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The rise of automated driving will fundamentally change our mobility in the near future. This thesis specifically considers the stage of so called highly automated driving (Level 3, SAE International, 2014). At this level, a system carries out vehicle guidance in specific application areas, e.g. on highway roads. The driver can temporarily suspend from monitoring the driving task and might use the time by engaging in so called non-driving related tasks (NDR-tasks). However, the driver is still in charge to resume vehicle control when prompted by the system. This new role of the driver has to be critically examined from a human factors perspective.
The main aim of this thesis was to systematically investigate the impact of different NDR-tasks on driver behavior and take-over performance. Wickens’ (2008) architecture of multiple resource theory was chosen as theoretical framework, with the building blocks of multiplicity (task interference due to resource overlap), mental workload (task demands), and aspects of executive control or self-regulation. Specific adaptations and extensions of the theory were discussed to account for the context of NDR-task interactions in highly automated driving.
Overall four driving simulator studies were carried out to investigate the role of these theoretical components. Study 1 showed that drivers focused NDR-task engagement on sections of highly automated compared to manual driving. In addition, drivers avoided task engagement prior to predictable take-over situations. These results indicate that self-regulatory behavior, as reported for manual driving, also takes place in the context of highly automated driving. Study 2 specifically addressed the impact of NDR-tasks’ stimulus and response modalities on take-over performance. Results showed that particularly visual-manual tasks with high motoric load (including the need to get rid of a handheld object) had detrimental effects. However, drivers seemed to be aware of task specific distraction in take-over situations and strictly canceled visual-manual tasks compared to a low impairing auditory-vocal task. Study 3 revealed that also the mental demand of NDR-tasks should be considered for drivers’ take-over performance. Finally, different human-machine-interfaces were developed and evaluated in Simulator Study 4. Concepts including an explicit pre-alert (“notification”) clearly supported drivers’ self-regulation and achieved high usability and acceptance ratings.
Overall, this thesis indicates that the architecture of multiple resource theory provides a useful framework for research in this field. Practical implications arise regarding the potential legal regulation of NDR-tasks as well as the design of elaborated human-machine-interfaces.
The novel BackHome system offers individuals with disabilities a range of useful services available via brain-computer interfaces (BCIs), to help restore their independence. This is the time such technology is ready to be deployed in the real world, that is, at the target end users’ home. This has been achieved by the development of practical electrodes, easy to use software, and delivering telemonitoring and home support capabilities which have been conceived, implemented, and tested within a user-centred design approach. The final BackHome system is the result of a 3-year long process involving extensive user engagement to maximize effectiveness, reliability, robustness, and ease of use of a home based BCI system. The system is comprised of ergonomic and hassle-free BCI equipment; one-click software services for Smart Home control, cognitive stimulation, and web browsing; and remote telemonitoring and home support tools to enable independent home use for nonexpert caregivers and users. BackHome aims to successfully bring BCIs to the home of people with limited mobility to restore their independence and ultimately improve their quality of life.
In classical conditioning, an initially neutral stimulus (conditioned stimulus, CS) becomes associated with a biologically salient event (unconditioned stimulus, US), which might be pain (aversive conditioning) or food (appetitive conditioning). After a few associations, the CS is able to initiate either defensive or consummatory responses, respectively. Contrary to aversive conditioning, appetitive conditioning is rarely investigated in humans, although its importance for normal and pathological behaviors (e.g., obesity, addiction) is undeniable. The present study intents to translate animal findings on appetitive conditioning to humans using food as an US. Thirty-three participants were investigated between 8 and 10 am without breakfast in order to assure that they felt hungry. During two acquisition phases, one geometrical shape (avCS+) predicted an aversive US (painful electric shock), another shape (appCS+) predicted an appetitive US (chocolate or salty pretzel according to the participants' preference), and a third shape (CS) predicted neither US. In a extinction phase, these three shapes plus a novel shape (NEW) were presented again without US delivery. Valence and arousal ratings as well as startle and skin conductance (SCR) responses were collected as learning indices. We found successful aversive and appetitive conditioning. On the one hand, the avCS+ was rated as more negative and more arousing than the CS and induced startle potentiation and enhanced SCR. On the other hand, the appCS+ was rated more positive than the CS and induced startle attenuation and larger SCR. In summary, we successfully confirmed animal findings in (hungry) humans by demonstrating appetitive learning and normal aversive learning.
