Lesley-Ann Mathis- M.Sc.
- Researcher at Fraunhofer Institute for Industrial Engineering
Lesley-Ann Mathis
- M.Sc.
- Researcher at Fraunhofer Institute for Industrial Engineering
About
21
Publications
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Introduction
Current institution
Publications
Publications (21)
Automatisiertes Fahren ermöglicht Nutzenden das Ausführen fahrfremder Tätigkeiten wie lesen oder relaxen während der Fahrt. Um das Wohlbefinden und Fahrerlebnis von Nutzenden zu steigern, bieten kontextorientierte Sprachassistenten zukünftig das Potenzial, proaktiv mit den Passagierinnen und Passagieren im Fahrzeug zu interagieren. Entscheidend für...
Die Vision zukünftiger Sprachassistenten im Fahrzeug vermittelt das Bild eines digitalen Begleiters, der mit Nutzenden proaktiv interagiert. Um die Nutzerakzeptanz für proaktives Verhalten von Sprachassistenten sicherzustellen, müssen verschiedene Einflussfaktoren für die Wahl des Zeitpunkts und Inhalts der Ansprache betrachtet werden. Ziel dieses...
Mobiles Arbeiten in vollautomatisierten Shuttles ermöglicht in Zukunft eine produktive Nutzung der Reisezeit. In diesem Beitrag werden zwei Konzepte interaktiver Oberflächen im Fahrzeuginnenraum für das Ausführen von Büroaufgaben evaluiert, ein Touchscreen und eine interaktive Projektionsfläche. Neben dem Nutzungserlebnis und der subjektiven Arbeit...
Proactive behaviour of in-vehicle voice assistants is seen as key to develop
increasingly intelligent and interactive systems. One of the main questions for proactive voice assistants is when opportune moments for engaging the user are. We present a driving simulator study (N = 32) investigating different situations of proactive interaction during...
Future development of in-vehicle voice assistants (VA) aims at more adaptive and interactive interaction with users. One focus area is the development of proactive behaviour of VA. With the changing role from driver to passenger in increasingly automated vehicles, new opportunities for interactions with assistants in the car arise. However, potenti...
Automated vehicles (AVs) are expected to enable users to engage in non-driving-related activities (NDRAs). However, users do not easily trust an automated vehicle which poses new challenges for automotive human-machine interfaces (HMIs). Over-presenting vehicle information can distract users from NDRAs, and under-presentation can impact trust and u...
The KARLI project consortium investigates and develops monitoring systems for drivers and other occupants with new artificial intelligence approaches, based on high quality labeled data that is collected in real vehicles. The project’s target applications are integrated in vehicles that enable various levels of automation and transitions of control...
Personalization of products and services entails not only risks but also potentials for sustainability. During the product development process, it is crucial to take into account future usage patterns and their variability. Even if the product itself is not personalized, a user-centered approach during the entire life cycle can unlock many potentia...
In automated driving it is important to ensure drivers’ awareness of the currently active level of automation and to support transitions between those levels. This is possible with
$a$
suitable human-machine interface (HMI). In this driving simulator study, two visual HMI concepts (Concept
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and
$B$
) were compared with
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baseline for i...
Das FlexCAR besteht aus einer autonom gesteuerten Fahrzeugplattform für die Mobilität von morgen, welche Use-Case-gesteuert als Forschungsdemonstrator fungiert, um neue technologische Features unmittelbar aus dem Forschungsstadium nach dem Plug-and-Play–Prinzip gezielt zu implementieren. Damit kann eine frühzeitige Validierung im Hinblick auf ein k...
The Wizard-of-Oz (WoZ) paradigm is an established method in human factors research to investigate the interaction between human and new technology. In particular for automated cars this method is a useful and safe technique to collect data, simulate and investigate how autonomous, Artificial Intelligence (AI)-driven systems should be designed for o...
Nowadays, automotive user interface research strives towards investigating automated vehicles. To test user concepts, especially pertaining to fully automated vehicles, several methods are evolving, such as Virtual Reality studies, simulator studies, or Wizard-of- Oz experiments. In all of these methods, researchers need to find an appropriate driv...
Individualization is considered a megatrend in postmodern societies. The markets react with the individualization of products. However, many approaches fail after considerable sums have already been invested. Therefore, this paper presents a benefit-oriented method to identify potentials for the personalization of products. It first accompanies the...
Working and being productive while commuting and travelling is a promising use case for automated and autonomous vehicles. Whereas different concepts have already been proposed how future interior concepts can support in-car work, user requirements for this use case were not investigated in detail. An online survey with n = 618 participants from al...
Increasing automation is ongoing in all areas of transport. This raises new challenges for the design and training of Human-Machine Interfaces (HMI) for different user groups. The EU-project Drive2theFuture investigates the needs and wants of transportation users, operators, passengers and passersby to gain their acceptance and to set the ground fo...
The objective of this study was to investigate pedestrians’ informational needs towards self-driving vehicles (SDVs). Previous research has shown that external human-machine interfaces (eHMIs) compensate for pedestrian-driver communication when SDVs are integrated into traffic. However, detailed insights on which information the eHMI shall provide...
