Veröffentlichungen

@inproceedings{nokey,

title = {A Technical User Study on an Authoring Tool for Simplifying VR Study Setups in HRI Research},

author = {André Helgert and Sabrina C. Eimler and Tom Gross},

doi = {https://doi.org/10.1109/HRI61500.2025.10973865},

isbn = {979-8-3503-7893-1},

year  = {2025},

date = {2025-04-30},

urldate = {2025-03-03},

booktitle = {Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction},

pages = {550-558},

publisher = {IEEE},

address = {New York, NY, USA},

series = {HRI ’25},

abstract = {This paper presents a novel virtual reality (VR) authoring tool designed to simplify the creation of human-robot interaction (HRI) studies. The tool was developed to lower the technical barriers in VR development and allows researchers to simulate complex robot interactions without the need for advanced programming skills. It incorporates key HRI methods such as the Wizard of Oz (WoZ) technique, eye-tracking and motion tracking, and provides a comprehensive platform for data collection and study customization. A technical user study with computer scientists was carried out to evaluate the technical applicability of the tool. The participants confirmed the user-friendliness, flexibility and accessibility of the tool and furthermore found the tool efficient and expressed a strong interest in using it for future research. The results underline the tool's potential to expand the use of VR in HRI research, especially for non-technical researchers.},

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pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Robot or Employee? Exploring People’s Choice for or Against an Interaction with a Social Robot},

author = {Marcel Finkel and Lara Timm and Lukas Erle and Alexander Arntz and André Helgert and Carolin Straßmann and Sabrina C. Eimler},

editor = {O. Palinko and Leon Bodenhagen and John-John Cabibihan and Kerstin Fischer and Selma Šabanović and Katie Winkle and Laxmidhar Behera and Shuzhi Sam Ge and 

Dimitrios Chrysostomou and Wanyue Jiang Hongsheng He},

doi = {https://doi.org/10.1007/978-981-96-3522-1_38},

isbn = {978-981-96-3522-1},

year  = {2025},

date = {2025-03-25},

urldate = {2025-03-25},

booktitle = {Social Robotics. Lecture Notes in Computer Science, vol. 15563},

pages = {446–459},

publisher = {Springer},

address = {Singapore, SG},

abstract = {Employing social robots in public spaces to support employees at work is a frequently discussed scenario. However, the success of robotic systems often depends on people’s willingness to initiate interactions with them. This makes understanding people’s usage decisions crucial, yet only limited research has been done on why people select publicly accessible social robots over alternatives, such as human employees. Amongst various factors, people’s diversity characteristics are likely to influence this decision, such as people’s locus of control when using technology and their self-efficacy in human-robot interaction. To investigate this choice for or against using a robot, a field study (N = 65) was conducted in two public libraries in the Ruhr area (Germany). Participants had to decide to interact with a robot or an employee and were subsequently asked to explain their decision via a questionnaire and an interview. Results reveal that the decision could neither be explained by people’s locus of control when using technology nor by other diversity characteristics. Furthermore, no significant differences in self-efficacy in human-robot interaction between users who chose the robot instead of the human employee were found. Finally, the qualitative findings point to general interest in robots and people’s differences in dealing with novelty as reasons for their choice. Overall, our findings offer insights into the decision for or against the usage of a robot, which are relevant to both, research and the deployment of social robots in public spaces.},

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pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = { Improving Human Engagement with Robots: The Power of Active Constructive Responding},

author = {Jana Figge and Carolin Straßmann},

editor = {O. Palinko and Leon Bodenhagen and John-John Cabibihan and Kerstin Fischer and Selma Šabanović and Katie Winkle and Laxmidhar Behera and Shuzhi Sam Ge and 

Dimitrios Chrysostomou and Wanyue Jiang Hongsheng He},

doi = {https://doi.org/10.1007/978-981-96-3525-2_30},

isbn = { 978-981-96-3524-5},

year  = {2025},

date = {2025-03-25},

urldate = {2025-03-25},

booktitle = {Social Robotics. Lecture Notes in Computer Science, vol. 15563

},

pages = {354-368},

publisher = {Springer},

address = {Singapore, SG},

abstract = {This study investigates how Active Constructive Responding (ACR), as positive feedback mechanisms, by a robot influences human emotions and perceptions. In a 2

2 between-subjects online experiment, participants experienced a positive learning event, followed by feedback from the robot NAO, which provided either ACR or Passive Destructive Responding (PDR) feedback. The study also explores whether these feedback effects are enhanced when the robot uses a human voice. Results indicate that ACR significantly improves various aspects of human-robot interaction (HRI), including participants’ perceived likeability, their motivation to engage in further tasks, and their emotional experience. Additionally, ACR feedback increases the perceived anthropomorphism of the robot. However, no difference in perceived anthropomorphism was found between the robot’s human and robotic voice, and the anticipated enhancement from the human voice was not confirmed.},

