22 citations · 97 across the 19 of their papers we have counts for
9 papers · 1 filter
Beyond Conversations: Spatially-Anchored Previews for Intent Disambiguation in LLM-Assisted Geometry Editing in Virtual Reality
Junlong Chen, Amr Gomaa, Jens Grubert +1
User intent disambiguation remains a key challenge in intelligent interactive systems. While they have been widely studied in dialogue systems in 2D interfaces, research on how int…
Your Interface, Your Control: Adapting Takeover Requests for Seamless Handover in Semi-Autonomous Vehicles
Amr Gomaa, Simon Engel, Elena Meiser +9
With the automotive industry transitioning towards conditionally automated driving, takeover warning systems are crucial for ensuring safe collaborative driving between users and s…
AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI Researchers
Amr Gomaa, Michael Sargious, Antonio Krüger
The increasing integration of machine learning across various domains has underscored the necessity for accessible systems that non-experts can utilize effectively. To address this…
Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers
Amr Gomaa, Guillermo Reyes, Michael Feld +1
The rapid advancement of the automotive industry towards automated and semi-automated vehicles has rendered traditional methods of vehicle interaction, such as touch-based and voic…
Adaptive User-Centered Multimodal Interaction towards Reliable and Trusted Automotive Interfaces
Amr Gomaa
With the recently increasing capabilities of modern vehicles, novel approaches for interaction emerged that go beyond traditional touch-based and voice command approaches. Therefor…
In-Vehicle Interface Adaptation to Environment-Induced Cognitive Workload
Elena Meiser, Alexandra Alles, Samuel Selter +3
Many car accidents are caused by human distractions, including cognitive distractions. In-vehicle human-machine interfaces (HMIs) have evolved throughout the years, providing more…
What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving
Amr Gomaa, Alexandra Alles, Elena Meiser +3
Several researchers have focused on studying driver cognitive behavior and mental load for in-vehicle interaction while driving. Adaptive interfaces that vary with mental and perce…
ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle
Amr Gomaa, Guillermo Reyes, Michael Feld
Over the past decades, the addition of hundreds of sensors to modern vehicles has led to an exponential increase in their capabilities. This allows for novel approaches to interact…
Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle
Amr Gomaa, Guillermo Reyes, Alexandra Alles +2
Hand pointing and eye gaze have been extensively investigated in automotive applications for object selection and referencing. Despite significant advances, existing outside-the-ve…