Martin Pszeida

Screening for Alzheimer’s disease in the community using an AI-driven screening platform: design of the PREDICTOM study

Anna‐Katharine Brem, Zunera Khan, Jonas Radermacher, Kostas Georgiadis et autres

BACKGROUND: Recent developments in physiological, imaging and digital biomarkers combined with the approval of new disease-modifying drugs against Alzheimer's disease (AD) and diagnostic blood tests provide an opportunity to shift the first diagnostic steps to the home-setting. While these novel biomarkers enable …

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Evaluating usability and acceptance of a socially assistive robot supported cognitive training for depression – results of the randomized controlled pilot study ‘AMIGA’

Alfred Haeussl, Ina Zwigl, Lena Stojec, Irina S. Smolak et autres

The integration of socially assistive robots (SARs) in mental healthcare offers promising opportunities to enhance traditional treatments. The humanoid SAR “Pepper” has shown potential for supporting cognitive and emotional interventions for individuals. While SAR acceptance has been explored in general healthcare, limited …

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Screening for Alzheimer’s disease in the community using an AI-driven screening platform: design of the PREDICTOM study

Anna‐Katharine Brem, Zunera Khan, Jonas Radermacher, Kostas Georgiadis et autres

Background: Recent developments in physiological, imaging and digital biomarkers combined with the approval of new disease-modifying drugs against Alzheimer’s disease (AD) and diagnostic blood tests provide an opportunity to shift the first diagnostic steps to the home-setting. While these novel biomarkers enable …

Screening for Alzheimer's disease in the community using an AI-driven screening platform: design of the PREDICTOM study.

Anna‐Katharine Brem, Zunera Khan, Jonas Radermacher, Kostas Georgiadis et autres

Background Recent developments in physiological, imaging and digital biomarkers combined with the approval of new disease-modifying drugs against Alzheimer's disease (AD) and diagnostic blood tests provide an opportunity to shift the first diagnostic steps to the home-setting. While these novel biomarkers enable …

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Decision-Making in Emergency Response Organisations: Human Factors Challenges and Implications for Digital Support Systems

Hannes Kern, Katja Hüttenbrenner, Clemens Koenczoel, Deborah Huber et autres

Emergency response organisations operate under conditions of extreme time pressure, uncertainty, and high stakes, where the quality of operational decisions directly affects the safety of responders and the public. Increasing technological complexity, novel hazard profiles such as alternative energy carriers and lithium-ion …

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Stress and Recovery Signatures from Wearable Biosignal Data in the Production Environment

Lucas Paletta, Wolfgang Weiss, Ciprian Alexandrescu, Diana Nastase et autres

Production work involves time pressure, variable workload, and shift schedules that may contribute to sustained psychophysiological strain. Wearable sensing can support continuous, low-burden monitoring of stress and recovery and may inform resilience-oriented workplace interventions. This pilot study examined stress and recovery signatures …

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Wearable Biosignal and Pupillometry Analytics for Stress-Probe Evaluation in Mixed Reality Illegal Checkpoint Training

Michael Schneeberger, Andreas Peer, Georg Aumayr, Martin Pszeida et autres

Military first responders and civilian experts in international peace missions must make rapid, safety-critical decisions while managing conflict escalation under acute stress. Live field exercises such as the “Native Challenge” provide high realism but are costly and difficult to repeat systematically. The …

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Investigating Mindfulness and Decision-Making under Stress Using Immersive Virtual Reality Firefighting Scenarios

Alexander Elser, Clemens Koenczoel, Deborah Huber, Manfred Pollheimer-Stadlober et autres

First responders, including firefighters, must maintain focused attention and make high-quality decisions under time pressure, with incomplete information, and rapidly evolving hazards. Their actions directly impact the safety and survival of civilians and fellow emergency responders. The aim of this study was …

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Integrating firefighters’ individual physical state in enhanced automated respiratory protection monitoring as decision-support: Influence on cognitive load in complex incident operations in a VR-Study

Clemens Koenczoel, Deborah Huber, Manfred Pollheimer-Stadlober, Alexander Elser et autres

We developed an extended automated respiratory protection monitoring system integrating firefighters’ physical states to reduce cognitive load on incident commanders in complex firefighting operations. Background: During critical firefighting operations, decisions must be made in the presence of potentially stressful factors such as …

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Rapid Military Triage of Traumatic Brain Injury Using Eye Tracking and Pupillometry

Michael Schneeberger, Martin Pszeida, Dietmar Maurer, Lucas Paletta

Rapid triage in military operations must reliably identify “hidden” neurological impairment among soldiers who appear only slightly wounded. Mild to moderate traumatic brain injury (TBI), concussion, and neurotoxic exposures can present with subtle early signs that are easily missed under stress, time …

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Emotional Regulation of Adults with high-functioning ASD Using Pupillometry from Real and Artificial Stimuli

Martin Pszeida, Yannick Lieb, Wolfgang Weiss, Christian Poglitsch et autres

Social interaction deficits are a core characteristic of Autism Spectrum Disorder (ASD) and are often linked to atypical attentional processing of socially relevant cues (Baron-Cohen, 1995). Understanding these mechanisms is essential for developing sensor-based learning analytics in serious games. Eye movement analysis …

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Mobile Platform for Integrated Data Capture in Immersive First Responder Training and Decision-Making

Martin Pszeida, Michael Schneeberger, Wolfgang Weiss, Clemens Koenczoel et autres

Immersive VR training is increasingly adopted by first-responder academies, yet objectively assessing decision-making under operational stress remains challenging. This is largely due to bio-signals, gaze data, and contextual video being captured with heterogeneous tools that produce inconsistent timestamps and offer limited robustness …

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