Visual ERP (P300) based brain-computer interfaces (BCIs) allow for fast and reliable spelling and are intended as a muscle-independent communication channel for people with severe paralysis. However, they require the presentation of visual stimuli in the field of view of the user. A head-mounted display could allow convenient presentation of visual stimuli in situations, where mounting a conventional monitor might be difficult or not feasible (e.g., at a patient's bedside). To explore if similar accuracies can be achieved with a virtual reality (VR) headset compared to a conventional flat screen monitor, we conducted an experiment with 18 healthy participants. We also evaluated it with a person in the locked-in state (LIS) to verify that usage of the headset is possible for a severely paralyzed person. Healthy participants performed online spelling with three different display methods. In one condition a 5 x 5 letter matrix was presented on a conventional 22 inch TFT monitor. Two configurations of the VR headset were tested. In the first (glasses A), the same 5 x 5 matrix filled the field of view of the user. In the second (glasses B), single letters of the matrix filled the field of view of the user. The participant in the LIS tested the VR headset on three different occasions (glasses A condition only). For healthy participants, average online spelling accuracies were 94% (15.5 bits/min) using three flash sequences for spelling with the monitor and glasses A and 96% (16.2 bits/min) with glasses B. In one session, the participant in the LIS reached an online spelling accuracy of 100% (10 bits/min) using the glasses A condition. We also demonstrated that spelling with one flash sequence is possible with the VR headset for healthy users (mean: 32.1 bits/min, maximum reached by one user: 71.89 bits/min at 100% accuracy). We conclude that the VR headset allows for rapid P300 BCI communication in healthy users and may be a suitable display option for severely paralyzed persons.
Emotion regulation dysfunctions are assumed to contribute to the development of tobacco addiction and relapses among smokers attempting to quit. To further examine this hypothesis, the present study compared heavy smokers with non-smokers (NS) in a reappraisal task. Specifically, we investigated whether non-deprived smokers (NDS) and deprived smokers (DS) differ from non-smokers in cognitive emotion regulation and whether there is an association between the outcome of emotion regulation and the cigarette craving. Sixty-five participants (23 non-smokers, 22 NDS, and 20 DS) were instructed to down-regulate emotions by reappraising negative or positive pictorial scenarios. Self-ratings of valence, arousal, and cigarette craving as well as facial electromyography and electroencephalograph activities were measured. Ratings, facial electromyography, and electroencephalograph data indicated that both NDS and DS performed comparably to nonsmokers in regulating emotional responses via reappraisal, irrespective of the valence of pictorial stimuli. Interestingly, changes in cigarette craving were positively associated with regulation of emotional arousal irrespective of emotional valence. These results suggest that heavy smokers are capable to regulate emotion via deliberate reappraisal and smokers' cigarette craving is associated with emotional arousal rather than emotional valence. This study provides preliminary support for the therapeutic use of reappraisal to replace maladaptive emotion-regulation strategies in nicotine addicts.
Gaze-independent brain-computer interfaces (BCIs) are a possible communication channel for persons with paralysis. We investigated if it is possible to use auditory stimuli to create a BCI for the Japanese Hiragana syllabary, which has 46 Hiragana characters. Additionally, we investigated if training has an effect on accuracy despite the high amount of different stimuli involved. Able-bodied participants (N = 6) were asked to select 25 syllables (out of fifty possible choices) using a two step procedure: First the consonant (ten choices) and then the vowel (five choices). This was repeated on 3 separate days. Additionally, a person with spinal cord injury (SCI) participated in the experiment. Four out of six healthy participants reached Hiragana syllable accuracies above 70% and the information transfer rate increased from 1.7 bits/min in the first session to 3.2 bits/min in the third session. The accuracy of the participant with SCI increased from 12% (0.2 bits/min) to 56% (2 bits/min) in session three. Reliable selections from a 10 × 5 matrix using auditory stimuli were possible and performance is increased by training. We were able to show that auditory P300 BCIs can be used for communication with up to fifty symbols. This enables the use of the technology of auditory P300 BCIs with a variety of applications.
