Publications by authors named "Katrin Lohan"

This paper presents a novel webcam-based approach for gaze estimation on computer screens. Utilizing appearance based gaze estimation models, the system provides a method for mapping the gaze vector from the user's perspective onto the computer screen. Notably, it determines the user's 3D position in front of the screen, using only a 2D webcam without the need for additional markers or equipment.

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Article Synopsis
  • Smart speakers are commonly used at home for various tasks but face acceptance challenges in workplaces, potentially due to privacy concerns and their lack of social cues.
  • A study compared the effectiveness of a humanoid robot, a smart speaker, and a dialogue manager in a first responder team setting, examining trust, engagement, and performance.
  • Results showed that the humanoid robot was more trusted and led to better task engagement and performance than the smart speaker, suggesting that more human-like embodiments could improve the adoption of conversational agents in professional environments.
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Most collaborative tasks require interaction with everyday objects (e.g., utensils while cooking).

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Social robots perform tasks to help humans in their daily activities. However, if they fail to fulfill expectations this may affect their acceptance. This work investigates the service degradation caused by recharging, during which the robot is socially inactive.

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This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning interact and co-develop: individual learning about one's own embodiment and the environment, social learning (learning from others), and learning of linguistic capability. Our primary concern is how these capabilities can scaffold each other's development in a continuous feedback cycle as their interactions yield increasingly sophisticated competencies in the agent's capacity to interact with others and manipulate its world.

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In order for artificial intelligent systems to interact naturally with human users, they need to be able to learn from human instructions when actions should be imitated. Human tutoring will typically consist of action demonstrations accompanied by speech. In the following, the characteristics of human tutoring during action demonstration will be examined.

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