Prof.’in Dr. Carolin Straßmann

AUSGEWÄHLTE PUBLIKATIONEN

•  
• anthropomorphic robot arm anthropomorphism arm movement model artificial skin attractor dynamics approach Autonomous robotics BCI behavior generation direct physical interaction Dynamical systems EEG haptic interface human anatomy human motor behavior human operators intuition inverse kinematics Machine Learning man machine interaction man-machine-interaction manipulators mechanical structure modeling movement model object recognition operators gesture pervasive design robot manipulator control robot vision robotic assistant sensory channels user modelling

  32 Einträge « ‹ 1 von 4 › »

  2024

  32.

  Helgert, André; Elstrodt-Wefing, Nadine; Möhring, Michelle; Straßmann, Carolin

  Integrating Collaborative Video-Based Learning for Transdisciplinary Case Work in Pedagogical and Health-Related Education Proceedings Article

  In: HELMeTO 2024 - Book of Abstracts, S. 17-19, 2024, ISBN: 978-88-99978-67-9.

  Links | BibTeX | Schlagwörter:

  @inproceedings{nokey,
  
  title = {Integrating Collaborative Video-Based Learning for Transdisciplinary Case Work in Pedagogical and Health-Related Education},
  
  author = {André Helgert and Nadine Elstrodt-Wefing and Michelle Möhring and Carolin Straßmann },
  
  url = {https://www.helmeto2024.it/storage/2024/11/BOA_HELMETO2024.pdf},
  
  isbn = {978-88-99978-67-9},
  
  year  = {2024},
  
  date = {2024-11-12},
  
  urldate = {2024-11-12},
  
  booktitle = {HELMeTO 2024 - Book of Abstracts},
  
  pages = {17-19},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  • https://www.helmeto2024.it/storage/2024/11/BOA_HELMETO2024.pdf

  Schließen

  31.

  Barenbrock, Julia; Eimler, Sabrina C.; Helgert, André; Straßmann, Carolin

  All too White? Effects of Anthropomorphism on the Stereotypical Perception of Robot Color Konferenz

  2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), 2024.

  Abstract | Links | BibTeX | Schlagwörter:

  @conference{nokey,
  
  title = {All too White? Effects of Anthropomorphism on the Stereotypical Perception of Robot Color},
  
  author = {Julia Barenbrock and Sabrina C. Eimler and André Helgert and Carolin Straßmann},
  
  editor = {IEEE},
  
  doi = {10.1109/RO-MAN60168.2024.10731329},
  
  year  = {2024},
  
  date = {2024-10-30},
  
  urldate = {2024-10-30},
  
  booktitle = {2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)},
  
  pages = {89-96},
  
  abstract = {With multi-user scenarios in human-robot interaction the problem of predisposed and unfair robot treatments due to biases arises. Thus, this study explores whether individuals recognize discrimination by a social robot and the impact of the feeling of exclusion. As a social consequence, the influence of robot discrimination on the perception of interaction partners and the attribution of blame is focused. Employing a VR-based multi-user lab experiment simulating a library task, participants experienced discrimination by a robot. Results suggest that discriminated individuals felt more discriminated against, albeit not significantly more ostracized. Moreover, discrimination influenced the self-attribution of blame and observers' evaluations of the discriminated user's competence. This work highlights the complex social impact of robot discrimination on human},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {conference}
  
  }
  
  

  Schließen

  With multi-user scenarios in human-robot interaction the problem of predisposed and unfair robot treatments due to biases arises. Thus, this study explores whether individuals recognize discrimination by a social robot and the impact of the feeling of exclusion. As a social consequence, the influence of robot discrimination on the perception of interaction partners and the attribution of blame is focused. Employing a VR-based multi-user lab experiment simulating a library task, participants experienced discrimination by a robot. Results suggest that discriminated individuals felt more discriminated against, albeit not significantly more ostracized. Moreover, discrimination influenced the self-attribution of blame and observers' evaluations of the discriminated user's competence. This work highlights the complex social impact of robot discrimination on human

  Schließen

  • doi:10.1109/RO-MAN60168.2024.10731329

  Schließen

  30.

  Helgert, André; Erle, Lukas; Langer, Sabrina; Straßmann, Carolin; Eimler, Sabrina C.

  Towards Understandable Transparency in Human-Robot-Interactions in Public Spaces Konferenz

  2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), 2024.

