Inst. Psychologie und Arbeitswissenschaft

178 Items

Recent Submissions
Dauerwahrnehmung und Nutzererleben in der Mensch-Computer-Interaktion

Trukenbrod, Anna Katharina (2020)

Im Kontext von Mensch-Computer-Interaktionen wird die Interaktionsdauer häufig als objektiver Indikator für die Effizienz oder die Verständlichkeit eines Systems genutzt. Die Dauer wird jedoch auch vom Nutzer subjektiv wahrgenommen. Vor diesem Hintergrund ist es das Ziel der vorliegenden Arbeit zu untersuchen, (1) wie Nutzer Interaktionsdauern wahrnehmen und (2) wie diese Wahrnehmung mit andere...

Performance metrics for ultrasound-guided needle placements, using a conventional monitor and an augmented reality head-mounted display

Rüger, Christoph (2019)

Purpose Augmented reality (AR) and head-mounted displays (HMD) are current subjects of investigation in medical practice. A commonly proposed use-case of AR-HMDs is to display data in image-guided interventions. Although technical feasibility has been thoroughly shown, effects of AR-HMDs on interventions are not yet well researched, hampering clinical applicability. Therefore, the goal of this...

Kosten falscher Alarme und Wirkpotentiale der Unsicherheitskommunikation am Beispiel eines Fahrerassistenzsystems

Platho, Christina (2019)

Die Aufgabe von Alarmsystemen ist es, Nutzer auf gefährliche Ereignisse hinzuweisen. Ihr zuverlässiges Funktionieren ist oft nicht gewährleistet. Gleichzeitig besteht die Tendenz, lieber häufiger grundlos zu warnen als Gefahr zu laufen, kritische Ereignisse zu übersehen. Dies führt jedoch dazu, dass Systemnutzer viel Mühe darauf verwenden müssen, die oft falschen Alarme des Systems zu überprüfe...

Annotated helmet use videos from Myanmar

Siebert, Felix Wilhelm ; Lin, Hanhe (2019-11-06)

These videos were recorded in the cities of Bago, Mandalay, and Pakokku in Myanmar in the summer of 2016 during a study on road safety related behavior of motorcyclists (http://dx.doi.org/10.14279/depositonce-8784). In a consecutive study (http://dx.doi.org/10.14279/depositonce-9250), a deep learning approach was used to automatically detect active motorcycles, the number and position of riders...

Anthropomorphizing Robots: The Effect of Framing in Human-Robot Collaboration

Onnasch, Linda ; Roesler, Eileen (2019-11-20)

Anthropomorphic framing of social robots is widely believed to facilitate human-robot interaction. In two subsequent studies, the impact of anthropomorphic framing was examined regarding the subjective perception of a robot and the willingness to donate money for this robot. In both experiments, participants received either an anthropomorphic or a functional description of a humanoid NAO robot ...

Prediction of driver lane-change behavior

Li, Xiaohan (2019)

Prediction of driver lane-change (LC) behavior is very important to avoid LC related traffic accidents. The aim of this dissertation is to propose a comprehensive framework, including experimental design, modeling, feature selection as well as evaluation, which can be implemented for prediction of driver LC behavior. The framework is designed to concentrate on highway roads. To this end, three ...

The Impact of a Mnemonic Acronym on Learning and Performing a Procedural Task and Its Resilience Toward Interruptions

Radović, Tara ; Manzey, Dietrich (2019-11-06)

The present study examines the potential impact of a mnemonic acronym on the learning, the execution, the resilience toward interruptions, and the mental representation of an eight-step procedural task with sequential constraints. 65 participants were required to learn a sequential task, including eight different steps which had to be carried out in a predefined sequence. 33 participants were p...

Adjustable automation and manoeuvre control in automated driving

Siebert, Felix Wilhelm ; Radtke, Fabian ; Kiyonaga, Erin ; Höger, Rainer (2019-08-23)

Current implementations of automated driving rely on the driver to monitor the vehicle and be ready to assume control in situations that the automation cannot successfully manage. However, research has shown that drivers are not able to monitor an automated vehicle for longer periods of time, as the monotonous monitoring task leads to attention reallocation or fatigue. Driver involvement in the...

Detecting motorcycle helmet use with deep learning

Siebert, Felix Wilhelm ; Lin, Hanhe (2019-11-06)

The continuous motorization of traffic has led to a sustained increase in the global number of road related fatalities and injuries. To counter this, governments are focusing on enforcing safe and law-abiding behavior in traffic. However, especially in developing countries where the motorcycle is the main form of transportation, there is a lack of comprehensive data on the safety-critical behav...

Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach

Gerjets, Peter ; Walter, Carina ; Rosenstiel, Wolfgang ; Bogdan, Martin ; Zander, Thorsten O. (2014-12-09)

According to Cognitive Load Theory (CLT), one of the crucial factors for successful learning is the type and amount of working-memory load (WML) learners experience while studying instructional materials. Optimal learning conditions are characterized by providing challenges for learners without inducing cognitive over- or underload. Thus, presenting instruction in a way that WML is constantly h...

