Philipp Clement

ORCID: 0000-0003-2683-4727
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About
Contact & Profiles
Research Areas
  • Human-Automation Interaction and Safety
  • Autonomous Vehicle Technology and Safety
  • Vehicular Ad Hoc Networks (VANETs)
  • Older Adults Driving Studies
  • Traffic and Road Safety
  • Cloud Data Security Solutions
  • Transportation and Mobility Innovations
  • Security and Verification in Computing
  • Healthcare Technology and Patient Monitoring
  • Usability and User Interface Design
  • Smart Grid Security and Resilience
  • Blockchain Technology Applications and Security
  • Software System Performance and Reliability

Anstalt für Verbrennungskraftmaschinen List (Austria)
2018-2023

Graz University of Technology
2022-2023

As vehicle driving evolves from human-controlled to autonomous, human–machine interaction ensures intuitive usage as well the feedback occupants machine for optimising controls. The also improves understanding of user satisfaction with system behaviour, which is crucial determining trust and, hence, acceptance new functionalities that aim improve mobility solutions and increase road safety. Trust are potentially parameters success autonomous deployment in wider society. Hence, there a need...

10.3390/en15030781 article EN cc-by Energies 2022-01-21

As the driving is shifting towards automation, maximization of related benefits would profit from improved user acceptance new technology. Studies suggest a strong connection between and trust in technical solutions. We investigate improvement to automation through demonstrations carried out sophisticated simulator. The study correlates subjective data with objective psychophysiological measurements. multi-factorial multivariate analysis variance investigates influence learning effects...

10.1109/dsd53832.2021.00069 article EN 2022 25th Euromicro Conference on Digital System Design (DSD) 2021-09-01

Autonomous Vehicles are expected to change the existing transportation systems radically and at intermediate SAE automation levels before highly automated vehicles (i.e., 2 3), driving task will still require human interactions with vehicle. To that end, Human-Machine Interfaces (HMIs) play a key role in cooperation between users vehicles. The current study proposes methodology for assessing new types of HMIs aims cover this gap by proposing method novel Also, directives related indicators...

10.1016/j.trpro.2023.11.740 article EN Transportation research procedia 2023-01-01
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