Post-graduate theses

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Identifier	000466337
Title	Mistakes were made; design patterns for error feedback in virtual reality training simulations in a no-code authoring tool
Alternative Title	Mistakes were made; μοτίβα σχεδιασμού για αντροφοδότηση σφαλμάτων σε εκπαιδευτικές προσομοιώσεις εικονικής πραγματικότητας με την χρήση συγγραφικού εργαλείου χωρίς την χρήση κώδικα
Author	Φιλιππίδης, Αχιλλέας Χ.
Thesis advisor	Παπαγιαννάκης, Γεώργιος
Reviewer	Στεφανίδης, Κωνσταντίνος Γραμμένος, Δημήτριος
Abstract	According to the latest neuroscientific advances, four human mechanisms are most prominent in influencing the brain’s learning ability: attention, active engagement, error feedback, and consolidation. In this context, error feedback is a crucial mechanism that impacts efficiently the learning process. Today, although error feedback is utilized in many Virtual Reality (VR) training simulations, its implementation does not follow any standard workflow. VR training simulations are customized on an ad hoc basis according to specific requirements. This lack of a standardized framework or methodology does not allow the consistent exploitation of error feedback across diverse VR training simulations. In this thesis, we present error feedback algorithms specially formulated as VR software design patterns. Aiming to provide accurate, intuitive, and immersive feedback to the user, the proposed five VR software design patterns are based on at least one of the three in-VR human perceptions: haptic, visual, and auditory. Additionally, this thesis provides a methodology for capturing important sensory user data at the time of the incorrect interaction, such as eye-gaze fixation, user position within the virtual world, and the particular interactable object. In this respect, the author of the VR training simulation is empowered with a novel, nocode UI to set up, configure, and visualize the aforementioned user data. Lastly, we provide a novel error-feedback mind-map visualization UI that summarizes all user errors during training, the user’s fixation points on interactable objects, the user’s position when triggering an error, and all interaction data related to each interactive object.
Language	English
Subject	Computer graphics
	How humans learn
	Software design patterns
	Training scenarions
	Γραφικά υπολογιστών
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Issue date	2024-07-26
Collection	School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
	Type of Work--Post-graduate theses
Permanent Link	https://elocus.lib.uoc.gr//dlib/6/d/8/metadata-dlib-1721734076-214827-4263.tkl
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