Informatik/Technik
Dauerhafte URI für die Sektionhttps://epub.uni-luebeck.de/handle/zhb_hl/4
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Auflistung Informatik/Technik nach Betreuer:innen "Baumann, Martin"
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Item The Role of eco-driving feedback displays in drivers’ information processing and energy efficiency in electric vehicles(2025) Gödker, MarkusIn the context of the transition to sustainable transportation, understanding the cognitive mechanisms that underlie energy-efficient driver behavior is critical. This cumulative dissertation investigates how ecodriving feedback displays influence drivers’ information processing and achieved energy efficiency in battery electric vehicles. The main objective is to explain the psychological processes underlying operational (maneuver-based) ecodriving and to identify how ecodriving feedback displays can effectively support the acquisition of energy-related comprehension and improve driving behavior. Grounded in theories from engineering psychology and human factors, this work introduces and empirically validates the construct of Energy Dynamics Awareness (EnDynA)—a domain-specific adaptation of situation awareness tailored to electric vehicle driving. EnDynA captures drivers’ awareness of current and anticipated energy flows and is a cognitive foundation for energy-efficient real-time decision-making. The dissertation comprises four empirical articles combining online and driving simulator studies. Article 1 introduces the concept EnDynA and its assessment through subjective (experienced EnDynA) and objective (actual EnDynA) measures. The article demonstrates that feedback displays with higher informational value—such as instantaneous consumption displays extended with distance-based information—significantly improve experienced EnDynA. Article 2 extends this approach using a mental workload manipulation and a novel self-controlled occlusion paradigm. Results reveal that increased workload reduces visual attention to energy displays and impairs actual EnDynA, underscoring the role of attentional resources. Article 3 shows in a repeated-trials simulator experiment that richer feedback improves experienced EnDynA and leads to measurable gains in operational ecodriving performance. Article 4 compares instantaneous and predictive feedback systems and reveals a moderating effect of situation complexity: conventional feedback facilitates experiential learning under low complexity, whereas predictive guidance is more effective in high-demand conditions. Together, the studies provide converging evidence that ecodriving feedback displays can support drivers’ cognitive processing, learning, and behavior, particularly when designed to match informational needs and situational demands. Theoretically, the work contributes a domain-specific extension of situation awareness theory, called EnDynA. Methodologically, it introduces and refines tools for assessing energy-related awareness, attention, and behavior. Practically, it formulates actionable design recommendations for adaptive feedback systems in electric mobility. In sum, this dissertation shows that ecodriving feedback displays, when designed with psychological theory in mind, can close the cognitive information processing loop between perception, comprehension, and action in electric vehicle driving. By fostering EnDynA, such systems enable drivers to regulate energy use more effectively, contributing to improved driver performance, enhanced user experience, and the broader goals of sustainable mobility.