Realism, Storytelling and User Experience in HMD-based eXtended Reality for Holocaust Museum

Jin, Allon (2022) Realism, Storytelling and User Experience in HMD-based eXtended Reality for Holocaust Museum. Doctoral thesis, Falmouth University / University of the Arts London.

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Abstract / Summary

Due to the COVID-19 lockdowns and travel restrictions, the demand for remote museum visiting experiences has increased. Fortunately, technologies like Head Mounted Display
(HMD)-based Virtual Reality (VR) and Augmented Reality (AR) have made HMD-based
eXtended Reality Museum (HXRM) experiences possible. HXRMs can be one of or a
combination of the following: an HMD-based AR museum for on-site experience, or an HMDbased VR museum and an HMD-based Augmented Virtuality (AV) museum for remote online
access. HXRM is a new approach for museums to enhance user experience while increasing
learning outcomes and accessibility. Though there has been some previous research for
HXRM, gaps still exist in the interactive narrative and user experience of HXRM. Thus, this
study proposes following three Research Questions (RQ): (1) What is the difference between
the impact of NUI and GUI on user experience in the HMD-based AR museum? (2) What is
the user experience difference between HMD VR and HMD AV as the medium for XR remotesite museums? (3) How is the user acceptance of HMD-based remote-site XR museums?
Based the Technology Acceptance Model (TAM) and several user experience theories, the
author proposed a user experience model for HXRM, an uncanny valley framework for
realistic CG character, and an interactive narrative model. Then, in collaboration with National
Holocaust Centre and Museum, The Extended Journey project was initiated. The project
included an AR HoloLens application, The AR Journey, and a VR application, The Virtual
Journey, that can be deployed on AR headsets like HoloLens and VR headsets like HTC Vive,
respectively. The Extended Journey is an interactive narrative experience that presents the
story of a fictional Jewish boy named Leo using virtual CG characters and environments,
allowing the audience to participate in his story from the second-person-view. The audience
can not only decide the direction of the storyline by helping Leo make choices, but they could
also inspect the environments and objects within them to learn the stories behind them.
Three experiments were then conducted using The Extended Journey, and a mixed
approach of quantitative and qualitative methods were used for analysis. In experiment 1, a
between-subjects design was conducted to answer RQ1, and the results showed that the
influence of interaction mapping on presences and narrative engagement for an HMD-based
AR museum experience is moderated by prior game experience. In experiments 2 and 3, a
between-subjects design and a within-subjects design were performed together to answer RQ
2 and RQ 3. The results showed that HMD VR can produce better narrative immersion,
presence, and enjoyment, while also increasing CG characters’ affinities compared to HMD
AV in XR remote-site museums. The data analysis also showed narrative-based HXRM had
high user acceptance, within which HMD VR demonstrated significantly higher user
acceptance levels than HMD AV for remote-site HXRM. Experiments 2 and 3 verified all the
hypotheses for the mechanism behind the extended TAM via regression analysis, confirming
the influence of the four external factors of narrative engagement, presence, interactivity, and
CG characters’ affinity. In addition, the analysis also revealed two other potential external
factors with influence over the extended TAM: use environment and device ergonomics. Two
independent variables, learning interest and prior game experience, were found to have an
impact on these external factors. Finally, the author summarised the design guidelines for
HXRM and provide an outlook on the limitations and potential future work of this study.

Item Type: Thesis (Doctoral)
Subjects: Computing & Data Science
Courses by Department: The Games Academy
Depositing User: Nicola Bond
Date Deposited: 15 Jan 2024 11:09
Last Modified: 18 Nov 2024 14:24
URI: https://repository.falmouth.ac.uk/id/eprint/5366
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