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pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Beyond Coding: Empowering HRI Researchers with an Authoring Tool for Simplified VR Studies},

author = {André Helgert and Sabrina C. Eimler and Tom Gross},

doi = {https://doi.org/10.1109/AIxVR63409.2025.00056},

isbn = {979-8-3315-2157-8},

year  = {2025},

date = {2025-02-26},

urldate = {2025-01-27},

booktitle = {Proceedings of the 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)},

number = {290-295},

publisher = {IEEE},

address = {New York, NY, USA},

abstract = {Although Virtual Reality (VR) is a promising tool in today's Human-Robot Interaction (HRI) research, the technical hurdle of creating high-quality and customized VR applications for one's own research prevents its comprehensive use. To address this problem, we present a VR authoring tool for HRI research, allowing non-technical researchers to create individual study designs in a simplified manner with predefined environments, robots, and measurement methods. Furthermore, the authoring tool has a highly modularized structure so that it can be adapted to a wide range of use cases. Technical details are presented, covering UI/UX decisions in the study design process and the visual programming interface for the creation of the interaction scheme of the robot, as well as the data management system that transfers researchers' study setups into a suitable VR application. The VR authoring tool is intended to bridge the gap between the practical applicability of VR as a research tool and the required technical implementation expertise for VR applications.},

keywords = {},

pubstate = {published},

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}

@inproceedings{nokey,

title = {Merging Realities: Exploring Mixed Reality as a Research Tool for Human-Robot Interaction in Real-World Settings},

author = {Jan Schulten and André Helgert and Alexander Arntz and Carolin Straßmann and Sabrina C. Eimler},

doi = {https://doi.org/10.1109/AIxVR63409.2025.00029},

isbn = {979-8-3315-2157-8},

year  = {2025},

date = {2025-02-26},

urldate = {2025-02-26},

booktitle = {Proceedings of the 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)},

number = {147-153},

publisher = {IEEE},

address = {New York, NY, USA},

abstract = {The application of Virtual Reality (VR) in Human-Robot Interaction (HRI) research is growing due to its capacity to create adaptable yet controlled study environments. While VR often achieves data validity comparable to real-world studies, it faces limitations when physical interaction with robots is required. Mixed Reality (MR) offers a potential solution by enabling interactions with virtual robots in real-world settings, allowing participants to engage with realistic, interactive simulations that adapt to physical environments. Given the limited use of MR in HRI studies and the need for further understanding of its effectiveness in generating transferable results, this study examines MR's potential as a tool for simulating social-robot interaction. We conducted a study involving 21 participants interacting with a virtual robot performing navigation tasks in a real library and assessed self-efficacy, presence, technology acceptance, perceived realism, and social characteristics of the robot. The results show that most participants perceived the interaction with the robot as successful, the engagement was high and the robot interaction with MR provided excellent usability. These results suggest that MR has potential as a research and training tool for simulating human-robot interaction in navigation tasks within public spaces.},

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pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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},

doi = {10.1109/RO-MAN60168.2024.10731175},

isbn = {979-8-3503-7502-2},

year  = {2024},

date = {2024-10-30},

urldate = {2024-10-30},

booktitle = {Proceedings of the 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)},

pages = {1162-1169},

publisher = {IEEE},

address = {New York, NY, USA},

abstract = {The deployment of social robots in public spaces has received increased interest over the past years. These robots need to process a wide array of personal data to offer services that are tailored to users’ requirements. While much research has been carried out regarding the creation of explainable content, little research has dealt with how data transparency - as a way to address uncertainty and concerns regarding the handling of personal data - is conveyed to users. To examine the impact of different transparency declarations on trust, performance, and robot perception, we conducted a virtual reality (VR) supported laboratory experiment with N = 53 participants who interacted with a robot in a public setting (a library). The interaction between users and robots was accompanied by information on the handling of users’ personal data using three different modalities (via posters, the robot’s tablet, or verbally). The results imply that, while all modalities are understandable and perceived as useful, there is no preference for any modality. Our findings contribute to HRI research by examining different modalities for transparency declarations, in an effort to foster understandable and transparent processing of data.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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 },

doi = {https://doi.org/10.1109/RO-MAN60168.2024.10731329},

isbn = {979-8-3503-7502-2},

year  = {2024},

date = {2024-10-30},

urldate = {2024-10-30},

booktitle = {Proceedings of the 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)},

