| Ph. Mylonas, C. Troussas, A. Krouska, C. Sgouropoulou |
| Personalized Multimodal Signal Processing for Enhanced HCI in AR Environments |
| 10th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2025), Patras, Greece, September 19-21, 2025 |
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ABSTRACT
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| This paper presents a new framework of personalized multimodal signal processing specifically tuned into Augmented Reality (AR) environments. Our approach is based upon advanced Machine Learning (ML) algorithms to create adaptive interfaces through the integration of audio, visual, and haptic signals that respond preferentially to individual user traits and behaviors. Our focus is on interactive real-time signal processing with respect to gesture and facial recognition and personalized content delivery in AR applications. The system is evaluated through a user study, showing a significant increase in user engagement and its quality through the mix of interactivity factor when compared to existing non-personalized approaches. The results emphasize the effectiveness of personalized signal processing overhaul toward human-computer interaction (HCI) for the future AR tech developments
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| 19 September, 2025 |
| Ph. Mylonas, C. Troussas, A. Krouska, C. Sgouropoulou, "Personalized Multimodal Signal Processing for Enhanced HCI in AR Environments", 10th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2025), Patras, Greece, September 19-21, 2025 |
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