Prof.’in Dr. Carolin Straßmann

AUSGEWÄHLTE PUBLIKATIONEN

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

  18 Einträge « ‹ 1 von 2 › »

  2022

  18.

  Straßmann, Carolin; Eimler, Sabrina C.; Kololli, Linda; Arntz, Alexander; Sand, Katharina; Rietz, Annika

  Effects of the Surroundings in Human-Robot Interaction: Stereotypical Perception of Robots and Its Anthropomorphism Proceedings Article

  In: Salvendy, Gavriel; Wei, June (Hrsg.): Design, Operation and Evaluation of Mobile Communications, S. 363–377, Springer International Publishing, Cham, 2022, ISBN: 978-3-031-05014-5.

  Abstract | BibTeX | Schlagwörter:

  @inproceedings{10.1007/978-3-031-05014-5_30,
  
  title = {Effects of the Surroundings in Human-Robot Interaction: Stereotypical Perception of Robots and Its Anthropomorphism},
  
  author = {Carolin Straßmann and Sabrina C. Eimler and Linda Kololli and Alexander Arntz and Katharina Sand and Annika Rietz},
  
  editor = {Gavriel Salvendy and June Wei},
  
  isbn = {978-3-031-05014-5},
  
  year  = {2022},
  
  date = {2022-01-01},
  
  booktitle = {Design, Operation and Evaluation of Mobile Communications},
  
  pages = {363--377},
  
  publisher = {Springer International Publishing},
  
  address = {Cham},
  
  abstract = {Stereotypes and scripts guide human perception and expectations in everyday life. Research has found that a robot's appearance influences the perceived fit in different application domains (e.g. industrial or social) and that the role a robot is presented in predicts its perceived personality. However, it is unclear how the surroundings as such can elicit a halo effect leading to stereotypical perceptions. This paper presents the results of an experimental study in which 206 participants saw 8 cartoon pictures of the robot Pepper in different application domains in a within-subjects online study. Results indicate that the environment a robot is placed in has an effect on the users' evaluation of the robot's warmth, competence, status in society, competition, anthropomorphism, and morality. As the first impression has an effect on users' expectations and evaluation of the robot and the interaction with it, the effect of the application scenarios has to be considered carefully.},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  Stereotypes and scripts guide human perception and expectations in everyday life. Research has found that a robot's appearance influences the perceived fit in different application domains (e.g. industrial or social) and that the role a robot is presented in predicts its perceived personality. However, it is unclear how the surroundings as such can elicit a halo effect leading to stereotypical perceptions. This paper presents the results of an experimental study in which 206 participants saw 8 cartoon pictures of the robot Pepper in different application domains in a within-subjects online study. Results indicate that the environment a robot is placed in has an effect on the users' evaluation of the robot's warmth, competence, status in society, competition, anthropomorphism, and morality. As the first impression has an effect on users' expectations and evaluation of the robot and the interaction with it, the effect of the application scenarios has to be considered carefully.

  Schließen

  17.

  Arntz, Alexander; Straßmann, Carolin; Völker, Stefanie; Eimler, Sabrina C.

  Collaborating eye to eye: Effects of workplace design on the perception of dominance of collaboration robots Artikel

  In: Frontiers in Robotics and AI, Bd. 9, 2022, ISSN: 2296-9144.

  Abstract | Links | BibTeX | Schlagwörter:

  @article{10.3389/frobt.2022.999308,
  
  title = {Collaborating eye to eye: Effects of workplace design on the perception of dominance of collaboration robots},
  
  author = {Alexander Arntz and Carolin Straßmann and Stefanie Völker and Sabrina C. Eimler},
  
