Alle Publikationen
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2018
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(2018) : Readiness for Artificial Intelligence: 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY): Subotica, Serbia: IEEE, S. 000235-000238
DOI: https://doi.org/10.1109/SISY.2018.8524740 Abstract: In the age of the fourth industrial revolution, where collaborative systems are the real innovation people are still not prepared for the results of the third revolution, namely for artificial intelligence. While every change has its life cycle with innovators, early adopters, early majority before it can reach its fruition, the age of robots has too fast been followed by the internet of things (IoT) of the fourth industrial revolution. Hence, people didn’t have enough time to adapt to the change. In present paper a primary research is presented, that aimed to explore the attitude of young adolescents towards artificial intelligence. Based on the result, trust is clearly one of the main issues regarding change in general and readiness in particular. People are not ready for robotic peers within their workplace yet. Psychological and emotive needs shall be addressed for the people to accept artificial intelligence in their workplace and surrounding.
Keywords: AI, Artificial intelligence, change, collaborative systems, early adopters, Employment, fourth industrial revolution, groupware, ieee xplore, innovation people, Internet of things, Künstliche Intelligenz, ORGANIZATIONS, PSYCHOLOGY, readiness, robotic peers, service robot, technological innovation, Trust 2014
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(2014) : Supporting practice-centered awareness in computer-mediated collaboration across communities of practice In: Smari, Waleed W.: International Conference on Collaboration Technologies and Systems (CTS), 2014: 19-23 May 2014, Minneapolis, Minnesota, USA ; [including symposia and workshops]: 2014 International Conference on Collaboration Technologies and Systems (CTS): Minneapolis, MN, USA: 5/19/2014 - 5/23/2014. Annual IEEE Computer Conference; International Conference on Collaboration Technologies and Systems (CTS); International Symposium on Big Data and Data Analytics in Collaboration (BDDAC); International Symposium on Security in Collaboration Technologies and Systems (SECOTS); International Symposium on Collaborative Analysis and Reasoning Systems (CARS); Workshop on Cloud Services and Web 2.0 Technologies for Collaboration (CSWC); International Workshop on Collaborative Robots and Human-Robot Interaction (CR-HRI); International Workshop on Collaborations in Emergency Response and Disaster Management (ERDM); International Workshop on Collaboration Technologies and Systems in Healthcare and Biomedical Fields (CoHeB): Piscataway, NJ: IEEE, S. 64-71
Abstract: Current approaches to supporting awareness in computer-mediated collaboration appear to fall short in two ways - (1) they focus primarily on synchronous collaborations among individuals working on a shared task, and (2) they do not sufficiently take account of the situated and socially mediated nature of work practices. This paper explores an alternative approach to awareness support in computer-mediated collaboration, which focuses on understanding and supporting awareness of activity at the work practice level, and enables coordination among individuals working on separate tasks across communities of practice. We describe a study that suggests how an understanding of the ontological, stereotyped, and situated aspects of human activity leads to awareness support at the work practice level. We outline a set of guidelines for supporting practice-centred awareness in system design, and demonstrate the effectiveness of the approach in enabling decision support among clinicians working separately across boundaries of communities of practice.
Keywords: Alltag, clinicians, Collaboration, Communities, Communities of practice, computer-mediated collaboration, Context, decision support, decision support systems, Encoding, groupware, GUIDELINES, Hospitals, human activity, ieee xplore, Interaktionsforschung, Interviews, medical computing, ontological aspects, ontologies (artificial intelligence), practice-centered awareness, situated aspects, stereotyped aspects, synchronous collaborations, work practice level 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 2004
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(2004) : Toward an actualization of social intelligence in human and robot collaborative systems: 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 4: 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566): Sendai, Japan: IEEE
DOI: https://doi.org/10.1109/IROS.2004.1389916 Abstract: As robot technology is evolving and creating a social community between humans and robots, it is necessary to research and develop a new type of intelligence, which we refer to as "social intelligence”. Social intelligence enables natural and socially appropriate interactions. Its importance is gaining a growing interest among not just the human-computer interaction researchers but also robot technology researchers and developers. This article discusses the definition, importance, and benefits of social intelligence in human and robot collaborative systems. The virtual social environment is employed to implement an experimental social intelligence system because of its low cost and high flexibility. Software robots (i.e. agents) with the social intelligence model have been implemented by featuring an emotion model and a personality model under the virtual environment. The social intelligence model that handles affective responses is based on the theories of personality, emotion, and human-media interaction such as cognitive appraisal theory and media equation. The experiment was conducted with the virtual learning collaborative system to examine the effect of the social intelligence model in the collaborative system. The data showed that the users had more positive impressions about the usefulness and the application and learning experience when the cooperative agent displayed some social responses with personality and emotions. It should be noted here that the cooperative agent did not provide any explicit assistance for the human user such as giving clues and showing answers, and yet the user’s evaluation on the usefulness of the learning system was influenced by the social agent. The data also suggested that the cooperative agent contributed to the effectiveness of the learning system.
Keywords: APPRAISAL, Artificial intelligence, Cognitive robotics, Collaboration, Costs, groupware, human collaborative system, Human Computer Interaction, Human robot interaction, Humanoid Robots, ieee xplore, intelligent agent, intelligent robots, Intelligent Systems, Künstliche Intelligenz, learning system, learning systems, robot collaborative system, robot technology, Social intelligence, Software agents, software robot, Virtual environment
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