Michael Oehl

dblp:76/4349 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0002-0871-2286ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Immersive interaction · 60% Ubiquitous computing and smart environments · 40%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Smart cities and intelligent transportation · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Smart cities and intelligent transportation › mobility-on-demand
autonomous mobility-on-demand
0.522026
Easy to handle: Exploring users' interactions with an augmented reality human-machine interface for virtual stops in automated on-demand mobility scenarios · Int. J. Hum. Comput. Stud. 2026
Supporting user experience of shared automated mobility on-demand through novel virtual infrastructure: Making the case for virtual stops · Int. J. Hum. Comput. Stud. 2023

Methods — techniques the papers use, named apart from their topics

virtual reality simulation · 2.0usability testing · 2.0virtual infrastructure · 1.3
YearPublicationVenuePosition
2026 Easy to handle: Exploring users' interactions with an augmented reality human-machine interface for virtual stops in automated on-demand mobility scenarios
abstract
For the success of future shared automated mobility on-demand (SAMOD) a high quality of service needs to be assured. One key challenge lies in the passenger journey, particularly in finding the designated virtual stop (vStop) for pick-up and identifying the approaching shuttle. Therefore, the new vStop human-machine interface (vStop HMI) concept supports passengers with means of augmented reality (AR). This explorative user study with young adults (N = 44) used a virtual reality (VR) setup to simulate the AR-based vStop HMI and answers two research questions across two consecutive scenarios: (1) When using an AR-based navigation aid like the vStop HMI, users tend to focus heavily on their device while walking, which may increase the risk of negligent roadside behavior. While restricting AR information access during walking might reduce this risk, how does it affect overall user experience? To examine this, we compared a vStop HMI with restricted AR information access against a baseline condition. Results showed positive effects on user experience and acceptance for both HMI versions, although workload was partly negatively affected. (2) When identifying the approaching shuttle, does using the vStop HMI effectively assist users in doing so and lead to positive user experience? Usability testing indicated positive rates of workload, user experience, and acceptance during the shuttle identification task. Overall, the findings suggest that selectively restricting AR information during navigation tasks can help mitigate undesired user behavior in roadside environments while maintaining high levels of pragmatic quality and acceptance. Moreover, the vStop HMI enables seamless shuttle identification, even under complex conditions. By improving these critical stages of the passenger journey, the vStop HMI concept has the potential to enhance the overall quality of SAMOD services and increase public acceptance of future shared, automated, demand-responsive transportation systems.
Fabian Hub, Marc Wilbrink, Michael Oehl
Int. J. Hum. Comput. Stud.3
2023 Supporting user experience of shared automated mobility on-demand through novel virtual infrastructure: Making the case for virtual stops
Fabian Hub, Michael Oehl, Tobias Hesse, Katharina Seifert
Int. J. Hum. Comput. Stud.2