Preliminary version of : Brinkman , W . - P . , Neerincx , M

The ever-increasing involvement of computer technology in work and living environments—for training and actual task performances—sets continuously new challenges for cognitive ergonomics in diverse domains like transport, crisis management and healthcare [1]. A major challenge is to harmonize the technology development to the dynamics and complexity of the social, cognitive and affective processes in these environments, taking into account of the diversity and multiplicity of human needs, cf. [2]. Such a harmonization comprises effective and efficient human-automation collaboration that proves (1) to be resilient for critical situations and (2) to facilitate creative problem solving in such situations. Current research focuses on collaborative artefacts that help to establish these two effects by enhancing work team's conditions, knowledge and capabilities for acting in a safe and healthy way. For example, studies on flying, driving, and sailing provide requirements for pilot-automation collaboration that brings about adequate recover piloting behaviour after a " failure " , cf. [3, 4]. As a second example, recent research on shared situation awareness of distributed teams in crisis management provide support that may improve team coordination and corresponding performance [5]. For the development of such human-automation collaboration, cognitive ergonomics methods are needed for deriving and testing of the " situational " requirements systematically, cf. [6]. For example, game-based evaluations with Virtual-Reality tools can help to train for new situations or to test specific artefacts [7]. Furthermore, a combination of scenario-based investigation and controlled lab experiments can, for example, help to study automated assistant functions to support therapists in high demand situations when treating multiple patients simultaneously over the internet [8]. As a final example, user experience sampling methods that apply advanced interaction events analysis [9, 10] or sensor technology can improve