  Links | BibTeX | Schlagwörter:

  @conference{nokey,
  
  title = {Towards Understandable Transparency in Human-Robot-Interactions in Public Spaces},
  
  author = {André Helgert and Lukas Erle and Sabrina Langer and Carolin Straßmann and Sabrina C. Eimler},
  
  editor = {IEEE},
  
  doi = {10.1109/RO-MAN60168.2024.10731175},
  
  year  = {2024},
  
  date = {2024-10-30},
  
  urldate = {2024-10-30},
  
  booktitle = {2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)},
  
  pages = {1162 - 1169},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {conference}
  
  }
  
  

  Schließen

  • doi:10.1109/RO-MAN60168.2024.10731175

  Schließen

  29.

  Helgert, André; Straßmann, Carolin; Eimler, Sabrina C.

  Conceptualizing and Designing a Virtual Reality Authoring Tool for Human-Robot Interaction Studies - Learnings and Guidance from Expert Interviews Proceedings Article

  In: ACM, (Hrsg.): MuC '24: Proceedings of Mensch und Computer 2024, S. 331-341, 2024.

  Links | BibTeX | Schlagwörter:

  @inproceedings{nokey,
  
  title = {Conceptualizing and Designing a Virtual Reality Authoring Tool for Human-Robot Interaction Studies - Learnings and Guidance from Expert Interviews },
  
  author = {André Helgert and Carolin Straßmann and Sabrina C. Eimler},
  
  editor = {ACM},
  
  doi = {https://doi.org/10.1145/3670653.3670664},
  
  year  = {2024},
  
  date = {2024-09-01},
  
  urldate = {2024-09-01},
  
  booktitle = {MuC '24: Proceedings of Mensch und Computer 2024},
  
  pages = {331-341},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  • doi:https://doi.org/10.1145/3670653.3670664

  Schließen

  28.

  Straßmann, Carolin; Eudenbach, Cindy; Arntz, Alexander; Eimler, Sabrina C.

  "Don't Judge a Book by its Cover": Exploring Discriminatory Behavior in Multi-User-Robot Interaction Konferenz

  HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction , 2024.

  Abstract | Links | BibTeX | Schlagwörter:

  @conference{Straßmann2024,
  
  title = {"Don't Judge a Book by its Cover": Exploring Discriminatory Behavior in Multi-User-Robot Interaction},
  
  author = {Carolin Straßmann and Cindy Eudenbach and Alexander Arntz and Sabrina C. Eimler},
  
  editor = {ACM/IEEE},
  
  doi = {https://doi.org/10.1145/3610978.3640545},
  
  year  = {2024},
  
  date = {2024-03-11},
  
  urldate = {2024-03-11},
  
  booktitle = {HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
  
  },
  
  pages = {1023-1027},
  
  abstract = {With multi-user scenarios in human-robot interaction the problem of predisposed and unfair robot treatments due to biases arises. Thus, this study explores whether individuals recognize discrimination by a social robot and the impact of the feeling of exclusion. As a social consequence, the influence of robot discrimination on the perception of interaction partners and the attribution of blame is focused. Employing a VR-based multi-user lab experiment simulating a library task, participants experienced discrimination by a robot. Results suggest that discriminated individuals felt more discriminated against, albeit not significantly more ostracized. Moreover, discrimination influenced the self-attribution of blame and observers' evaluations of the discriminated user's competence. This work highlights the complex social impact of robot discrimination on human interactions and team dynamics.},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {conference}
  
  }
  
  

  Schließen

  With multi-user scenarios in human-robot interaction the problem of predisposed and unfair robot treatments due to biases arises. Thus, this study explores whether individuals recognize discrimination by a social robot and the impact of the feeling of exclusion. As a social consequence, the influence of robot discrimination on the perception of interaction partners and the attribution of blame is focused. Employing a VR-based multi-user lab experiment simulating a library task, participants experienced discrimination by a robot. Results suggest that discriminated individuals felt more discriminated against, albeit not significantly more ostracized. Moreover, discrimination influenced the self-attribution of blame and observers' evaluations of the discriminated user's competence. This work highlights the complex social impact of robot discrimination on human interactions and team dynamics.

  Schließen

  • doi:https://doi.org/10.1145/3610978.3640545

  Schließen

  27.

  Arntz, Alexander; Helgert, André; Straßmann, Carolin; Eimler, Sabrina C.

  Enhancing Human-Robot Interaction Research by Using a Virtual Reality Lab Approach Proceedings Article

  In: 2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), S. 340-344, 2024.

