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  • 1.
    Bengtsson, Peter
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human and technology.
    Attuning the ‘pedestrian-vehicle’ and ‘driver-vehicle’: Why attributing a mind to a vehicle matters2018In: Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365, Vol. 722, p. 19-22Article in journal (Refereed)
    Abstract [en]

    Vehicle automated driving systems, capable of performing all dynamic driving tasks are profoundly changing the traffic environment. With increased automation the vehicles are gradually becoming artificial agents that act and interact in conjunction with human agents, creating a pristine social context. This paper addresses the interaction between ‘pedestrian-vehicle’ and ‘driver-vehicle’. The idea is to make interaction as humanlike as possible, to increase safety and a positive user experience. We suggest that concepts describing social attunement in human-human interaction also can be applied to human-vehicle interaction. Social attunement implies a scenario where human and vehicle share intentions, infer goals of the interaction partner, are mutually predictable, and understand performance limitations. Furthermore, we propose the use of an in-vehicle avatar interface to assist in this interaction. A reason for using an avatar is that it can be hypothesised that the user can interact more naturally with an anthropomorphic artificial agent. 

  • 2.
    Illankoon, Prasanna
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Tretten, Phillip
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Identifying significance of human cognition in future maintenance operations2018In: Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365, Vol. 722, p. 550-556Article in journal (Refereed)
    Abstract [en]

    Industrial maintenance in future will operate heavily with intelligent systems. Advanced sensor networks on machines will enable them communicate and learn about failure types, predict consequences and share solutions. Humans on the other hand are equipped with intuitive cognition that facilitates acquisition of knowledge about unique characteristics of individual machines, and use this knowledge in maintenance problem solving. In this article, we identify two major opportunities to collaborate human intuitive cognition with intelligent systems for future maintenance solutions.

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