Brain computer interfaces based on sensorimotor rhythms modulation (SMR-BCIs) allow people to emit commands to an interface by imagining right hand, left hand or feet movements. The neurophysiological activation associated with those specific mental imageries can be measured by electroencephalography and detected by machine learning algorithms. Improvements for SMR-BCI accuracy in the last 30 years seem to have reached a limit. The currrent main issue with SMR-BCIs is that between 15% to 30% cannot use the BCI, called the "BCI inefficiency" issue. Alternatively to hardware and software improvements, investigating the individual characteristics of the BCI users has became an interesting approach to overcome BCI inefficiency. In this dissertation, I reviewed existing literature concerning the individual sources of variation in SMR-BCI accuracy and identified generic individual characteristics. In the empirical investigation, attention and motor dexterity predictors for SMR-BCI performance were implemented into a trainings that would manipulate those predictors and lead to higher SMR-BCI accuracy. Those predictors were identified by Hammer et al. (2012) as the ability to concentrate (associated with relaxation levels) and "mean error duration" in a two-hand visuo-motor coordination task (VMC). Prior to a SMR-BCI session, a total of n=154 participants in two locations took part of 23 min sessions of either Jacobson’s Progressive Muscle Relaxation session (PMR), a VMC session, or a control group (CG). No effect of PMR or VMC manipulation was found, but the manipulation checks did not consistently confirm whether PMR had an effect of relaxation levels and VMC on "mean error duration". In this first study, correlations between relaxation levels or "mean error duration" and accuracy were found but not in both locations. A second study, involving n=39 participants intensified the training in four sessions on four consecutive days or either PMR, VMC or CG. The effect or manipulation was assessed for in terms of a causal relationship by using a PRE-POST study design. The manipulation checks of this second study validated the positive effect of training on both relaxation and "mean error duration". But the manipulation did not yield a specific effect on BCI accuracy. The predictors were not found again, displaying the instability of relaxation levels and "mean error duration" in being associated with BCI performance. An effect of time on BCI accuracy was found, and a correlation between State Mindfulness Scale and accuracy were reported. Results indicated that a short training of PMR or VMC were insufficient in increasing SMR-BCI accuracy. This study contrasted with studies succeeding in increasing SMR-BCI accuracy Tan et al. (2009, 2014), by the shortness of its training and the relaxation training that did not include mindfulness. It also contrasted by its manipulation checks and its comprehensive experimental approach that attempted to replicate existing predictors or correlates for SMR-BCI accuracy. The prediction of BCI accuracy by individual characteristics is receiving increased attention, but requires replication studies and a comprehensive approach, to contribute to the growing base of evidence of predictors for SMR-BCI accuracy. While short PMR and VMC trainings could not yield an effect on BCI performance, mindfulness meditation training might be beneficial for SMR-BCI accuracy. Moreover, it could be implemented for people in the locked-in-syndrome, allowing to reach the end-users that are the most in need for improvements in BCI performance.
The abilities to comprehend and critically evaluate scientific texts and the various arguments stated in these texts are an important aspect of scientific literacy, but these competences are usually not formally taught to students. Previous research indicates that, although undergraduate students evaluate the claims and evidence they find in scientific
documents to some extent, these evaluations usually fail to meet normative standards. In addition, students’ use of source information for evaluation is often insufficient. The rise of the internet and the increased accessibility of information have yielded some additional challenges that highlight the importance of adequate training and instruction.The aim of the present work was to further examine introductory students’ competences to systematically and heuristically evaluate scientific information, to identify relevant strategies that are involved in a successful evaluation, and to use this knowledge to design appropriate interventions for fostering epistemic competences in university students.To this end, a number of computer-based studies, including both quantitative and qualitative data as well as experimental designs, were developed. The first two studies were designed to specify educational needs and to reveal helpful processing strategies that are required in different tasks and situations. Two expert-novice comparisons were developed, whereby the performance of German students of psychology (novices) was compared to the performance of scientists from the domain of psychology (experts) in a number of different tasks, such as systematic plausibility evaluations of informal arguments (Study 1) or heuristic evaluations of the credibility of multiple scientific documents (Study 2). A think-aloud procedure was used
to identify specific strategies that were applied in both groups during task completion, and that possibly mediated performance differences between students and scientists. In addition, relationships between different strategies and between strategy use and relevant conceptual knowledge was examined. Based on the results of the expert-novice comparisons, an intervention study, consisting of two training experiments, was constructed to foster some
competences that proved to be particularly deficient in the comparisons (Study 3). Study 1 examined introductory students’ abilities to accurately judge the plausibility of informal arguments according to normative standards, to recognise common argumentation fallacies, and to identify different structural components of arguments. The results from Study 1 indicate that many students, compared to scientists, lack relevant knowledge about the structure of arguments, and that normatively accurate evaluations of their plausibility seem to be challenging in this group. Often, common argumentation fallacies were not identified correctly. Importantly, these deficits were partly mediated by differences in strategy use: It was especially difficult for students to pay sufficient attention to the relationship between argument components when forming their judgements. Moreover, they frequently relied on their intuition or opinion as a criterion for evaluation, whereas scientists predominantly determined quality of arguments based on their internal consistency.