  Abstract | Links | BibTeX | Schlagwörter: Technological innovation;Solid modeling;Runtime;Human-robot interaction;Virtual environments;Physiology;Robots;Virtual Reality;Human-Robot Interaction;Empirical Studies;Research Platform;Study Tool;Wizard of Oz

  @inproceedings{10445600,
  
  title = {Enhancing Human-Robot Interaction Research by Using a Virtual Reality Lab Approach},
  
  author = {Alexander Arntz and André Helgert and Carolin Straßmann and Sabrina C. Eimler},
  
  doi = {10.1109/AIxVR59861.2024.00058},
  
  year  = {2024},
  
  date = {2024-01-01},
  
  urldate = {2024-01-01},
  
  booktitle = {2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)},
  
  pages = {340-344},
  
  abstract = {Human-robot interaction (HRI) research often faces limitations in real-world environments due to uncontrollable external factors. This applies in particular to field study setups in public spaces, as these can limit the validity of the study results, e.g. due to unpredictable and unsystematic changes in the environment, noise, people passing, etc. Especially for interdisciplinary studies involving psychological perspectives, virtual reality (VR) has emerged as a promising solution, offering realistic, controlled, and reproducible environments. Also, recent technological advancements enable detailed observation of human behavior and physiological responses via eye tracking, physiological assessments, and motion capture. To effectively add value by using VR as a tool, immersion, and presence in the virtual environment are essential preconditions. Besides, the manipulability of the VR environment during runtime is a bonus in exploring human behavior in interaction with robot-enriched spaces. As a methodological innovation in HRI studies, this paper presents a VR lab as a research tool that provides a virtual model of the robot Pepper along with interfaces for easy navigation and adaptive robot behavior. Moreover, the presented Wizard of Oz dashboard allows to flexibly react to the scenery by allowing the manipulation of several robot parameters during runtime. With the help of the VR lab, a framework for a variety of interdisciplinary research purposes in human-robot interaction (not only) in public spaces is provided.},
  
  keywords = {Technological innovation;Solid modeling;Runtime;Human-robot interaction;Virtual environments;Physiology;Robots;Virtual Reality;Human-Robot Interaction;Empirical Studies;Research Platform;Study Tool;Wizard of Oz},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  Human-robot interaction (HRI) research often faces limitations in real-world environments due to uncontrollable external factors. This applies in particular to field study setups in public spaces, as these can limit the validity of the study results, e.g. due to unpredictable and unsystematic changes in the environment, noise, people passing, etc. Especially for interdisciplinary studies involving psychological perspectives, virtual reality (VR) has emerged as a promising solution, offering realistic, controlled, and reproducible environments. Also, recent technological advancements enable detailed observation of human behavior and physiological responses via eye tracking, physiological assessments, and motion capture. To effectively add value by using VR as a tool, immersion, and presence in the virtual environment are essential preconditions. Besides, the manipulability of the VR environment during runtime is a bonus in exploring human behavior in interaction with robot-enriched spaces. As a methodological innovation in HRI studies, this paper presents a VR lab as a research tool that provides a virtual model of the robot Pepper along with interfaces for easy navigation and adaptive robot behavior. Moreover, the presented Wizard of Oz dashboard allows to flexibly react to the scenery by allowing the manipulation of several robot parameters during runtime. With the help of the VR lab, a framework for a variety of interdisciplinary research purposes in human-robot interaction (not only) in public spaces is provided.

  Schließen

  • doi:10.1109/AIxVR59861.2024.00058

  Schließen

  26.

  Helgert, André; Straßmann, Carolin; Eimler, Sabrina C.

  Unlocking Potentials of Virtual Reality as a Research Tool in Human-Robot Interaction: A Wizard-of-Oz Approach Proceedings Article

  In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, S. 535–539, Association for Computing Machinery, Boulder, CO, USA, 2024, ISBN: 9798400703232.

  Abstract | Links | BibTeX | Schlagwörter: accessibility, social robots, virtual reality, Wizard-of-Oz

  @inproceedings{10.1145/3610978.3640741,
  
  title = {Unlocking Potentials of Virtual Reality as a Research Tool in Human-Robot Interaction: A Wizard-of-Oz Approach},
  
