09:00 - 10:30
Parallel sessions 7
09:00 - 10:30
Room: HSZ - 7E02
Chair/s:
Arnd Engeln
Although the amount of traffic deaths in Germany decreases since the early 70s, still nowadays, more than 7 persons lose their lives, and more than 1000 persons get injured in road traffic in average each day. The main reasons are seen in human behavior errors as there are distraction, disregard of priority and inappropriate distances or speeding. That for, the symposium focuses research on human behavior related to traffic safety. The talks focus on research on pedestrians’ prediction of other road users’ behavior, the perspective of different road user groups on cyclists’ behavior as well as the impact of technical innovations on individual behavior – as there are camera-monitor systems in cars and sound reduced cars on the street.

With a literature review on existing UX models to inform the measurement of acceptance of automated driving, we then transition to the topic of “Automated driving - acceptance and interaction in traffic”:
In the talk session immediately following we will present current research on automated driving. The integration of automated cars into mixed traffic with manual motor vehicle drivers, pedestrians and cyclists generates open questions on how to communicate and interact with them. Solutions should ensure traffic safety as well as acceptance by the traffic participants involved. If acceptance is low, the improvement of traffic safety may fail.
The first two talks address research on the impact of external communication on the behavior of manual drivers as well as on other road users. In the following talk the user of the automated car and how to avoid usage errors is focused on.
Submission 151
Exploring the Facet Structure of User Experience (UX): A Systematic Literature Review of Existing UX Models to Inform the Measurement of Acceptance of Automated Driving
SymposiumTalk-04
Presented by: Michaela Teicht
Michaela Teicht 1, 2, Arnd Engeln 1
1 Hochschule der Medien, Stuttgart, Germany
2 University of Hohenheim, Germany
The goal of this systematic literature review is to explore published user experience (UX) models and to identify the UX facets they cover. We search ACM Digital Library, Google Scholar, IEEE Xplore Digital Library, ScienceDirect, Scopus, and SpringerLink for studies in English or German that present a distinguishable UX model. The abstracts of the identified records are screened for eligibility, and relevant full texts are analyzed. Data extraction follows a standardized form, and the synthesis is conducted using the best-fit framework approach. The review revisits the facet structure proposed by Engeln and Engeln (2015), reflecting on its value and limitations. Based on the insights gained, the model is further developed and extended. The resulting model should provide guidance for assessing user experience and acceptance in applied contexts, such as automated driving.