In addition to students’ evaluation of the plausibility of informal arguments, Study 2 examined introductory students’ competences to evaluate the credibility of multiple scientific texts, and to use source characteristics for evaluation. The results show that students struggled not only to judge the plausibility of arguments correctly, but also to heuristically judge the credibility of science texts, and these deficits were fully mediated by their insufficient use of source information. In contrast, scientists were able to apply different strategies in a flexible manner. When the conditions for evaluation did not allow systematic processing (i.e. time limit), they primarily used source characteristics for their evaluations. However, when
systematic evaluations were possible (i.e. no time limit), they used more sophisticated normative criteria for their evaluations, such as paying attention to the internal consistency of arguments (cf. Study 1). Results also showed that students, in contrast to experts, lacked relevant knowledge about different publication types, and this was related to their ability to correctly determine document credibility. The results from the expert-novice comparisons also suggest that the competences assessed in both tasks might develop as a result of a more fundamental form of scientific literacy and discipline expertise. Performances in all tasks were positively related. On the basis of these results, two training experiments were developed that aimed at fostering university students’ competences to understand and evaluate informal arguments (Study 3). Experiment 1 describes an intervention approach in which students were familiarised with the formal structure of arguments based on Toulmin’s (1958) argumentation model. The performance of the experimental group to identify the structural components of this model was compared to the performance of a control group in which speed reading skills were practiced, using a pre-post-follow-up design. Results show that the training was successful for improving the comprehension of more complex arguments and relational aspects between key components in the posttest, compared to the control group. Moreover, an interaction effect was found with study performance. High achieving students with above average grades profited the most from the training intervention. Experiment 2 showed that
training in plausibility, normative criteria of argument evaluation, and argumentation fallacies improved students’ abilities to evaluate the plausibility of arguments and, in addition, their competences to recognise structural components of arguments, compared to a speed-reading control group. These results have important implications for education and practice, which will be discussed in detail in this dissertation.
Studien zeigen, dass Fahrer in Notfallsituationen meistens eher bremsen als ausweichen, obwohl ausweichen möglicherweise die bessere Strategie zur Kollisionsvermeidung gewesen wäre. Um Fahrer besser bei der Kollisionsvermeidung zu unterstützen, wurden daher in den letzten Jahren Assistenzsysteme entwickelt, die den Fahrer nicht mehr nur bei Notbremsmanövern, sondern auch bei Notausweichmanövern durch einen automatischen Eingriff in die Querführung unterstützen sollen. Allerdings zeigte sich in mehreren Studien, dass das Verhalten der Fahrer die Wirksamkeit dieser Assistenten reduziert, insbesondere wenn der Eingriff des Assistenten über das Lenkrad rückgemeldet wurde.
In dieser Arbeit wurde davon ausgegangen, dass diese Reaktion der Fahrer eine Folge automatischer Korrekturprozesse innerhalb eines psychokybernetischen Regelkreises ist, an dem sensomotorische Regelprozesse zur Steuerung der Lenkradbewegung beteiligt sind. Dazu wurde ein Fahrerverhaltensmodell entwickelt, das den Einfluss der sensomotorischen Regelprozesse im Kontext der Fahraufgabe beschreibt. Auf Basis des Fahrerverhaltensmodells wird angenommen, dass unerwartete haptische Signale am Lenkrad auf Ebene der motorischen Regelung zunächst als Störung des ursprünglichen Handlungsziels interpretiert werden. Um die resultierenden Abweichungen zu korrigieren, wird auf sensomotorischer Ebene ein Korrekturprozess eingeleitet, der erst dann beendet wird, wenn der Fahrer die Möglichkeit hatte, die Situation visuell zu analysieren und sein Handlungsziel an die Situation anzupassen. Dies sollte sich im zeitlichen Verlauf der Fahrerreaktion am Lenkrad widerspiegeln und könnte eine Erklärung für die vom Fahrer verursachte Reduktion der Wirksamkeit sein.
