Markus GödkerUniversity of Lübeck · Institut für Multimediale und Interaktive Systeme
Markus Gödker
Master of Science
Extremely excited to visit Jordan Taylor at the Department of Psychology at Princeton University for 4 months.
About
25
Publications
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Citations
Introduction
Skills and Expertise
Publications
Publications (25)
Supporting drivers in reducing energy consumption is essential for sustainable mobility. In electric vehicles, the invisibility and volatility of energy make it difficult for drivers to understand energy dynamics, hindering optimally energy-efficient action regulation.In a driving simulator experiment with N = 77 participants, we investigated drive...
Objective
The effects of three prototypical designs of energy consumption displays on energy-specific situation awareness were examined.
Background
Energy efficiency is crucial for the sustainability of technical systems. However, without accurate situation awareness of energy dynamics (energy dynamics awareness, EDA) it can be challenging for hum...
Optimal eco-driving in electric vehicles (EVs) can be challenging due to volatile, bidirectional energy flows and the difficulty of directly sensing energy flows. The present research investigates energy-related situation awareness (Energy Dynamics Awareness, EDA) as a pilot study. EDA is a theoretical concept that helps to describe and understand...
As electric vehicles (EVs) become increasingly prevalent, understanding drivers' interactions with range and their charging behavior is crucial for supporting optimal system design and adoption. The present study investigates the link of technology-related driver characteristics, such as affinity for technology interaction (ATI), to range interacti...
Achieving climate neutrality will require a major transformation of the transportation sector, likely leading to a surge in demand for electric vehicles (EVs). This poses a challenge to grid stability due to supply fluctuations of renewable energy resources. At the same time, EVs offer the potential to improve grid stability through managed chargin...
Dieser Leitfaden beschreibt Ansatzpunkte zur Implementierung von Assistenzsystemen für das Reichweitenmanagement von Elektrobussen im öffentlichen Personennahverkehr (ÖPNV) anhand eines Demonstratorsystems. Diese Systeme können den Betrieb von Elektrobussen ökologisch und ökonomisch optimieren und das Fahrpersonal unterstützen. Die Autoren untersuc...
Range plays a crucial role in the adoption and acceptance of electric mobility. Contrary to private car use, battery-electric buses (BEBs) in short-distance public transport ideally tend to exploit their available range on a daily basis to achieve optimal resource efficiency. Designing interfaces that provide accurate mental models of range dynamic...
Locomotion can be considered to represent a core need in human life and is—in its most natural form—achieved by using available muscular human energy to obtain relocation in space over time. In order to amplify the human capabilities of locomotion (e.g. expand the mobility space and pace) humans have developed mobility tools (i.e. vehicles) that au...
Range plays a crucial role in the adoption and acceptance of electric mobility. Contrary to private car use, battery-electric buses (BEBs) in short-distance public transport ideally tend to exploit their available range on a daily basis to achieve optimal resource efficiency. Designing interfaces that provide accurate mental models of range dynamic...
This guideline describes approaches for the implementation of assistance systems for the range management of electric buses in public transport by means of a demonstrator system, which can ecologically and economically optimize the operation of electric buses and support the driving personnel. It will be discussed which preconditions are necessary...
This guideline describes approaches for the implementation of assistance systems for the range management of electric buses in public transport by means of a demonstrator system, which can ecologically and economically optimize the operation of electric buses and support the driving personnel. It will be discussed which preconditions are necessary...
This guideline describes approaches for the implementation of assistance systems for the range management of electric buses in public transport by means of a demonstrator system, which can ecologically and economically optimize the operation of electric buses and support the driving personnel. It will be discussed which preconditions are necessary...
This guideline describes approaches for the implementation of assistance systems for the range management of electric buses in public transport by means of a demonstrator system, which can ecologically and economically optimize the operation of electric buses and support the driving personnel. It will be discussed which preconditions are necessary...
This guideline describes approaches for the implementation of assistance systems for the range management of electric buses in public transport by means of a demonstrator system, which can ecologically and economically optimize the operation of electric buses and support the driving personnel. It will be discussed which preconditions are necessary...
This guideline describes approaches for the implementation of assistance systems for the range management of electric buses in public transport by means of a demonstrator system, which can ecologically and economically optimize the operation of electric buses and support the driving personnel. It will be discussed which preconditions are necessary...
This guideline describes approaches for the implementation of assistance systems for the range management of electric buses in public transport by means of a demonstrator system, which can ecologically and economically optimize the operation of electric buses and support the driving personnel. It will be discussed which preconditions are necessary...
This guideline describes approaches for the implementation of assistance systems for the range management of electric buses in public transport by means of a demonstrator system, which can ecologically and economically optimize the operation of electric buses and support the driving personnel. It will be discussed which preconditions are necessary...
Energy-related behavior in resource dependent systems (e.g. electric vehicles, houses, ships) is an important factor for the actual energy efficiency such systems can achieve. Energy feedback human-machine-interfaces (HMIs) can support the awareness of energy dynamics in order to comprehend the situation and the influences on energy consumption and...
Die Nutzung eines elektrischen CarSharing-Fahrzeugs für Dienstreisen und sonstige Dienstfahrten kann finanzielle und ökologische Vorteile mit sich bringen. Dennoch gibt es Beispiele solcher Angebote, die in der Nutzungsintensität im Alltagsbetrieb weit unter dem möglichen Nutzungspotenzial bleiben. Über eine Online-Umfrage wurden 95 Mitarbeiter*inn...
Eco-driving plays a crucial role in the optimal use of electric buses in local public transport. Human-machine interfaces (HMIs) can support eco-driving but have to meet specific user requirements. We developed an indicator-based eco-driving interface prototype and then conducted an interview study with electric bus drivers (N = 10) to examine thei...
Eco-driving plays a crucial role in the optimal use of electric buses in local public transport. Human-machine interfaces (HMIs) can support eco-driving but have to meet specific user requirements. We developed an indicator-based eco-driving interface prototype and then conducted an interview study with electric bus drivers (N = 10) to examine thei...
The purpose of this meta-analysis is to examine the nature and magnitude of the relation between
complex problem-solving skills (CPS) and intelligence, a topic that has been widely discussed
and that has instigated a vast array of partially contradicting findings in the past. Theoretically,
researchers have hypothesized the two constructs to be eve...
Questions
Question (1)
I would like to calculate the required sample size for a main study based on the results from my pilot study in a psychological experiment.
The hypotheses indicate a repeated measures multiple mean comparison, hence, a repeated measures ANOVA (one-way). In the pilot study, the normality assumption is violated, therefore, I used a Friedman test instead.
My question: How can I now calculate the required sample size for my main study? I already found the rule of thumb to add 15% of the calculated sample size for the corresponding parametric analysis. Yet, because the normality assumption is violated, I cannot trust this parametric analysis. I am therefore looking for an equation to calculate the required sample size with the output of the Friedman test.
Thanks in advance for your help
