Hybrid Tourism Recommendation System Based on Functionality/Accessibility Levels

Santos, Filipe; Almeida, Ana; Martins, Constantino; Oliveira, P. B. de Moura

doi:10.1007/978-3-319-61578-3_23

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…webgazer can be configured with different components for tracking gaze, pupils, or faces. We used two such components: the first is clmtrackr 3 , a face fitting library (referred to as CLM in the following), which has been used in academic works for selfie analysis [25], camera-based emotion detection [19], or intelligent public displays in city environments [15]. CLM tracks a face the coordinate positions of a face model, as for example shown Figure 1.…”

Section: Eye Tracker Frameworkmentioning

confidence: 99%

IntelliEye

Robal

Zhao

Lofi

et al. 2018

Proceedings of the 29th on Hypertext and Social Media

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A main weakness of the Massive Open Online Learning movement is retention: a small minority of learners (on average 5-10%, in extreme cases <1%) that start a MOOC complete it successfully. There are many reasons why learners are unsuccessful, among the most important ones is the lack of self-regulation: learners are often not able to self-regulate their learning behavior. Designing tools that provide learners with a greater awareness of their learning is vital to the future success of MOOC environments. Detecting learners' loss of focus during learning is particularly important, as this can allow us to intervene and return the learners' attention to the learning materials. One technological affordance to detect such loss of focus are webcams-ubiquitous pieces of hardware available in almost all laptops today. Recently, researchers have begun to make use of webcams as part of complex machine learning-based solutions to detect inattention or loss of focus based on eye tracking and eye gaze data. However, those approaches tend to have a high detection lag, are inaccurate, and are complex to design and maintain. In contrast, in this paper, we explore the possibility to make use of simple metrics such as gaze presence or face presence to detect a loss of focus in the online learning setting. To this end, we evaluate the performance of three consumer and professional eye-tracking frameworks using a benchmark suite we designed specifically for this purpose: it contains a set of common xMOOC user activities and behaviours. The results of our study show that already those simple metrics pose a significant challenge to current hard-and software-based eye-tracking solutions.

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Section: Eye Tracker Frameworkmentioning

confidence: 99%

IntelliEye

Robal

Zhao

Lofi

et al. 2018

Proceedings of the 29th on Hypertext and Social Media

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Spontaneous Webcam Instance for User Attention Tracking

Robal

2019

2019 Portland International Conference on Management of Engineering and Technology (PICMET)

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Religious Tourism and Accessibility

Sánchez-Fernández

Azpelicueta-Criado

Abríl-Sellarés

2019

Advances in Hospitality, Tourism, and the Services Industry

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This chapter presents a study of religious tourism that analyzes accessibility in two cathedrals with a great number of tourist visits. The comparison is made from universal accessibility, although specifically the motor one, sensory one, and technological access of information in both resources. The geographical area of the study has been in Spain in the Cathedral of Barcelona located in the peninsula and in the Cathedral of Palma of Majorca located in an archipelago. The longitudinal study carried out shows the comparison of the information collected in the year 2014 and July 2017. In general, the results show that throughout these years, while the Cathedral of Palma of Majorca has adapted the tourist resource to tourists with disabilities, the Cathedral of Barcelona has been evolving, although there are still measures and adaptations pending to run to approach an accessible tourism.

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Hybrid Tourism Recommendation System Based on Functionality/Accessibility Levels

Cited by 3 publications

References 10 publications

IntelliEye

IntelliEye

Spontaneous Webcam Instance for User Attention Tracking

Religious Tourism and Accessibility

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