Alle Publikationen
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2018
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(2018): Long-term cohabitation with a social robot: A case study of the influence of human attachment patterns. In: International Journal of Social Robotics 10 (1), S. 163-176. DOI: 10.1007/s12369-017-0439-2
DOI: https://doi.org/10.1007/s12369-017-0439-2 Abstract: This paper presents the methodology, setup and results of a study involving long-term cohabitation with a fully autonomous social robot. During the experiment, three people with different attachment styles (as defined by John Bowlby) spent ten days each with an EMYS type robot, which was installed in their own apartments. It was hypothesized that the attachment patterns represented by the test subjects influence the interaction. In order to provide engaging and non-schematic actions suitable for the experiment requirements, the existing robot control system was modified, which allowed EMYS to become an effective home assistant. Experiment data was gathered using the robot’s state logging utility (during the cohabitation period) and in-depth interviews (after the study). Based on the analyzed data, it was concluded that the satisfaction stemming from prolonged cohabitation and the assessment of robot’s operation depend on the user’s attachment style. Results lead to first robot’s behavior personalization guidelines for different user’s attachment patterns. The study confirmed readiness of a EMYS robot for satisfying, autonomous, and long-term cohabitation with users. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
2017
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(2017): The Influence of Politeness Behavior on User Compliance with Social Robots in a Healthcare Service Setting. In: International Journal of Social Robotics 9 (5), S. 727-743. DOI: 10.1007/s12369-017-0420-0
Abstract: Particularly in the healthcare service domain, social robots are expected to be good assistants, advisers, or practitioners. To increase the effectiveness of healthcare services provided by social robots, patients must comply with their requests. Research is plentiful on what makes patients comply with healthcare advice. In this paper, which is based on Bulgurcu's study of rationality-based beliefs, command-compliance theory, and social exchange theory, we propose a research model of compliance during interaction with social robots, examining beliefs about and overall assessments of the consequences of complying with robot requests and extending the findings of previous studies to the setting of healthcare services. We specifically investigate the perceived level of politeness in robots' speech and gestures as a determinant of compliance intention. Using a social robot, NAO, as a provider of healthcare services, we conducted an experiment. The results suggest that the aforementioned theories are useful in understanding user behaviors toward social robots in a healthcare service setting. Interestingly, and unlike in other settings, the perceived level of politeness of a social robot in a healthcare service setting negatively affects the perceived benefit of compliance, and, hence, intention to comply. A lower politeness level is closer to a command or strong recommendation than a suggestion or causal recommendation, which is common in shopping, tourism, or convention settings. The findings of this study imply that polite behavior from a social robot is an important factor in the compliance of healthcare service users. Direct speech with polite gestures is the most effective way to increase patient compliance in with healthcare advice provided by social robots in healthcare settings. However, higher levels of politeness do not always increase patients' intention to comply.
Keywords: Assistenztechnik, Befehle/eindringliche Empfehlung als Marker für Unhöflichkeit, Compliance, Disziplin, doppelter Treffer, Höflichkeit, Höflichkeitsforschung, human-robot interaction, Ingenieurswissenschaft, Interaktionspartner, Medizin, Mensch oder Maschine, Mensch-Technik-Relationen (MTR), polite social interaction, Politeness, Politeness Theory, Realtechnik, Robotics, Serviceroboter, Social exchange theory, Social robot, Soziale Angemessenheit, Soziale Robotik, Technik, Technikbezug -
(2017) : Turn-taking intention recognition using multimodal cues in social human-robot interaction: 2017 17th International Conference on Control, Automation and Systems (ICCAS): Jeju, Korea: IEEE, S. 1300-1302
DOI: https://doi.org/10.23919/ICCAS.2017.8204407 Abstract: Turn-taking is an essential social skill for human communication. The robot needs to recognize the end of turn for timely response to the user with little delay in human-robot interaction. In this paper, we propose a turn-taking intention recognition system that determine the timing of turn-taking using multimodal cues in social Human-Robot Interaction (sHRI). In order to evaluate the turn-taking intention recognition system, we collect multimodal data set and conducted experiments. To that end, we designed a human-robot interaction scenario including turn-taking and conducted an experiment with 30 participants using the humanoid robot NAO. In experiments, we validate recognition models trained multimodal dataset by machine learning methods.