  author = {André Helgert and Carolin Straßmann and Sabrina C. Eimler},
  
  url = {https://doi.org/10.1145/3610978.3640741},
  
  doi = {10.1145/3610978.3640741},
  
  isbn = {9798400703232},
  
  year  = {2024},
  
  date = {2024-01-01},
  
  urldate = {2024-01-01},
  
  booktitle = {Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction},
  
  pages = {535–539},
  
  publisher = {Association for Computing Machinery},
  
  address = {Boulder, CO, USA},
  
  series = {HRI '24},
  
  abstract = {Wizard-of-Oz (WoZ) systems represent a widespread method in HRI research. While they are cost-effective, flexible and are often preferred over developing autonomous dialogs in experimental settings, they are typically tailored to specific use cases. In addition, WoZ systems are mainly used in lab studies that deviate from real world scenarios. Here, virtual reality (VR) can be used to immerse the user in a real world interaction scenario with robots. This article highlights the necessity for a modularized and customizable WoZ system, using the benefits of VR. The proposed system integrates well-established features like speech and gesture control, while expanding functionality to encompass a data dashboard and dynamic robot navigation using VR technology. The discussion emphasizes the importance of developing technical systems, like the WoZ system, in a modularized and customizable way, particularly for non-technical researchers. Overcoming usability hurdles is crucial to establishing this tool's role in the HRI research field.},
  
  keywords = {accessibility, social robots, virtual reality, Wizard-of-Oz},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  Wizard-of-Oz (WoZ) systems represent a widespread method in HRI research. While they are cost-effective, flexible and are often preferred over developing autonomous dialogs in experimental settings, they are typically tailored to specific use cases. In addition, WoZ systems are mainly used in lab studies that deviate from real world scenarios. Here, virtual reality (VR) can be used to immerse the user in a real world interaction scenario with robots. This article highlights the necessity for a modularized and customizable WoZ system, using the benefits of VR. The proposed system integrates well-established features like speech and gesture control, while expanding functionality to encompass a data dashboard and dynamic robot navigation using VR technology. The discussion emphasizes the importance of developing technical systems, like the WoZ system, in a modularized and customizable way, particularly for non-technical researchers. Overcoming usability hurdles is crucial to establishing this tool's role in the HRI research field.

  Schließen

  • https://doi.org/10.1145/3610978.3640741
  • doi:10.1145/3610978.3640741

  Schließen

  25.

  Arntz, Alexander; Dia, Agostino Di; Riebner, Tim; Straßmann, Carolin; Eimler, Sabrina C.

  Teamwork Makes the Dream Work: A Virtual Reality-based Human-Robot Collaboration Sandbox Simulating Multiple Teams Proceedings Article

  In: 2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), S. 335-339, 2024, ISSN: 2771-7453.

  Abstract | Links | BibTeX | Schlagwörter: Robot kinematics;Virtual assistants;Virtual environments;Industrial robots;Libraries;Teamwork;Task analysis;Human-Robot Collaboration;Virtual Reality;Machine Learning;Artificial Intelligence

  @inproceedings{10445597,
  
  title = {Teamwork Makes the Dream Work: A Virtual Reality-based Human-Robot Collaboration Sandbox Simulating Multiple Teams},
  
  author = {Alexander Arntz and Agostino Di Dia and Tim Riebner and Carolin Straßmann and Sabrina C. Eimler},
  
  doi = {10.1109/AIxVR59861.2024.00057},
  
  issn = {2771-7453},
  
  year  = {2024},
  
  date = {2024-01-01},
  
  urldate = {2024-01-01},
  
  booktitle = {2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)},
  
  pages = {335-339},
  
  abstract = {We present a virtual reality-based Human-Robot Collaboration sandbox that allows the representation of multiple teams composed of humans and robots. Within the sandbox, virtual robots and humans can collaborate with their respective partners and interact with other teams to coordinate the required procedures while accomplishing a shared task. For this purpose, the virtual reality sandbox is equipped with a variety of interaction mechanics that enable a range of different shared tasks. The network integration allows for multiple users within the virtual environment. The VR application contains a library of different industrial robots that can act autonomously controlled by machine learning agents and interact with the user through verbal commands. The sandbox is specifically designed to serve as a research tool to explore new concepts and validate existing approaches in the domain of Human-Robot Collaboration involving autonomous robots in a series of upcoming studies.},
  
  keywords = {Robot kinematics;Virtual assistants;Virtual environments;Industrial robots;Libraries;Teamwork;Task analysis;Human-Robot Collaboration;Virtual Reality;Machine Learning;Artificial Intelligence},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  We present a virtual reality-based Human-Robot Collaboration sandbox that allows the representation of multiple teams composed of humans and robots. Within the sandbox, virtual robots and humans can collaborate with their respective partners and interact with other teams to coordinate the required procedures while accomplishing a shared task. For this purpose, the virtual reality sandbox is equipped with a variety of interaction mechanics that enable a range of different shared tasks. The network integration allows for multiple users within the virtual environment. The VR application contains a library of different industrial robots that can act autonomously controlled by machine learning agents and interact with the user through verbal commands. The sandbox is specifically designed to serve as a research tool to explore new concepts and validate existing approaches in the domain of Human-Robot Collaboration involving autonomous robots in a series of upcoming studies.

