Marc Dziennus

Bio: Marc Dziennus is an academic researcher. The author has contributed to research in topics: Interaction design & Automation. The author has an hindex of 6, co-authored 12 publications receiving 250 citations.

Acceptance of Automated Road Transport Systems (ARTS): An adaptation of the UTAUT model

Abstract: As research into innovative forms of automated transportation systems gains momentum, it is important that we develop an understanding of the factors that will impact the adoption of these systems. In an effort to address this issue, the European project CityMobil2 is collecting data around large-scale demonstrations of Automated Road Transport Systems (ARTS) in a number of cities across Europe. For these systems to be successful, user acceptance is vital. The current study used the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate the factors which might influence acceptance of ARTS vehicles, which were operational in two locations in Europe. The results indicate that the UTAUT constructs of performance expectancy, effort expectancy and social influence were all useful predictors of behavioural intentions to use ARTS, with performance expectancy having the strongest impact. However, it would appear that other factors are also needed in order for the model to strongly predict behavioural intentions in an automated transport context. Based on these findings, a number of implications for developers and ideas for future research are suggested.

Interaction design of automatic steering for collision avoidance: challenges and potentials of driver decoupling

Abstract: Studies concerning collision avoidance show that most drivers tend to brake, even if evasive manoeuvres were better. Automatic steering for collision avoidance would help here. Studies in the EU project interactIVe observed that drivers show a tendency to hold the steering wheel and disturb the automatic steering when kept in the control loop. A strategy of driver decoupling, for example, by means of steer-by-wire systems could improve the automatic steering performance. However, the major challenge of using steer-by-wire systems is to enable the driver to compensate false system activation, for example, evasion into oncoming traffic. A time-dependent strategy of driver decoupling using steer-by-wire combined with override recognition by counter steering above a certain threshold was implemented in a research vehicle. The interaction strategy was tested with 45 participants on a test track in two different scenarios; a collision situation with justified evasion and a false alert scenario with unjustified system activation. In a between-subject design the decoupling strategy (using steer-by-wire) was compared against automatic steering with fully coupled driver and force feedback on the steering wheel and against Manual Driving without automatic steering. When the driver was temporarily decoupled, the obstacle avoidance performance was better but the driver was less able to counteract a false avoidance manoeuvre. The analysis of driver behaviour revealed options to improve the interaction strategy.

Ambient light based interaction concept for an integrative driver assistance system – a driving simulator study

Abstract: For today’s vehicles several advanced driver assistance systems are on the market supporting the driver in critical driving situations or automating parts of the driving tasks. In the future there will be even more. Currently, those assistance systems do not use a common and consistent interaction strategy to communicate with the driver. The goal of the present study is to present and to evaluate a concept using ambient light for presenting information of different assistance systems in an integrated way. Research on visual peripheral warnings showed positive effects on driver reaction times in demanding situations. This paper presents results of a driving simulator experiment, in which an ambient light concept using peripheral visual perception were tested. A 360° LED stripe was installed around the driver in a fixed-based driving simulator providing interaction signals via peripheral vision. The developed ambient light display should support the driver in different driving situations by a consistent colour-coded interaction design. In a between-group design 41 participants (21 with and 20 without ambient light) drove eight different highway scenarios to test the display. Results of the ambient light interaction design regarding driver reactions and subjective evaluation regarding comprehensibility of the ambient light concept are reported and discussed.

Interaction design for automation initiated steering manoeuvres for collision avoidance

Abstract: This paper provides a summary of three experimental studies conducted at DLR research facilities (two simulator studies and a test track study) testing different interaction designs for an automation initiated steering manoeuvre in emergency situations. The results of all three studies are discussed in the light of current technical developments allowing for automated steering interventions on the one hand and human factors issues such as controllability of false activations and overridability of interventions by the driver on the other hand. The results show both the safety potential and the still existing controllability issues of partially decoupling the driver.

Interaction design for nomadic devices in highly automated vehicles

Abstract: Following the roadmaps of (inter)national committees, highly automated driving will be available in the next decade in production vehicles. This technology allows the driver to do some other tasks while driving and to remain only as a fallback in situations the automation is not capable to handle. This study tested if nomadic devices, that drivers might use while driving highly automated, can be integrated to support the driver in taking over control when requested. 33 drivers participated in a simulator study and drove in a highly automated vehicle on a motorway. The results showed that the takeover performance of drivers improve if the takeover request is displayed additionally on the nomadic device. Therefore, the integration of additional interfaces such as smartphones into a holistic interaction concept may be a key aspect for designing a secure and comfortable takeover process.