Keywords: Encoding, essential social skill, Floors, human communication, humanoid robot NAO, Humanoid Robots, human-robot interaction, ieee xplore, Künstliche Intelligenz, learning (artificial intelligence), Lips, machine learning methods, multimodal cues, multimodal dataset, Robots, sHRI, social human-robot interaction, Social robot, speech, timing, Turn-Taking, turn-taking intention recognition system 2016
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(2016): Development of a socially interactive system with whole-body movements for BHR-4. In: Int J of Soc Robotics 8 (2), S. 183-192. DOI: 10.1007/s12369-015-0330-y
DOI: https://doi.org/10.1007/s12369-015-0330-y Abstract: For a long time, humans have been communicating with others through voice, facial expressions, and body movements. If a humanoid robot has a human-habitual, natural, and human-like interactive form, it tends to be accepted by humans. To date, the majority of the existing humanoid robots have had difficulty in interacting with humans in a human-like way. This study focuses on this issue and develops a socially interactive system for enhancing the natural communication ability of a humanoid robot. The system, which is implemented in an android robot, BHR-4, features hearing, voice conversation, and facial and body emotional expression capabilities. Then, a full-body social motion planner for a humanoid robot is presented. The objective of this planner is to control the whole-body motion of the robot in a way similar to that of humans. Finally, experiments are conducted on the robot regarding its interactions with humans in a pure indoor environment. It is expected that the socially interactive system can enhance the natural communication ability of an android robot. The results of the experiments show that the combination of verbal behavior with facial expressions and body movements is better than verbal behavior alone, verbal behavior combined with facial expressions, or verbal behavior combined with body movements. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
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(2016): Long-term assessment of a service robot in a hotel environment. In: Robotics and Autonomous Systems 79, S. 40-57. DOI: 10.1016/j.robot.2016.01.014
DOI: https://doi.org/10.1016/j.robot.2016.01.014 Abstract: The long term evaluation of the Sacarino robot is presented in this paper. The study is aimed to improve the robot‘s capabilities as a bellboy in a hotel; walking alongside the guests, providing information about the city and the hotel and providing hotel-related services. The paper establishes a three-stage assessment methodology based on the continuous measurement of a set of metrics regarding navigation and interaction with guests. Sacarino has been automatically collecting information in a real hotel environment for long periods of time. The acquired information has been analyzed and used to improve the robot’s operation in the hotel through successive refinements. Some interesting considerations and useful hints for the researchers of service robots have been extracted from the analysis of the results. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
2015
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(2015) : Influence of approaching patterns of Telepresence Robot for personal space: 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI): Tainan, Taiwan: IEEE, S. 221-226
DOI: https://doi.org/10.1109/TAAI.2015.7407117 Abstract: The robot called “Telepresence Robot” is on business in recent years. However, the robot does not consider user’s personal space when the robot approaches the user. To better develop the system of the robot, here we study about how the robot approaches a user. The three factors was considered to influence the scope of the user’s personal space. The first factor is the position where the robot starts to decelerate when the robot approaches a user. The second factor is the method the robot decelerate. The final factor is pre-action by sound when the robot approaches a user. We verified those 3 factors, as a result, it was revealed that pre-action influenced personal space. By the appropriate approaching, the conversation between Telepresence Robot and human becomes natural and interactive.
2014
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(2014): When stereotypes meet robots. The double-edge sword of robot gender and personality in human–robot interaction. In: Computers in Human Behavior 38, S. 75-84. DOI: 10.1016/j.chb.2014.05.014
DOI: https://doi.org/10.1016/j.chb.2014.05.014 Abstract: With the emerging application of social and psychological concepts to human–robot interaction, we investigated the effects of occupational roles (security vs. healthcare), gender (male vs. female), and personality (extrovert vs. introvert) on user acceptance of a social robot. In a laboratory experiment, a robot performed two different roles of a healthcare and security to address the potential usage of social robots at home. During the task, the robot manifested different genders and personalities via nonverbal cues. The results showed that participants (n=164) preferred the robot with matching gender-occupational role and personality-occupational role stereotypes. This finding implies that the gender and personality of social robots do not monotonically influence user responses; instead, they interact with corresponding role stereotypes to affect user acceptance of social robots. In addition, personality-occupational role stereotypes showed a stronger effect on users' responses than gender-occupational role stereotypes. The overall results lay a foundation for designers to reduce the wide design spaces of social robots by grouping the various parameters under the big umbrella of social role stereotypes.
2010
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(2010) : Effect of social robot’s behavior in collaborative learning: 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Osaka, Japan: IEEE, S. 195-196
DOI: https://doi.org/10.1109/HRI.2010.5453199 Abstract: This paper describes about the effect of social robot’s behavior on human performance. The robot behaves based on an artificial mind model, and it expresses emotions according to the situation. In this research, we consider about the case where human and the robot learn cooperatively. The robot emotionally reacts to the joint learner’s success and failure. The experimental result shows that social behavior of the robot influences the performance of human learners.
Keywords: Animals, Anthropomorphism, APPRAISAL, Artificial intelligence, artificial mind model, collaborative learning, Collaborative work, Computer science education, Engines, groupware, human learners, human performance, Human robot interaction, human-robot interaction, ieee xplore, Künstliche Intelligenz, learning (artificial intelligence), Mobile robots, Personality, robot emotion, Social robot, social robot behavior, Switches 2003
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(2003): A survey of socially interactive robots. In: Robotics and Autonomous Systems 42 (3), S. 143-166. DOI: 10.1016/S0921-8890(02)00372-X
DOI: https://doi.org/10.1016/S0921-8890(02)00372-X Abstract: This paper reviews “socially interactive robots”: robots for which social human–robot interaction is important. We begin by discussing the context for socially interactive robots, emphasizing the relationship to other research fields and the different forms of “social robots”. We then present a taxonomy of design methods and system components used to build socially interactive robots. Finally, we describe the impact of these robots on humans and discuss open issues. An expanded version of this paper, which contains a survey and taxonomy of current applications, is available as a technical report [T. Fong, I. Nourbakhsh, K. Dautenhahn, A survey of socially interactive robots: concepts, design and applications, Technical Report No. CMU-RI-TR-02-29, Robotics Institute, Carnegie Mellon University, 2002].
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