pages = {89-96},

publisher = {IEEE},

address = {New York, NY, USA},

abstract = {Looking at state-of-the-art robots, the majority have a white surface. This raises the questions of why robots are designed predominantly white, and how surface color affects the robot’s social perception. This not only reinforces human stereotypes but also influences the acceptance and usage of robots. Accordingly, this online study with a 2 (black vs. white) x 3 (Pepper robot vs. Temi robot vs. Kuka robot) within-subjects design (N = 100) investigated the effect on racist stereotypical perception and the role of anthropomorphism using implicit (Implicit Association Test) and explicit (Robotic Social Attributes Scale) measures and questionnaires on behavioral intentions. Our results show that robot color influences the implicit perception of robots but rarely affects explicit perception and behavior measures. Moreover, no effects of the robots’ anthropomorphism on racist perceptions were found. As more effects of anthropomorphism on our outcome variables were found than for robot color, we assume that robot color activates stereotypes in terms of color rather than race.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {User-Centric Design of Social Robots in City Libraries: Exploration of the Interplay of Social Roles and User Expectations},

author = {Sebastian Van Ledden and Artur Lisetschko and Nadine Jansen and Dagmar Jendrusch and Julia Hermann and Aysegül Dogangün},

doi = {https://doi.org/10.1145/3679318.3685346},

year  = {2024},

date = {2024-10-13},

urldate = {2024-10-13},

booktitle = {NordiCHI '24: Proceedings of the 13th Nordic Conference on Human-Computer Interaction},

journal = {Proceedings of NordiCHI 2024},

pages = {1-13},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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},

doi = {https://doi.org/10.1145/3670653.3670664},

isbn = {979-8-400-70998-2},

year  = {2024},

date = {2024-09-01},

urldate = {2024-09-01},

booktitle = {Proceedings of Mensch Und Computer 2024},

pages = {331-341},

publisher = {ACM},

address = {New York, NY, USA},

series = {MuC’24},

abstract = {Conducting Virtual Reality (VR) studies in Human-Robot Interaction (HRI) offers substantial benefits. Researchers use VR as a versatile research instrument, providing a controlled and reproducible study environment while enabling less invasive, continuous, and more valid data generation through measurement methods like motion capture and eye-tracking. Despite its potential, technical complexities and resource-intensive VR application development pose barriers to researchers, which may prevent them from using the advantages of VR for their own research. Our vision is to address this challenge by creating an intuitive VR authoring tool that facilitates the creation and execution of HRI study designs, considering that different disciplines may have varying requirements for studies. To enable broad usability of such a tool, we conducted expert interviews with seven HRI researchers, gathering insights into perceptions, opportunities, and risks associated with VR, and subsequently derived a catalog of requirements for the authoring tool. We evaluated the mockups resulting from these interviews at an international robotics conference with 22 experts, aiming to collaboratively develop a suitable authoring tool within the HRI community.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = { Leveraging GenAI for Brand Ecosystem Development: An Iterative Approach from Business Scenarios to Business Model and Marketing Strategy},

author = {Simone Roth and Matheea Beder and Medina Klicic},

url = {https://www.ama.org/wp-content/uploads/2024/08/2024-Summer-AMA-Proceedings_August_21_2024.pdf},

year  = {2024},

date = {2024-08-21},

urldate = {2024-08-21},

booktitle = {AMA Summer Academic Conference Proceedings},

issue = {35},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

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},

doi = {https://doi.org/10.1145/3610978.3640741},

isbn = {979-8-400-70323-2},

year  = {2024},

date = {2024-03-11},

urldate = {2024-03-11},

booktitle = {Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction},

pages = {535-539},

publisher = {ACM},

address = {New York, NY, 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 = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

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},

doi = { https://doi.org/10.1145/3610978.3640545},

isbn = {979-8-400-70323-2},

year  = {2024},

date = {2024-03-11},

urldate = {2024-03-11},

booktitle = {Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction},

pages = {1023-1027},

publisher = {ACM},

address = {New York, NY, USA},

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 = {inproceedings}

}

@inproceedings{Lisetschko2024,

title = {Interdisciplinary Requirements Engineering for Deploying Social Robots in Public Library’s},

author = {Artur Lisetschko and Nadine Jansen and Aysegül Dogangün and Aiden Danny Mäder},

url = {http://dx.doi.org/10.1145/3610978.3640657},

doi = {10.1145/3610978.3640657},

year  = {2024},

date = {2024-03-01},

urldate = {2024-03-01},

booktitle = {Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction},

publisher = {ACM},

series = {HRI ’24},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

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},

isbn = {979-8-3503-7202-1},

year  = {2024},

date = {2024-02-28},

urldate = {2024-02-28},

booktitle = {Proceedings of the 2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)},

pages = {340-344},

publisher = {IEEE},

address = {New York, NY, USA},

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 = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