A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making

Prezenski, Sabine ; Brechmann, André ; Wolff, Susann ; Russwinkel, Nele (2017-08-04)

Decision-making is a high-level cognitive process based on cognitive processes like perception, attention, and memory. Real-life situations require series of decisions to be made, with each decision depending on previous feedback from a potentially changing environment. To gain a better understanding of the underlying processes of dynamic decision-making, we applied the method of cognitive mode...

Walking through Architectural Spaces: The Impact of Interior Forms on Human Brain Dynamics

Banaei, Maryam ; Hatami, Javad ; Yazdanfar, Abbas ; Gramann, Klaus (2017-09-27)

Neuroarchitecture uses neuroscientific tools to better understand architectural design and its impact on human perception and subjective experience. The form or shape of the built environment is fundamental to architectural design, but not many studies have shown the impact of different forms on the inhabitants’ emotions. This study investigated the neurophysiological correlates of different in...

Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving

Zander, Thorsten O. ; Andreessen, Lena M. ; Berg, Angela ; Bleuel, Maurice ; Pawlitzki, Juliane ; Zawallich, Lars ; Krol, Laurens R. ; Gramann, Klaus (2017-02-28)

We tested the applicability and signal quality of a 16 channel dry electroencephalography (EEG) system in a laboratory environment and in a car under controlled, realistic conditions. The aim of our investigation was an estimation how well a passive Brain-Computer Interface (pBCI) can work in an autonomous driving scenario. The evaluation considered speed and accuracy of self-applicability by a...

Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects

Jungnickel, Evelyn ; Gramann, Klaus (2016-06-27)

The non-invasive recording and analysis of human brain activity during active movements in natural working conditions is a central challenge in Neuroergonomics research. Existing brain imaging approaches do not allow for an investigation of brain dynamics during active behavior because their sensors cannot follow the movement of the signal source. However, movements that require the operator to...

Identifizierung leistungsrelevanter Merkmale der Teamkommunikation in der Domäne Flugsicherung

Papenfuß, Anne (2019)

Die Arbeit von Teams ist ein Einflussfaktor auf die Leistungsfähigkeit des Luftverkehrssystems. In dieser Arbeit wird ein Ansatz zur Analyse der Teamkommunikation vorgestellt, um Teamarbeit und den Einfluss neuartiger Flugführungskonzepte in High-Fidelity-Simulationen zu erfassen. Hierzu wurde der Einfluss der situativen Faktoren Kommunikationsmedium und Erfahrung auf das Kommunikationsverhalte...

Introducing a multivariate model for predicting driving performance: The role of driving anger and personal characteristics

Roidl, Ernst ; Siebert, Felix Wilhelm ; Oehl, Michael ; Höger, Rainer (2013-08-15)

Introduction: Maladaptive driving is an important source of self-inflicted accidents and this driving style could include high speeds, speeding violations, and poor lateral control of the vehicle. The literature suggests that certain groups of drivers, such as novice drivers, males, highly motivated drivers, and those who frequently experience anger in traffic, tend to exhibit more maladaptive ...

The influence of time headway on subjective driver states in adaptive cruise control

Siebert, Felix Wilhelm ; Oehl, Michael ; Pfister, Hans-Rüdiger (2014-06-04)

There is no agreement on the relation between driving parameters and drivers’ subjective states. A linear as well as a threshold relationship for different subjective variables and driving parameters has been put forward. In this study we investigate the relationship between time headway and the ratings of risk, task difficulty, effort, and comfort. Knowledge about this interrelation may advanc...

The exact determination of subjective risk and comfort thresholds in car following

Siebert, Felix Wilhelm ; Oehl, Michael ; Bersch, Florian ; Pfister, Hans-Rüdiger (2017-02-04)

In this study the location of vehicle to vehicle distance thresholds for self-reported subjective risk and comfort was researched. Participants were presented with ascending and descending time headway sequences in a driving simulator. This so called method of limits of ascending and descending stimuli (Gouy, Diels, Reed, Stevens, & Burnett, 2012) was refined to efficiently determine individual...

How speed and visibility influence preferred headway distances in highly automated driving

Siebert, Felix Wilhelm ; Wallis, Fares Lian (2019-07-06)

While the introduction of highly automated vehicles promises lower accident numbers, a main requirement for wide use of these vehicles will be the acceptance by drivers. In this study a crucial variable for the acceptance of highly automated vehicles, the vehicle to vehicle distance expressed in time headway, was researched in a driving simulator. Research has shown that time headway distances,...

Patterns of motorcycle helmet use – a naturalistic observation study in Myanmar

Siebert, Felix Wilhelm ; Albers, Deike ; Naing, U Aung ; Perego, Paolo ; Santikarn, Chamaiparn (2019-01-11)

Developing countries are subject to increased motorization, particularly in the number of motorcycles. As helmet use is critical to the safety of motorcycle riders, the goal of this study was to identify observable patterns of helmet use, which allow a more accurate assessment of helmet use in developing countries. In a video based observation study, 124,784 motorcycle riders were observed at s...