Logo des Repositoriums

Auflistung nach Schlagwort "Human-machine Interaction"

1 - 2 von 2
  • editorial
    Introduction to this Special Issue on “Human-Machine Interaction and Cooperation in Safety-Critical Systems”
    (i-com: Vol. 15, No. 3, 2016) Mentler, Tilo; Reuter, Christian; Geisler, Stefan
    Mission- and safety-critical domains are more and more characterized by interactive and multimedia systems varying from large-scale technologies (e. g. airplanes) to wearable devices (e. g. smartglasses) operated by professional staff or volunteering laypeople. While technical availability, reliability and security of computer-based systems are of utmost importance, outcomes and performances increasingly depend on sufficient human-machine interaction or even cooperation to a large extent. While this i-com Special Issue on “Human-Machine Interaction and Cooperation in Safety-Critical Systems” presents recent research results from specific application domains like aviation, automotive, crisis management and healthcare, this introductory paper outlines the diversity of users, technologies and interaction or cooperation models involved.
  • Konferenzbeitrag
    Joint Decision Making and Cooperative Driver-Vehicle Interaction during Critical Driving Situations
    (i-com: Vol. 15, No. 3, 2016) Altendorf, Eugen; Weßel, Gina; Baltzer, Marcel; Canpolat, Yigiterkut; Flemisch, Frank
    In automated driving, the human driver and an automation form a joint human-machine system. In this system, each partner has her own individual cognitive as well as perceptual processes, which enable them to perform the complex task of driving. On different layers of the driving task, both, drivers and automation systems, assess the situation and derive action decisions. Although the processes can be divided between human and machine, and are sometimes very elaborate, the outcome should be a joint one because it affects the entire driver-vehicle system. In this paper, the individual processes for decision-making are defined and a framework for joint decision-making is proposed. Joint decision-making relies on common goals and norms of the two subsystems, human and automation, and evolves with experience.