User-Centered Predictive Model for Improving Cultural Heritage Augmented Reality Applications: An HMM-Based Approach for Eye-Tracking Data

User-Centered Predictive Model for Improving Cultural Heritage Augmented Reality Applications: An HMM-Based Approach for Eye-Tracking Data

Today, museum visits are perceived as an opportunity for individuals to explore and make up their own minds. The increasing technical capabilities of Augmented Reality (AR) technology have raised audience expectations, advancing the use of mobile AR in cultural heritage (CH) settings. Hence, there i...

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Bibliographic Details
Main Authors: Roberto Pierdicca, Marina Paolanti, Simona Naspetti, Serena Mandolesi, Raffaele Zanoli, Emanuele Frontoni
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Journal of Imaging
Subjects:
hidden markov models
eye-tracking
augmented reality applications
cultural heritage
Online Access:http://www.mdpi.com/2313-433X/4/8/101

Internet

http://www.mdpi.com/2313-433X/4/8/101

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