  url = {https://www.frontiersin.org/articles/10.3389/frobt.2022.999308},
  
  doi = {10.3389/frobt.2022.999308},
  
  issn = {2296-9144},
  
  year  = {2022},
  
  date = {2022-01-01},
  
  journal = {Frontiers in Robotics and AI},
  
  volume = {9},
  
  abstract = {The concept of Human-Robot Collaboration (HRC) describes innovative industrial work procedures, in which human staff works in close vicinity with robots on a shared task. Current HRC scenarios often deploy hand-guided robots or remote controls operated by the human collaboration partner. As HRC envisions active collaboration between both parties, ongoing research efforts aim to enhance the capabilities of industrial robots not only in the technical dimension but also in the robot’s socio-interactive features. Apart from enabling the robot to autonomously complete the respective shared task in conjunction with a human partner, one essential aspect lifted from the group collaboration among humans is the communication between both entities. State-of-the-art research has identified communication as a significant contributor to successful collaboration between humans and industrial robots. Non-verbal gestures have been shown to be contributing aspect in conveying the respective state of the robot during the collaboration procedure. Research indicates that, depending on the viewing perspective, the usage of non-verbal gestures in humans can impact the interpersonal attribution of certain characteristics. Applied to collaborative robots such as the Yumi IRB 14000, which is equipped with two arms, specifically to mimic human actions, the perception of the robots’ non-verbal behavior can affect the collaboration. Most important in this context are dominance emitting gestures by the robot that can reinforce negative attitudes towards robots, thus hampering the users’ willingness and effectiveness to collaborate with the robot. By using a 3 × 3 within-subjects design online study, we investigated the effect of dominance gestures (Akimbo, crossing arms, and large arm spread) working in a standing position with an average male height, working in a standing position with an average female height, and working in a seated position on the perception of dominance of the robot. Overall 115 participants (58 female and 57 male) with an average age of 23 years evaluated nine videos of the robot. Results indicated that all presented gestures affect a person’s perception of the robot in regards to its perceived characteristics and willingness to cooperate with the robot. The data also showed participants’ increased attribution of dominance based on the presented viewing perspective.},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {article}
  
  }
  
  

  Schließen

  The concept of Human-Robot Collaboration (HRC) describes innovative industrial work procedures, in which human staff works in close vicinity with robots on a shared task. Current HRC scenarios often deploy hand-guided robots or remote controls operated by the human collaboration partner. As HRC envisions active collaboration between both parties, ongoing research efforts aim to enhance the capabilities of industrial robots not only in the technical dimension but also in the robot’s socio-interactive features. Apart from enabling the robot to autonomously complete the respective shared task in conjunction with a human partner, one essential aspect lifted from the group collaboration among humans is the communication between both entities. State-of-the-art research has identified communication as a significant contributor to successful collaboration between humans and industrial robots. Non-verbal gestures have been shown to be contributing aspect in conveying the respective state of the robot during the collaboration procedure. Research indicates that, depending on the viewing perspective, the usage of non-verbal gestures in humans can impact the interpersonal attribution of certain characteristics. Applied to collaborative robots such as the Yumi IRB 14000, which is equipped with two arms, specifically to mimic human actions, the perception of the robots’ non-verbal behavior can affect the collaboration. Most important in this context are dominance emitting gestures by the robot that can reinforce negative attitudes towards robots, thus hampering the users’ willingness and effectiveness to collaborate with the robot. By using a 3 × 3 within-subjects design online study, we investigated the effect of dominance gestures (Akimbo, crossing arms, and large arm spread) working in a standing position with an average male height, working in a standing position with an average female height, and working in a seated position on the perception of dominance of the robot. Overall 115 participants (58 female and 57 male) with an average age of 23 years evaluated nine videos of the robot. Results indicated that all presented gestures affect a person’s perception of the robot in regards to its perceived characteristics and willingness to cooperate with the robot. The data also showed participants’ increased attribution of dominance based on the presented viewing perspective.

  Schließen

  • https://www.frontiersin.org/articles/10.3389/frobt.2022.999308
  • doi:10.3389/frobt.2022.999308

  Schließen

  16.

  Helgert, André; Zielinska, Laura; Groeneveld, Anna; Kloos, Chiara; Arntz, Alexander; Straßmann, Carolin; Eimler, Sabrina C.

  DiSensity: Ein hochschulweites Virtual Reality Sensibilisierungsprogramm Proceedings Article

  In: Söbke, Heinrich; Zender, Raphael (Hrsg.): Wettbewerbsband AVRiL 2022, S. 17-22, Gesellschaft für Informatik e.V., Bonn, 2022.

  Links | BibTeX | Schlagwörter:

  @inproceedings{mci/Helgert2022,
  
  title = {DiSensity: Ein hochschulweites Virtual Reality Sensibilisierungsprogramm},
  
  author = {André Helgert and Laura Zielinska and Anna Groeneveld and Chiara Kloos and Alexander Arntz and Carolin Straßmann and Sabrina C. Eimler},
  
  editor = {Heinrich Söbke and Raphael Zender},
  
  doi = {10.18420/avril2022_03},
  
  year  = {2022},
  
  date = {2022-01-01},
  
  urldate = {2022-01-01},
  
  booktitle = {Wettbewerbsband AVRiL 2022},
  
  pages = {17-22},
  
  publisher = {Gesellschaft für Informatik e.V.},
  
  address = {Bonn},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  • doi:10.18420/avril2022_03

  Schließen

  15.

