Toward a modeling of human-centered, rule-based cooperative teamwork

Fu, Xingguang; Langer, M.; Söffker, Dirk

doi:10.1109/cscwd.2013.6581008

Cited by 3 publications

(2 citation statements)

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“…For instance, Fu et al [159] used a situation-operatormodel to represent complex behaviours in cooperative teamwork with technical systems. The model is used for the formal description of situation awareness and allows for uniform and homogeneous modelling approach to describe human learning, planning, acting, and human errors.…”

Section: ) Human Behaviourmentioning

confidence: 99%

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey

et al. 2019

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Autonomous vehicles are becoming a reality in places with advanced infrastructure to support their operations. In crowded places, harsh environments, missions that require these vehicles to be aware of the context in which they are operating, and situations requiring continuous coordination with humans such as in disaster relief, advanced-vehicle systems (AVSs) need to be better contextually aware. The vast literature referring to ''context-aware systems'' is still sparse, focusing on very limited forms of contextual awareness. It requires a structured approach to bring it together to truly realize contextual awareness in AVSs. This paper uses a human-AVSs (HAVSs) lens to polarize the literature in a coherent form suitable for designing distributed HAVSs. We group the relevant literature into two categories: contextual-awareness related to the vehicle infrastructure itself that enables AVSs to operate, and contextual-awareness related to HAVSs. The former category focuses on the communication backbone for AVSs including ad-hoc networks, services, wireless communication, radio systems, and the cyber security and privacy challenges that arise in these contexts. The latter category covers recommender systems, which are used to coordinate the actions that sit at the interface of the human and AVSs, human-machine interaction issues, and the activity recognition systems as the enabling technology for recommender systems to operate autonomously. The structured analysis of the literature has identified a number of open research questions and opportunities for further research in this area.

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Section: ) Human Behaviourmentioning

confidence: 99%

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey

et al. 2019

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“…Behaviors or suggestions how to realize optimal or even improved results are not provided. This contribution is based on previous publications [2] [3] [17].…”

Section: Introductionmentioning

confidence: 99%

Towards a driver supervision and assistance system: intention detecting and option providing

Wang

Söffker

2014

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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With the increasing of automotive technology, the focus of vehicle developing has been changed from former basic needs of transportation to the additionally and enhanced requirements regarding to safety and efficiency. The cause of accidents is manifold. The inappropriate driving is one of the reasons. Additional effort understanding the driver's intention in combination with extended sensor information allowing to match driver's intention and real available options will be useful with respect to warning and intervention. Based on the Situation-Operator-Modeling (SOM), the intention of the driver can be detected. Once the intended action includes dangerous element, a warning will be provided to avoid the action really to be carried out. The other reason of accident is incomplete understanding about the available choices. Stimulated by daily life, the options can also be provided to the human driver during driving. Comparing the available choices and corresponding consequences, the suitable and efficient decision can be made. This contribution introduces a novel concept about providing warnings related to danger or wrong decision based on the calculation of intended actions and options to the driver to realize a novel online driver supervision system.

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