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To develop truly human-centered automated systems, it is essential to acknowledge that human reasoning is prone to systematic deviations from rational judgment, known as Cognitive Biases.
Carina Manger +2 more
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Applying IDC theory to education in the Alps region: a response to Chan et al.’s contribution
In this paper, we present a response to the Interest-Driven Creator (IDC) theory from a European perspective. Specifically, we raise six questions intended to start a dialog with respect to IDC theory’s placement in existing learning theories, its ...
Pierre Dillenbourg +4 more
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Sidewalk delivery robots are being deployed as a form of last-mile delivery. While many such robots have been deployed on college campuses, fewer have been piloted on public sidewalks.
David Weinberg +3 more
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Effects of exposure to immersive videos and photo slideshows of forest and urban environments
A large number of studies have demonstrated the benefits of natural environments on people’s health and well-being. For people who have limited access to nature (e.g., elderly in nursing homes, hospital patients, or jail inmates), virtual representations
Fariba Mostajeran +3 more
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Magic NeRF lens: interactive fusion of neural radiance fields for virtual facility inspection
Virtual reality (VR) has become an important interactive visualization tool for various industrial processes including facility inspection and maintenance.
Ke Li +6 more
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In this article we investigate the role of interactive haptic-enabled tangible robots in supporting the learning of cursive letter writing for children with attention and visuomotor coordination issues.
Arzu Guneysu Ozgur +8 more
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Give the people what they want: studying end-user needs for enhancing the web [PDF]
End-user programming (EUP) is a common approach for helping ordinary people create small programs for their professional or daily tasks. Since end-users may not have programming skills or strong motivation for learning them, tools should provide what end-
Tak Yeon Lee, Benjamin B. Bederson
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This paper examines the generalization capacity of two state-of-the-art classification and similarity learning models in reliably identifying users from their motion patterns across diverse eXtended Reality (XR) applications. We introduce a novel dataset
Lukas Schach +3 more
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In a changing world full of innovative technologies, trust and trust requirements are increasingly important for designing user-centred systems and ensuring their long-term implementation.
Sophia Hick +2 more
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Adaptive Real-Time Translation Assistance Through Eye-Tracking
This study introduces the Eye-tracking Translation Software (ETS), a system that leverages eye-tracking data and real-time translation to enhance reading flow for non-native language users in complex, technical texts.
Dimosthenis Minas +3 more
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