A cognition-centered personalization framework for cultural-heritage applications

• Κύριος συγγραφέας: Ράπτης, Γεώργιος
• Άλλοι συγγραφείς: Raptis, George
• Γλώσσα: English
• Έκδοση: 2020
• Θέματα: Cultural technologies; Design framework; Personalization; Cognitive characteristics; Human computer-interaction; Τεχνολογίες πολιτισμού; Πλαίσιο σχεδίασης; Εξατομίκευση; Γνωστικά χαρακτηριστικά; Αλληλεπίδραση ανθρώπου-υπολογιστή

Cultural-heritage applications provide the visitors with high volume of cultural information and therefore there is a need for personalizing the visit experience to help visitors understand and perceive the provided cultural content according to the characteristics of their cognitive style. However, the current research and design attempts do not consider the diversity of the visitors, in terms of their cognitive styles, as an important design and evaluation factor. Cognitive styles influence the way people seek, collect, organize, process, and recall information and are expected to have an impact on the cultural-heritage domain, which is enriched in cultural information. The results presented in the PhD thesis revealed that visitors with different cognitive styles behave differently when interacting with cultural-heritage applications. Theses differences influence the visit experience, in terms of content understanding and immersion. The current cultural-heritage applications do not consider the diversity of the visitors in terms of cognitive styles, and thus, they unintentionally led to experience imbalances between visitors with different cognitive styles. The PhD thesis presents CogniCHeF, which is a framework that aims to help designers to deliver personalized cultural-heritage applications tailored to the visitors’ cognitive styles, aiming to offer them an enhanced visit experience. Moreover, the results presented in the PhD thesis revealed that the cognitive styles can be elicited automatically with high accuracy during the first stages of interaction between the visitors and the cultural-heritage applications through the use f eye-tracking data. Furthermore, the results presented in the PhD thesis revealed that CogniCHeF can be efficiently used by cultural-heritage designers to implement personalized applications tailored to the visitors’ cognitive styles. Finally, the results presented in the PhD thesis revealed that cognition-centered personalization improved the overall visit experience.