output
19932026
most citedAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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cs.HC2026

Dishonesty Tendencies in Testing Scenarios Among Students with Virtual Reality and Computer-Mediated Technology

Tanja Kojić, Alina Dovhalevska, Maurizio Vergari +2

Virtual reality (VR) systems have the potential to be an innovation in the field of e-learning. Starting with fully functional e-classes, VR technologies can be used to build entir…

cs.HC2026

Integrating Virtual and Augmented Reality into Public Education: Opportunities and Challenges in Language Learning

Tanja Kojić, Maurizio Vergari, Giulia-Marielena Benta +4

Virtual Reality (VR) and Augmented Reality (AR) are emerging as transformative tools in education, offering new possibilities for engagement and immersion. This paper explores thei…

cs.HC2025★ 2 cited

Actionable Cybersecurity Notifications for Smart Homes: A User Study on the Role of Length and Complexity

Victor Jüttner, Charlotte S. Löffler, Erik Buchmann

The proliferation of smart home devices has increased convenience but also introduced cybersecurity risks for everyday users, as many devices lack robust security features. Intrusi…

cs.HC2025★ 2 cited

Digital Twins for Extended Reality Tourism: User Experience Evaluation Across User Groups

Maximilian Warsinke, Francesco Vona, Tanja Kojić +2

This study evaluates the user experience (UX) in extended reality (XR) tourism of two digital twin-based applications: an Augmented Reality Virtual Tour (AR-VT) for enhanced on-sit…

cs.HC2025★ 9 cited

Implicit Search Intent Recognition using EEG and Eye Tracking: Novel Dataset and Cross-User Prediction

Mansi Sharma, Shuang Chen, Philipp Müller +2

For machines to effectively assist humans in challenging visual search tasks, they must differentiate whether a human is simply glancing into a scene (navigational intent) or searc…

cs.HC2025

Combining Human-centred Explainability and Explainable AI

Janin Koch, Vitor Fortes Rey

This position paper looks at differences between the current understandings of human-centered explainability and explainability AI. We discuss current ideas in both fields, as well…