  Helgert, André; Straßmann, Carolin

  What Are You Grateful for? - Enhancing Gratitude Routines by Using Speech Assistants Proceedings Article

  In: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New Orleans, LA, USA, 2022, ISBN: 9781450391566.

  Abstract | Links | BibTeX | Schlagwörter: Alexa, Gratitude Journal, Gratitude Routines, Speech Assistant

  @inproceedings{10.1145/3491101.3519786,
  
  title = {What Are You Grateful for? - Enhancing Gratitude Routines by Using Speech Assistants},
  
  author = {André Helgert and Carolin Straßmann},
  
  url = {https://doi.org/10.1145/3491101.3519786},
  
  doi = {10.1145/3491101.3519786},
  
  isbn = {9781450391566},
  
  year  = {2022},
  
  date = {2022-01-01},
  
  booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
  
  publisher = {Association for Computing Machinery},
  
  address = {New Orleans, LA, USA},
  
  series = {CHI EA '22},
  
  abstract = {This paper presents an extension for Amazon’s Alexa, which provides a gratitude journal, and investigates its effectiveness compared to a regular paper-based version. Decades of research demonstrate that expressing gratitude has various psychological and physical benefits. At the same time, gratitude routines run the risk of being a hassle activity, which diminishes the positive outcome. Speech assistants might help to integrate gratitude routines more easily in an intuitive way using voice input. The results of our 8-day field study with two experimental groups (Alexa group vs. Paper group},
  
  keywords = {Alexa, Gratitude Journal, Gratitude Routines, Speech Assistant},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  This paper presents an extension for Amazon’s Alexa, which provides a gratitude journal, and investigates its effectiveness compared to a regular paper-based version. Decades of research demonstrate that expressing gratitude has various psychological and physical benefits. At the same time, gratitude routines run the risk of being a hassle activity, which diminishes the positive outcome. Speech assistants might help to integrate gratitude routines more easily in an intuitive way using voice input. The results of our 8-day field study with two experimental groups (Alexa group vs. Paper group

  Schließen

  • https://doi.org/10.1145/3491101.3519786
  • doi:10.1145/3491101.3519786

  Schließen

  2021

  14.

  Arntz, Alexander; Eimler, Sabrina C.; Straßmann, Carolin; Hoppe, Heinz Ulrich

  On the Influence of Autonomy and Transparency on Blame and Credit in Flawed Human-Robot Collaboration Proceedings Article

  In: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, S. 377–381, Association for Computing Machinery, Boulder, CO, USA, 2021, ISBN: 9781450382908.

  Abstract | Links | BibTeX | Schlagwörter: attribution of blame, human-robot collaboration, online study, perception of intelligence

  @inproceedings{10.1145/3434074.3447196,
  
  title = {On the Influence of Autonomy and Transparency on Blame and Credit in Flawed Human-Robot Collaboration},
  
  author = {Alexander Arntz and Sabrina C. Eimler and Carolin Straßmann and Heinz Ulrich Hoppe},
  
  url = {https://doi.org/10.1145/3434074.3447196},
  
  doi = {10.1145/3434074.3447196},
  
  isbn = {9781450382908},
  
  year  = {2021},
  
  date = {2021-01-01},
  
  urldate = {2021-01-01},
  
  booktitle = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction},
  
  pages = {377–381},
  
  publisher = {Association for Computing Machinery},
  
  address = {Boulder, CO, USA},
  
  series = {HRI '21 Companion},
  
  abstract = {The collaboration between humans and autonomous AI-driven robots in industrial contexts is a promising vision that will have an impact on the sociotechnical system. Taking research from the field of human teamwork as guiding principles as well as results from human robot collaboration studies this study addresses open questions regarding the design and impact of communicative transparency and behavioral autonomy in a human robot collaboration. In an experimental approach, we tested whether an AI-narrative and communication panels of a robot-arm trigger the attribution of more human like traits and expectations going along with a changed attribution of blame and failure in a flawed collaboration.},
  
  keywords = {attribution of blame, human-robot collaboration, online study, perception of intelligence},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  The collaboration between humans and autonomous AI-driven robots in industrial contexts is a promising vision that will have an impact on the sociotechnical system. Taking research from the field of human teamwork as guiding principles as well as results from human robot collaboration studies this study addresses open questions regarding the design and impact of communicative transparency and behavioral autonomy in a human robot collaboration. In an experimental approach, we tested whether an AI-narrative and communication panels of a robot-arm trigger the attribution of more human like traits and expectations going along with a changed attribution of blame and failure in a flawed collaboration.