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 = {https://doi.org/10.1109/AIxVR59861.2024.00057},

isbn = {979-8-3503-7202-1},

year  = {2024},

date = {2024-02-28},

urldate = {2024-02-28},

booktitle = {Proceedings of the 2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)},

pages = {335-339},

publisher = {IEEE},

address = {New York, NY, USA},

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 = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Algorithmic Bias and Digital Divide – An Examination of Discrimination Experiences in Human-System Interactions},

author = {Lukas Erle and Lara Timm and Carolin Strassmann and Sabrina C. Eimler},

editor = {André Melzer and Gary Lee Wagener},

doi = {https://doi.org/10.26298/1981-5555},

isbn = {978-2-919815-55-5},

year  = {2023},

date = {2023-09-01},

urldate = {2023-09-01},

booktitle = {Proceedings of the 13th Conference of the Media Psychology Division (DGPs)},

pages = {177},

publisher = {Melusina Press},

abstract = {Technological systems, especially social robots in public spaces, need to interact with a diverse audience as citizens differ, e.g., in gender, educations, beliefs, and experiences with different technologies. However, a wide array of technological systems do not yet have the ability to cater for this human diversity, as evidenced by cases of algorithmic bias (e.g., a decreased usability of various systems for people of colour (Hankerson et al., 2016). At the same time, an inclusion of all audiences is imperative when deploying new technologies to avoid creating a digital divide between citizens who are affected by algorithmic bias and those who are not, as such a digital divide might have dire consequences for public life (Singh & Singh, 2021). The inclusion of diverse user audiences is an interdisciplinary challenge that has, so far, been neglected. Through the lens of media psy- chology, it is especially relevant to examine the influence that individuals’ diversity characteristics might have on the experience of algorithmic bias, and how these biased experiences could force individuals into selfselection and consequently cause digital divide. Additionally, when facing situations of algorithmic bias, do humans detect discriminations and how do they attribute a failed interaction to the system or themselves?

Addressing these questions, focus groups with Ruhr area citizens are conducted. Participants’ diversity features and attitudes towards technological systems are captured and put into context of their individual experiences with algorithmic bias. Additionally, scenarios of algorithmic bias are be discussed to learn how citizens interpret these scenarios, to capture their attribution of blame and learn of possible coping strategies. Finally, participants are asked to picture a utopian and dystopian scenario in which a social robot is deployed in a public library to examine possible biases and fears of discrimination.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Robot-supported Decision-making Processes: Effects of Embodiment, Recommendation Timing and Gender.},

author = {Carolin Straßmann and Lukas Erle and Sabrina C. Eimler},

editor = {André Melzer and Gary Lee Wagener},

url = {https://mediapsych2023.uni.lu/},

doi = {https://doi.org/10.26298/1981-5555},

isbn = {978-2-919815-55-5},

year  = {2023},

date = {2023-08-01},

urldate = {2023-08-01},

booktitle = {Proceedings of the 13th Conference of the Media Psychology Division (DGPs)},

pages = {127},

publisher = {Melusina Press},

abstract = {Voice assistants are increasingly entering people’s lives. Being operated via voice commands makes them easy to use but also fosters human’s treatment of them as social entities. In human-human interaction, people tend to adapt their (non-)verbal behavior to their interlocutor. As voice assistants can trigger social reactions, the question arises whether and to what extent users adapt to the communication style of a voice assistant and how long this adaptation lasts. Considering previous research, the adaptation could have a grounding function to ensure efficient communication with the current communication partner (Clark & Brennan, 1991) or be based on priming effects, potentially enduring and influencing subsequent interactions (Pickering & Garrod, 2004). As an interaction partner’s perceived communication skills can influence people’s communication style, and the degree of the interaction partner’s perceived sociability may affect how much we aspire a communication success, perceived competence and sociability are considered as influencing factors. In a pre-registered experimental lab study, 133 participants interacted with a voice assistant whose communication style varied regarding politeness (high vs. low) and machine-likeness (machine-like vs. natural). The study encompassed three parts: 1) The voice assistant guided the participants through a recipe they had to follow with requisites, intended to expose them to the voice assistant’s communication style. 2) To measure communication behavior in an interaction, the voice assistant interviewed the participants about their dietary constraints and preferences. 3) Participants’ communication behavior in an interaction with another person was measured by letting them repeat the recipe to an imagined person. Afterwards, participants filled in questionnaires about competence and sociability. Via video-recordings of the three parts, participants’ communication style could be analyzed based on a deductively developed coding scheme. A MANOVA was computed to answer the main hypotheses while mediation analyses investigated the effect of competence and sociability on the adaptation.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {A Systematic Literature Review on the Use of Social Robots in Elderly Care},

author = {Julia Hermann and Artur Lisetschko and Aysegül Dogangün and Selcan Oktay},

editor = {Proceedings of the 35th Australian Conference on Human-Computer Interaction (OzCHI 2023)},

doi = {10.1145/3638380.3638412 },

year  = {2023},

date = {2023-08-01},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}