Alle Publikationen
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2017
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(2017): TERESA: Socially intelligent robot as window to the world. In: Cyberpsychology, Behavior, and Social Networking 20 (5). DOI: 10.1089/cyber.2017.29072.ceu
DOI: https://doi.org/10.1089/cyber.2017.29072.ceu Abstract: This column aims to describe the characteristics of current cyberpsychology research in Europe. In particular, CyberEurope aims at describing the leading research groups and projects running on the other side of the Ocean. The researchers have developed methods that enable the robots to perform social functions automatically, so that the human controller never needs to make decisions about how the robot should move around or what postures it should adopt. TERESA robots are able to navigate semi-autonomously, maintaining face-to-face contact during conversations, and displaying appropriate body-pose behavior—in a similar way to human beings. (PsycINFO Database Record (c) 2017 APA, all rights reserved)
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 2004
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(2004): Fuzzy Reasoning in a Multiagent System of Surveillance Sensors to Manage Cooperatively the Sensor-to-Task Assignment Problem. In: Applied Artificial Intelligence 18 (8), S. 673-711. DOI: 10.1080/08839510490496789
DOI: https://doi.org/10.1080/08839510490496789 Abstract: In this work, a surveillance network composed of a set of sensors and a fusion center is designed as a multiagent system. Negotiation among sensors (agents) is proposed to solve the task-to-sensor assignment problem (the allocation of tasks to sensors), addressing several aspects. First, the fusion center determines the tasks (system tasks) to be performed by the network at each management cycle. To do that, a fuzzy reasoning system determines the priorities of these system tasks by means of a symbolic inference process using the fused data received from all sensors. In addition, a fuzzy reasoning process, similar to that performed in the fusion center, is proposed to evaluate the priority of local tasks (sensor tasks) now executed by each sensor. The network coordination procedure will be based on the system-task priorities, computed in the fusion center, and on the local priorities evaluated in each sensor. Priority values for system and sensor tasks will be the basis to guide a negotiation process among sensors in the multiagent system. The validity of the fuzzy reasoning approach is supported by the fact that it has been able to manage environmental situations in a similar way as experienced human operators do. Included results illustrate how the negotiation scheme, based on task priority and measured through their time-variant priority, allows the adaption of sensor operation to changing situations. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
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