Mobile Eyetracking of Museum Learning Experiences

Rainoldi, Mattia; Neuhofer, Barbara; Jooss, Mario

doi:10.1007/978-3-319-72923-7_36

Cited by 21 publications

(23 citation statements)

References 9 publications

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“…The study adopted three data collection methods. Similar to previous studies [22,23], actual interactions with the website were recorded with the use of a Tobii Pro X2-60 eye-tracker. A post-experiment survey, based on a 5-point Likert UX scale [24] and a behavioural intention scale [25], was conducted.…”

Section: Methodsologymentioning

confidence: 99%

Co-creating Personalised Experiences in the Context of the Personalisation-Privacy Paradox

Volchek

Neuhofer

et al. 2021

Information and Communication Technologies in Tourism 2021

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The personalisation-privacy paradox demonstrates a two-fold effect of tourists’ awareness about personalisation on their experience. Compulsory personal data agreements under the GDPR and similar legislation acts raise tourists’ concerns regarding privacy and security. The role of tourist awareness about the value of data-driven personalisation in their co-creation behaviour remains underexplored. This paper applies an exploratory experiment methodology to identify the effects of information about personalisation on tourists’ experience with travel information websites. It triangulates the data from eye-tracking and self-report techniques, to compare the co-creating behaviour of respondents who have or have not been informed about the value of personalisation. The study demonstrates the presence of a personalisation-privacy paradox. It further reveals that awareness about data-driven personalisation motivates tourists to reinforce value co-creation by ensuring the accuracy of information filtering. The study advances our understanding of tourist digital behaviour and provides insights for the design of personalised information services.

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Section: Methodsologymentioning

confidence: 99%

Co-creating Personalised Experiences in the Context of the Personalisation-Privacy Paradox

Volchek

Neuhofer

et al. 2021

Information and Communication Technologies in Tourism 2021

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“…Learning efficiency is a key dimension of museum learning [56], which indicates how quickly the participants perceived exhibit information through exhibit browsing. To reflect learning efficiency, we calculated how many user interfacesthe overall page and detailed pages-were viewed by the participants during the tasks.…”

Section: ) Learning Efficiencymentioning

confidence: 99%

Design and Evaluation of a Distance-Driven User Interface for Asynchronous Collaborative Exhibit Browsing in an Augmented Reality Museum

Chen

Shan

et al. 2021

IEEE Access

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Augmented reality museums allow visitors to jointly view and interact with exhibits. However, real-time exhibit browsing does not accommodate latecomers to museums and offers limited support to temporally separated visitors. To stimulate asynchronous exhibit browsing, we developed a distance-driven user interface that divided the augmented reality exhibit-egocentric space into four distance ranges, each having a set of social networking features and different privileges for exhibit viewing and interaction. The user interface enables asynchronous exhibit browsing for visitors participating at different times. We conducted empirical studies to evaluate how the user interface affected visitors' collaborative exhibit browsing in terms of perceived usability and learning gains. The results show that the perceived usability of the user interface is consistently high across all distance ranges. The user interface stimulates collaborative exhibit browsing with significant improvements in learning efficiency and learning attention durations, although learning satisfaction showed no difference across the participants. Implications for how the distancedriven user interface can be generalised for other interactive applications are discussed.

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“…Smith and Smith (2001) manually timed this VT on six paintings in the permanent collection of the Metropolitan Museum of Art in New York, which contains more than a million objects. The introduction of the eye-tracking in the museum studies (Batcha, et al, 2012;Brieber et al, 2014;Filippini-Fantoni, et al, 2013;Buquet et al, 1988;Heidenreich & Turano's, 2011;Milekic, 2003;Mayr, et al, 2009;Milekic, 2010;Rainoldi et al 2018;Santini et al 2018;Schwan et al 2019) made the calculus of VT and saccades much more precise.…”

Section: Introductionmentioning

confidence: 99%

“…Smith and Smith [ 21 ] manually timed this VT on six paintings in the permanent collection of the Metropolitan Museum of Art in New York, which contains more than a million objects. The introduction of the eye-tracking in the museum studies [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ] made the calculus of VT and saccades much more precise.…”

Section: Introductionmentioning

confidence: 99%

Eye-tracking and learning experience: gaze trajectories to better understand the behavior of memorial visitors

Mesmoudi

Hommet²,

Peschanski

2020

JEMR

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Eye-tracking technology is increasingly introduced in museums to assess their role in learning and knowledge transfer. However, their use provide limited quantitative and/or qualitative measures such as viewing time and/or gaze trajectory on an isolated object or image (Region of Interest "ROI"). The aim of this work is to evaluate the potential of the mobile eye-tracking to quantify the students’ experience and behaviors through their visit of the "Genocide and mass violence" area of the Caen memorial. In this study, we collected eye-tracking data from 17 students during their visit to the memorial. In addition, all visitors filled out a questionnaire before the visit, and a focus group was conducted before and after the visit. The first results of this study allowed us to analyze the viewing time spent by each visitor in front of 19-selected ROIs, and some of their specific sub-parts. The other important result was the reconstruction of the gaze trajectory through these ROIs. Our global trajectory approach allowed to complete the information obtained from an isolated ROI, and to identify some behaviors such as avoidance. Clustering analysis revealed some typical trajectories performed by specific sub-groups. The eye-tracking results were consolidated by the participants' answers during the focus group.

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Mobile Eyetracking of Museum Learning Experiences

Cited by 21 publications

References 9 publications

Co-creating Personalised Experiences in the Context of the Personalisation-Privacy Paradox

Co-creating Personalised Experiences in the Context of the Personalisation-Privacy Paradox

Design and Evaluation of a Distance-Driven User Interface for Asynchronous Collaborative Exhibit Browsing in an Augmented Reality Museum

Eye-tracking and learning experience: gaze trajectories to better understand the behavior of memorial visitors

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