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In 1999, a tragic catastrophe occurred in the Mont Blanc Tunnel, one of the most important transalpine road tunnels. Twenty-seven of the victims never left their vehicles as a result of which they were trapped in smoke and suffocated (Beard & Carvel, 2005). Immediate evacuation is crucial in tunnel fires, but still many tunnel users stay passive. During emergency situations people strongly influence each other’s behavior (e.g. Nilsson & Johansson, 2009a). So far, only few empirical experimental studies investigated the interaction of individuals during emergencies. Recent developments of advanced immersive virtual worlds, allow simulating emergency situations which makes analogue studies possible. In the present dissertation project, theoretical aspects of human behavior and SI in emergencies are addressed (Chapter 1). The question of Social Influence in emergency situations is investigated in five simulation studies during different relevant stages of the evacuation process from a simulated road tunnel fire (Chapter 2). In the last part, the results are discussed and criticized (Chapter 3). Using a virtual reality (VR) road tunnel scenario, study 1 (pilot study) and 2 investigated the effect of information about adequate behavior in tunnel emergencies as well as Social Influence (SI) on drivers’ behavior. Based on a classic study of Darley and Latané (1968) on bystander inhibition, the effect of passive bystanders on self-evacuation was analyzed. Sixty participants were confronted with an accident and smoke in a road tunnel. The presence of bystanders and information status was manipulated and consequently, participants were randomly assigned into four different groups. Informed participants read a brochure containing relevant information about safety behavior in emergency situations prior to the tunnel drives. In the bystander conditions, passive bystanders were situated in a car in front of the emergency situation. Participants who had received relevant information left the car more frequently than the other participants. Neither significant effect of bystanders nor interaction with information status on the participants’ behavior was observed. Study 3 (pilot study) examined a possible alternative explanation for weak SI in VR. Based on the Threshold Theory of Social Influence (Blascovich, 2002b) and the work of Guadagno et al. (2007), the perception of virtual humans as an avatar (a virtual representation of a real human being) or as an agent (a computer-controlled animated character) was manipulated. Subsequently, 32 participants experienced an accident similar to the one in study 1. However, they were co-drivers and a virtual agent (VA) was the driver. Participants reacted differently in avatar and agent condition. Consequently, the manipulation of the avatar condition was implemented in study 4. In study 4, SI within the vehicle was investigated, as drivers are mostly not alone in their car. In a tunnel scenario similar to the first study, 34 participants were confronted with an emergency situation either as drivers or co-drivers. In the driver group, participants drove themselves and a VA was sitting on the passenger seat. Correspondently, participants in the co-driver group were seated on the passenger seat and the VA drove the vehicle on a pre-recorded path. Like in study 1, the tunnel was blocked by an accident and smoke was coming from the accident in one drive. The VA initially stayed inactive after stopping the vehicle but started to evacuate after ca. 30 seconds. About one third of the sample left the vehicle during the situation. There were no significant differences between drivers and co-drivers regarding the frequency of leaving the vehicle. Co-drivers waited significantly longer than drivers before leaving the vehicle. Study 5 looked at the pre-movement and movement phase of the evacuation process. Forty participants were repeatedly confronted with an emergency situation in a virtual road tunnel filled with smoke. Four different experimental conditions systematically varied the presence and behavior of a VA. In all but one conditions a VA was present. Across all conditions at least 60% of the participants went to the emergency exit. If the VA went to the emergency exit, the ratio increased to 75%. If the VA went in the opposite direction of the exit, however, only 61% went there. If participants were confronted with a passive VA, they needed significantly longer until they started moving and reached the emergency exit. The main and most important finding across all studies is that SI is relevant for self-evacuation, but the degree of SI varies across the phases of evacuation and situation. In addition to the core findings, relevant theoretical and methodological questions regarding the general usefulness and limitations of VR as a research tool are discussed. Finally, a short summary and outlook on possible future studies is presented.
