach is presented that allows a robot to navigate in an urban environment by following natural language route instructions. In this situation, neither maps nor GPS information are available to the robot thus it has to rely solely on the human-given route description and the observations from its sensors. An architecture for solving problems such as navigation on the sidewalk,...
In this paper, the impact of facial expressions on HRI is explored. To determine their influence on empathy of a human towards a robot and perceived subjective performance, an experimental setup is created, in which participants engage in a dialog with the robot head EDDIE. The web-based gaming application “Akinator” serves as a backbone for the dialog structure. In this game, the robot tries to guess...
As communication quality in public spaces often is impaired by noisy environment, it is difficult for a robot to retrieve missing task-information from humans. In this paper, different dialog strategies are modeled and evaluated with respect to user experience and error handling capabilities in HRI in order to cope with erroneous speech recognition. Since correct recognition of spoken language is...
This paper investigates proactive task-related Human-Robot Interaction (HRI) in human environments. The presented approach eventually aims for multi-modality by combining speech, gesture, and emotional facial mimicry. A first step is to focus on exploring the potentials and limitations of each modality in order to enable a robot to control a dialog in terms of proactive retrieval of missing task knowledge...
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