  Schließen

  • https://doi.org/10.1145/3434074.3447196
  • doi:10.1145/3434074.3447196

  Schließen

  2020

  13.

  Straßmann, Carolin; Krämer, Nicole; Buschmeier, Hendrik; Kopp, Stefan

  Age-Related Differences in the Evaluation of a Virtual Health Agent's Appearance and Embodiment in a Health-Related Interaction: Experimental Lab Study Artikel

  In: Journal of Medical Internet Research, Bd. 22, Nr. 4, S. e13726, 2020.

  BibTeX | Schlagwörter:

  @article{Strassmann2020b,
  
  title = {Age-Related Differences in the Evaluation of a Virtual Health Agent's Appearance and Embodiment in a Health-Related Interaction: Experimental Lab Study},
  
  author = {Carolin Straßmann and Nicole Krämer and Hendrik Buschmeier and Stefan Kopp},
  
  year  = {2020},
  
  date = {2020-01-01},
  
  journal = {Journal of Medical Internet Research},
  
  volume = {22},
  
  number = {4},
  
  pages = {e13726},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {article}
  
  }
  
  

  Schließen

  12.

  von der Pütten, Astrid Marieke Rosenthal; Straßmann, Carolin; Krämer, Nicole

  Language Learning with Artificial Entities: Effects of an Artificial Tutor's Embodiment and Behavior on Users' Alignment and Evaluation Proceedings Article

  In: International Conference on Social Robotics, S. 96–107, 2020.

  BibTeX | Schlagwörter:

  @inproceedings{RosenthalvonderPuetten2020,
  
  title = {Language Learning with Artificial Entities: Effects of an Artificial Tutor's Embodiment and Behavior on Users' Alignment and Evaluation},
  
  author = {Astrid Marieke Rosenthal von der Pütten and Carolin Straßmann and Nicole Krämer},
  
  year  = {2020},
  
  date = {2020-01-01},
  
  booktitle = {International Conference on Social Robotics},
  
  pages = {96--107},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  11.

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

  Under The (Plastic) Sea - Sensitizing People Toward Ecological Behavior Using Virtual Reality Controlled by Users’ Physical Activity Proceedings Article

  In: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), S. 166-173, 2020.

  Links | BibTeX | Schlagwörter:

  @inproceedings{9319078,
  
  title = {Under The (Plastic) Sea - Sensitizing People Toward Ecological Behavior Using Virtual Reality Controlled by Users’ Physical Activity},
  
  author = {Carolin Straßmann and Alexander Arntz and Sabrina C. Eimler},
  
  doi = {10.1109/AIVR50618.2020.00036},
  
  year  = {2020},
  
  date = {2020-01-01},
  
  booktitle = {2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
  
  pages = {166-173},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  • doi:10.1109/AIVR50618.2020.00036

  Schließen

  10.

  Straßmann, Carolin; Eimler, Sabrina C.; Arntz, Alexander; Grewe, Alina; Kowalczyk, Christopher; Sommer, Stefan

  Receiving Robot's Advice: Does It Matter When and for What? Proceedings Article

  In: International Conference on Social Robotics, S. 271–283, 2020.

  BibTeX | Schlagwörter:

  @inproceedings{Strassmann2020,
  
  title = {Receiving Robot's Advice: Does It Matter When and for What?},
  
  author = {Carolin Straßmann and Sabrina C. Eimler and Alexander Arntz and Alina Grewe and Christopher Kowalczyk and Stefan Sommer},
  
  year  = {2020},
  
  date = {2020-01-01},
  
  urldate = {2020-01-01},
  
  booktitle = {International Conference on Social Robotics},
  
  pages = {271--283},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  9.

  Straßmann, Carolin; Grewe, Alina; Kowalczyk, Christopher; Arntz, Alexander; Eimler, Sabrina C.

  Moral robots? How uncertainty and presence affect humans' moral decision making Proceedings Article

  In: International Conference on Human-Computer Interaction, S. 488–495, 2020.

  BibTeX | Schlagwörter:

  @inproceedings{Strassmann2020a,
  
  title = {Moral robots? How uncertainty and presence affect humans' moral decision making},
  
  author = {Carolin Straßmann and Alina Grewe and Christopher Kowalczyk and Alexander Arntz and Sabrina C. Eimler},
  
  year  = {2020},
  
  date = {2020-01-01},
  
  urldate = {2020-01-01},
  
  booktitle = {International Conference on Human-Computer Interaction},
  
  pages = {488--495},
  
  keywords = {},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  18 Einträge « ‹ 1 von 2 › »