Both specific stimulus valence and unspecific processing dynamics can influence evaluative responses. Eight experiments investigated their respective influence on evaluative judgments in the domain of stereotyping. Valence of stereotypic information and consistency-driven fluency were manipulated in an impression formation paradigm. When information about the to-be-evaluated target person was strongly valenced, no effects of consistency-driven fluency were observed. Higher cognitive processes, valence of inconsistent attributes, processing priority of category information, and impression formation instructions were ruled out as possible factors responsible for the non-occurrence of fluency effects. However, consistency-driven fluency did influence the evaluative judgment, if the information about a target person was not strongly valenced. It is therefore concluded that both stimulus valence and consistency-driven processing fluency play a role in evaluative judgments in the domain of stereotyping. The respective impact of stimulus valence is much stronger than the impact of unspecific processing dynamics, however. Implications for fluency research and the applied field of stereotype change are discussed.
The aim of the present piece of work was to give information about the frequency of psychoactive substances within the German driver population and to identify preventive and promotive circumstances of drug driving. Furthermore, a new methodological approach to gather and link data about the consumption of psychoactive substances and the mobility of drug users is shown. Traditionally, roadside surveys are conducted to estimate the prevalence of drug driving within a population. By the present study, an alternative method is introduced. In total, 195 drug users (mainly cannabis users) and 100 controls out of the normal driving population were queried for four weeks about their driving and drug consumption behaviour by a questionnaire that was deployed on smartphones. The prevalences of drug driving within the sample were extrapolated into representative values. Because the subjects reported all daily activities within the study-period, it was also possible to describe situations in which the subjects decided against driving under influence. Besides, relevant previous experiences, attitudes, the approval of legal regulations, other traffic-specific parameters, social influences and personality variables were queried. So, individual factors that are associated with drug driving can be specified. The results are integrated in a model that shows dependencies of different societal, behavioural and legal variables. They can serve as major input to the discussion on drug driving and can be of practical use for rehabilitation and prevention purposes. The results can be summarised as follows: - Compared to the results of a German roadside survey from 1994, the prevalences that are found within the present study seem pretty low. This finding is discussed and possible explanations for the described trend are lined out. Furthermore, the prevalences that were calculated in the present study are compared to current data from other European countries. - The results show differences between users and controls on several variables. The differences indicate that substance use impacts on the structuring of day-to-day life. Overall, the controls’ days proceed more along a daily working routine than the users’ (e.g. less mobility at night, more mobility at rush-hour, alcohol consumption mainly at nights out). - The individual extent to which drugs are consumed differs dependent on daytime, day of the week and kind of substance. Of course, these dependencies also influence the occurrence of drug driving. Other factors of influence on drug driving are the distance, the availability of alternative modes of transport as well as the presence of female companions. - Not everybody who uses drugs drives under the influence of drugs. A striking predictor for frequent drug driving and highly intoxicated driving is a high consumption, associated with risky consumption patterns and a low subjective feeling of impairment after drug consumption. - The subjects’ attitudes towards drug driving and their beliefs about social norms largely go in line with the behaviour they engage in. Drug users have rather liberal attitudes towards drug use and driving under influence. - A possible deterrence effect of sanctioning and police enforcement and its dependence on the acceptance and awareness of the measures is delineated. - Only small effects are found when examining the objective impairment that is caused by drug use by a computer-based test battery. This result is critically discussed with regards to the operationalisation of the study groups. - Except from driving under influence, there is no evidence to suggest that DUI offenders also show problematic behaviour according to other traffic-related measures. - Parents and peers may have an influence as role models on the development of problematic behaviour. A good relationship between parents and children may have a positive impact on the development of conventional values and behaviour. - Drug use is associated with some crucial personality dimensions and drugs are often used to solve personal problems. A less precise but similar difference was found for users who commit many drives under influence compared to users who never or only sometimes drive under influence. Moreover, users marginally more often have psychological problems compared to controls. Finally, the strengths and weaknesses of the new methodological approach of data collection are discussed as well as the challenges that are faced when implementing it. All in all, it has proved to be a promising method and should serve as a standard to which future studies should aspire.