Das Ziel der vorliegenden Arbeit war es, Anhaltspunkte für diese Annahme aufzuzeigen. Im Rahmen von sieben Experimenten wurden der Einfluss von Eingriffen mit haptischer Rückmeldung am Lenkrad und das resultierende Zusammenspiel von sensomotorischen und visuellen Kontrollprozessen untersucht. Alle Studien befassten sich mit Eingriffen in die Querführung, die den Fahrer potenziell bei Notausweichmanövern unterstützen könnten, und betrachteten sowohl Aspekte der Wirksamkeit als auch der Kontrollierbarkeit. Dabei wurde versucht, durch die Gestaltung des Eingriffs, einer gezielten Beeinflussung der Handlungsziele des Fahrers und einer Manipulation der Rückmeldung Unterschiede in der Reaktion des Fahrers auf unerwartete Eingriffe hervorzurufen. Die Lenkreaktionszeit und das Reaktionsmuster der Fahrer dienten hierbei als Indikatoren für die Leistungsfähigkeit der Fahrer, ihre Handlungsziele an die vorliegende Situation anzupassen.
Die Ergebnisse bestätigen die Relevanz der im Modell angenommenen sensomotorischen Kontrollprozesse und damit auch den Einfluss der haptischen Rückmeldung auf das Fahrerverhalten bei automatischen Eingriffen in die Querführung. Die beschriebene Betrachtung des zeitlichen Verlaufs des Lenkverhaltens ermöglicht zudem eine fundierte Evaluation der Fahrer-Fahrzeug-Interaktion, um verschiedene Assistenzsysteme miteinander zu vergleichen. Darüber hinaus liefert die vorliegende Arbeit wertvolle Hinweise für die Gestaltung von Assistenzsystemen, die den Fahrer in Notfallsituationen mit automatischen Eingriffen in die Querführung unterstützen sollen. Insgesamt bietet die Integration sensomotorischer Kontrollprozesse in bestehende Fahrerverhaltensmodelle einen Erklärungsansatz für bestehende Probleme bei der Fahrer-Fahrzeug-Interaktion bei automatischen Eingriffen in die Querführung, wodurch eine Lücke in der aktuellen verkehrspsychologischen Forschung geschlossen wurde.
Regulatory focus (RF) theory (Higgins, 1997) states that individuals follow different strategic concerns when focusing on gains (promotion) rather than losses (prevention). Applying the Reflective-Impulsive Model (RIM, Strack & Deutsch, 2004), this dissertation investigates RF’s influence on basic information processing, specifically semantic processing (Study 1), semantic (Study 2) and affective (Study 3) associative priming, and basic reflective operations (Studies 4-7). Study 1 showed no effect of RF on pre-activation of RF-related semantic concepts in a lexical decision task (LDT). Study 2 indicated that primes fitting a promotion focus improve performance in a LDT for chronically promotion-focused individuals, but not chronically prevention-focused individuals. However, the latter performed better when targets fit their focus. Stronger affect and arousal after processing valent words fitting an RF may explain this pattern. Study 3 showed some evidence for stronger priming effects for negative primes in a bona-fide pipeline task (Fazio et al., 1995) for chronically prevention-focused participants, while also providing evidence that situational prevention focus insulates individuals from misattributing the valence of simple primes. Studies 4-7 showed that a strong chronic prevention focus leads to greater negation effects for valent primes in an Affect Misattribution Procedure (Payne et al., 2005), especially when it fits the situation. Furthermore, Study 6 showed that these effects result from stronger weighting of negated valence rather than greater ease in negation. Study 7 showed that the increased negation effect is independent of time pressure. Broad implications are discussed, including how RF effects on basic processing may explain higher-order RF effects.