An empirical investigation on consumers’ intentions towards autonomous driving

Abstract: Major steps towards implementation of autonomous and connected transport are being taken nowadays. The trend of automation technology being used in vehicles by the most important vehicle manufacturing industries is expected to move closer to high or fully Autonomous Vehicles (AVs) through technological advancements in sectors of robotics and artificial intelligence. Vehicles with autonomous driving capabilities are planning to be available on market, in full scale, in the next years. In the longer term substantial benefits are mainly expected for accessibility to transport, safety, traffic flow, emissions, fuel use and comfort. All these potential societal benefits will not be achieved unless AVs are accepted and used by a critical mass of people. Addressing these challenges, this paper: (a) proposes a technology acceptance modelling process by extending the original Technology Acceptance Model (TAM) to explain and predict consumers’ intensions towards AVs, (b) based on the proposed TAM-extended framework, a 30-question survey was conducted in order to investigate the factors influencing consumers’ intensions to use and accept AVs. Results show that the constructs of perceived usefulness, perceived ease to use, perceived trust and social influence, are all useful predictors of behavioral intentions to have or use AVs, with perceived usefulness having the strongest impact. The insights derived from this study could significantly contribute to ongoing research related to technology acceptance of AVs and are expected to allow automobile industries to improve their design and technology.

What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems

Abstract: The main aim of this study was to use an adapted version of the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate the factors that influence users’ acceptance of automated road transport systems (ARTS). A questionnaire survey was administered to 315 users of a CityMobil2 ARTS demonstration in the city of Trikala, Greece. Results provide evidence of the usefulness of the UTAUT framework for increasing our understanding of how public acceptance of these automated vehicles might be maximised. Hedonic Motivation, or users’ enjoyment of the system, had a strong impact on Behavioural Intentions to use ARTS in the future, with Performance Expectancy, Social Influence and Facilitating Conditions also having significant effects. The anticipated effect of Effort Expectancy did not emerge from this study, suggesting that the level of effort required is unlikely to be a critical factor in consumers’ decisions about using ARTS. Based on these results, a number of modifications to UTAUT are suggested for future applications in the context of automated transport. It is recommended that designers and developers should consider the above issues when implementing more permanent versions of automated public transport.

A human factors perspective on automated driving

Abstract: Automated driving can fundamentally change road transportation and improve quality of life. However, at present, the role of humans in automated vehicles (AVs) is not clearly established. Interviews were conducted in April and May 2015 with 12 expert researchers in the field of human factors (HFs) of automated driving to identify commonalities and distinctive perspectives regarding HF challenges in the development of AVs. The experts indicated that an AV up to SAE Level 4 should inform its driver about the AV's capabilities and operational status, and ensure safety while changing between automated and manual modes. HF research should particularly address interactions between AVs, human drivers and vulnerable road users. Additionally, driver-training programmes may have to be modified to ensure that humans are capable of using AVs. Finally, a reflection on the interviews is provided, showing discordance between the interviewees’ statements – which appear to be in line with a long history of HFs research – and the rapid development of automation technology. We expect our perspective to be instrumental for stakeholders involved in AV development and instructive to other parties.

Acceptance of driverless vehicles: Results from a large cross-national questionnaire study

Abstract: Shuttles that operate without an onboard driver are currently being developed and tested in various projects worldwide. However, there is a paucity of knowledge on the determinants of acceptance of driverless shuttles in large cross-national samples. In the present study, we surveyed 10,000 respondents on the acceptance of driverless vehicles and sociodemographic characteristics, using a 94-item online questionnaire. After data filtering, data of 7,755 respondents from 116 countries were retained. Respondents reported that they would enjoy taking a ride in a driverless vehicle (mean = 4.90 on a scale from 1 = disagree strongly to 6 = agree strongly). We further found that the scores on the questionnaire items were most appropriately explained through a general acceptance component, which had loadings of about 0.7 for items pertaining to the usefulness of driverless vehicles and loadings between 0.5 and 0.6 for items concerning the intention to use, ease of use, pleasure, and trust in driverless vehicles, as well as knowledge of mobility-related developments. Additional components were identified as thrill seeking, wanting to be in control manually, supporting a car-free environment, and being comfortable with technology. Correlations between sociodemographic characteristics and general acceptance scores were small (<0.20), yet interpretable (e.g., people who reported difficulty with finding a parking space were more accepting towards driverless vehicles). Finally, we found that the GDP per capita of the respondents’ country was predictive of countries’ mean general acceptance score ( across 43 countries with 25 or more respondents). In conclusion, self-reported acceptance of driverless vehicles is more strongly determined by domain-specific attitudes than by sociodemographic characteristics. We recommend further research, using objective measures, into the hypothesis that national characteristics are a predictor of the acceptance of driverless vehicles.