Alle Publikationen

  • Erweiterte Suche öffnen

Treffer: 2
  • <<
  • 1

  • 2017

  • Park, C.; Kim, J.; Kang, J. (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

  • 2014

  • Anya, Obinna; Tawfik, Hissam (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
  • <<
  • 1