Differential-Game-Based Driver Assistance System for Fuel-Optimal Driving

Flad, Michael

doi:10.1007/978-3-030-23699-1_2

Cited by 4 publications

(2 citation statements)

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“…In order to establish emancipated human-machine cooperation on decision level, we choose to design the automation by means of a behavioral model of cooperation partners in a cooperative decision making scenario. This approach is motivated by the success of model-based automation designs on the action level of human-machine cooperation [2]. Consequently, we proposed two models of cooperative decision making in previous papers: the Adaptive Negotiation Framework [4] and the n-Stage War of Attrition [6].…”

Section: B Our Approachmentioning

confidence: 99%

“…However, existing automation design approaches for humanmachine cooperation are mostly found on the trajectory and action levels of the cooperation, where human and machine interact physically close and on a control trajectory basis, providing evidence that cooperation and shared control have benefits compared to individualism (i. e. individual human performance) and autonomy [2], [11]- [14]. Despite these results, similar investigations for the higher levels have not been made until very recently [15].…”

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confidence: 99%

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Human–Machine Cooperative Decision Making Outperforms Individualism and Autonomy

Rothfuß

Wörner

Charaja

et al. 2023

IEEE Trans. Human-Mach. Syst.

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The experiment reported in this paper provides a first experimental evaluation of human-machine cooperation on decision level: It explicitly focuses on the interaction of human and machine in cooperative decision making situations for which a suitable experimental design is introduced. Furthermore, it challenges conventional leader-follower approaches by comparing them to newly proposed automation designs based on cooperative decision making models. These models originate from negotiation theory and game theory and allow for an investigation of cooperative decision making between equal partners. This equality is motivated by similar approaches on the action level of humanmachine cooperation.The experiment's results indicate an added value of the proposed automation designs in terms of objective cooperative performance as well as human trust in and satisfaction with the cooperation. Hence, the experiment yields the same insight on decision level as already observed on action level: it may be beneficial to design machines as equal cooperation partners and in accordance to models of emancipated human-machine cooperation.

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Section: B Our Approachmentioning

confidence: 99%

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confidence: 99%