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Auflistung nach Autor:in "Russwinkel, Nele"

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  • Zeitschriftenartikel
    Project Report: Requirements for a Social Robot as an Information Provider in the Public Sector
    (KI - Künstliche Intelligenz: Vol. 38, No. 3, 2024) Sievers, Thomas; Russwinkel, Nele
    Is it possible to integrate a humanoid social robot into the work processes or customer care in an official environment, e.g. in municipal offices? If so, what could such an application scenario look like and what skills would the robot need to have when interacting with human customers? What are requirements for this kind of interactions? We have devised an application scenario for such a case, determined the necessary or desirable capabilities of the robot, developed a corresponding robot application and carried out initial tests and evaluations in a project together with the Kiel City Council. One of the most important insights gained in the project was that a humanoid robot with natural language processing capabilities based on large language models as well as human-like gestures and posture changes (animations) proved to be much more preferred by users compared to standard browser-based solutions on tablets for an information system in the City Council. Furthermore, we propose a connection of the ACT-R cognitive architecture with the robot, where an ACT-R model is used in interaction with the robot application to cognitively process and enhance a dialogue between human and robot.
  • Workshopbeitrag
    Time Matters - Even (more so) in Human-Robot Interactions
    (Mensch und Computer 2023 - Workshopband, 2023) Russwinkel, Nele; Wiese, Eva
    Robots are more and more integrated into everyday environments, which makes it essential to examine how to design them so that humans are motivated and capable to interact with them. An important challenge for robotics is to determine how to design robotsthat accurately infer the human interaction partner’s goals, intentions, and emotional states, and are able to adapt to their actions in time and space. Certain aspects of this challenge can be addressed through appropriate design of robot appearance and behavior, and equipping robots with appropriate models of social cognition. Other aspects, however, arise on the human side of the “equation”, where lifelong experience with human interaction partners raises certain expectations of how verbal and nonverbal social cues are supposed to be interpreted, how actions are supposed to be coordinated and how emotional and motivational states are supposed to be communicated. If a robot meets these expectations, humans can interact with it quite intuitively, make accurate predictions regarding its actions and intentions, and interpret its social signals with ease. The question is how robots can be equipped with representations to meet these expectations. Most robots, however, violate anthropomorphic expectations in terms of their appearance, behavior and cognition, which can negatively impact performance, affect and motivation in human-robot interaction. In this paper, we discuss how the interplay between robots’ actual capabilities and human expectations regarding these capabilities imposes challenges specifically for the time- dependent aspects of social human-robot interactions.