  Schließen

  • doi:10.1109/AIxVR59861.2024.00057

  Schließen

  2023

  24.

  Erle, Lukas; Timm, Lara; Straßmann, Carolin; Eimler, Sabrina C.

  Using Focus Group Interviews to Examine Biased Experiences in Human-Robot-Interaction Artikel

  In: S. 4, 2023.

  Abstract | Links | BibTeX | Schlagwörter:

  @article{nokey,
  
  title = {Using Focus Group Interviews to Examine Biased Experiences in Human-Robot-Interaction},
  
  author = {Lukas Erle and Lara Timm and Carolin Straßmann and Sabrina C. Eimler},
  
  editor = {ArXiv},
  
  doi = {10.48550/arXiv.2310.01421},
  
  year  = {2023},
  
  date = {2023-09-27},
  
  pages = {4},
  
  abstract = {When deploying interactive agents like (social) robots in public spaces they need to be able to interact with a diverse audience, with members each having individual diversity characteristics and prior experiences with interactive systems. To cater for these various predispositions, it is important to examine what experiences citizens have made with interactive systems and how these experiences might create a bias towards such systems. To analyze these bias-inducing experiences, focus group interviews have been conducted to learn of citizens individual discrimination experiences, their attitudes towards and arguments for and against the deployment of social robots in public spaces. This extended abstract focuses especially on the method and measurement of diversity.},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {article}
  
  }
  
  

  Schließen

  When deploying interactive agents like (social) robots in public spaces they need to be able to interact with a diverse audience, with members each having individual diversity characteristics and prior experiences with interactive systems. To cater for these various predispositions, it is important to examine what experiences citizens have made with interactive systems and how these experiences might create a bias towards such systems. To analyze these bias-inducing experiences, focus group interviews have been conducted to learn of citizens individual discrimination experiences, their attitudes towards and arguments for and against the deployment of social robots in public spaces. This extended abstract focuses especially on the method and measurement of diversity.

  Schließen

  • doi:10.48550/arXiv.2310.01421

  Schließen

  23.

  Helgert, André; Eimler, Sabrina C.; Straßmann, Carolin

  Virtual Reality as a Tool for Studying Diversity and Inclusion in Human-Robot Interaction: Advantages and Challenges Artikel

  In: S. 4, 2023.

  Abstract | Links | BibTeX | Schlagwörter:

  @article{nokey,
  
  title = {Virtual Reality as a Tool for Studying Diversity and Inclusion in Human-Robot Interaction: Advantages and Challenges},
  
  author = {André Helgert and Sabrina C. Eimler and Carolin Straßmann},
  
  editor = {ArXiv},
  
  doi = {10.48550/arXiv.2309.14937},
  
  year  = {2023},
  
  date = {2023-09-23},
  
  pages = {4},
  
  abstract = {This paper investigates the potential of Virtual Reality (VR) as a research tool for studying diversity and inclusion characteristics in the context of human-robot interactions (HRI). Some exclusive advantages of using VR in HRI are discussed, such as a controllable environment, the possibility to manipulate the variables related to the robot and the human-robot interaction, flexibility in the design of the robot and the environment, and advanced measurement methods related e.g. to eye tracking and physiological data. At the same time, the challenges of researching diversity and inclusion in HRI are described, especially in accessibility, cyber sickness and bias when developing VR-environments. Furthermore, solutions to these challenges are being discussed to fully harness the benefits of VR for the studying of diversity and inclusion.},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {article}
  
  }
  
  

  Schließen

  This paper investigates the potential of Virtual Reality (VR) as a research tool for studying diversity and inclusion characteristics in the context of human-robot interactions (HRI). Some exclusive advantages of using VR in HRI are discussed, such as a controllable environment, the possibility to manipulate the variables related to the robot and the human-robot interaction, flexibility in the design of the robot and the environment, and advanced measurement methods related e.g. to eye tracking and physiological data. At the same time, the challenges of researching diversity and inclusion in HRI are described, especially in accessibility, cyber sickness and bias when developing VR-environments. Furthermore, solutions to these challenges are being discussed to fully harness the benefits of VR for the studying of diversity and inclusion.

  Schließen

  • doi:10.48550/arXiv.2309.14937

  Schließen

  32 Einträge « ‹ 1 von 4 › »