Usability and Task Load of Applications in Augmented and Virtual Reality

Lovasz-Bukvova, Helena; Hölzl, Marvin; Kormann-Hainzl, Gerhard; Moser, Thomas; Zigart, Tanja; Schlund, Sebastian

doi:10.1007/978-3-030-85521-5_48

Cited by 8 publications

(6 citation statements)

References 22 publications

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“…Like in [1], the users appreciated the intuitive use of visual feedback for interaction. Compared to [34], the NASA-RTLX was higher in this study (28.30/100), while in their study, it was 21.40 for VR, showing a higher workload in this VR setting.…”

Section: Discussioncontrasting

confidence: 72%

See 1 more Smart Citation

Comparative Evaluation of Virtual Reality and In-Person Onboarding for Assembly Trainings in Manufacturing

Zigart,

Stürzl,

Niedermayr

et al. 2023

2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)

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In recent years, employee turnover has increased to the point where the manufacturing workforce is constantly changing. The onboarding and training processes are time-consuming and costly. Virtual reality (VR) allows skills to be trained before working on the actual production line and learning in a safe environment. This approach promises cost and productivity benefits for companies and a personalized learning experience for users. In this paper, we present the results of a user evaluation of an industrial VR use case for training the assembly of a compressor. The goal of the evaluation is to compare conventional onboarding training inperson with VR training in terms of learning success, workload, net promotion score, and qualitative feedback. Additionally, user acceptance and usability of the VR training are questioned. The results show that the users still prefer conventional training, as the net promoter score is higher for the in-person training. Also, the results of the learning success show better results for in-person training than the VR training.

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Section: Discussioncontrasting

confidence: 72%

“…Figure 5 shows the SUS score in a boxplot diagram. VR SUS scores in literature show 80.00 [32], 75.50 [33], 76.40 [34], and 86.56 and 85.94 [35]. Common SUS scores for everyday products are e.g.…”

Section: Evaluation Of Human Factorsmentioning

confidence: 99%

Comparative Evaluation of Virtual Reality and In-Person Onboarding for Assembly Trainings in Manufacturing

Zigart,

Stürzl,

Niedermayr

et al. 2023

2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)

Self Cite

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“…[12] 70% of all change processes fail due to the lack of a clear goal and a systematic approach to change. [13,14] Therefore good strategic planning, support and monitoring are essential for the success of the implementation. This clearly shows the need for strategic considerations during the rollout.…”

Section: Changing To Extended Realitymentioning

confidence: 99%

Development of a Strategy Roadmap for the Widespread Implementation of Extended Reality

Sorko,

Lichem-Herzog

2024

Teh. glas. (Online)

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Digital transformation has led to a multitude of new technical solutions. This includes Extended Reality technologies: Hardware and software systems that enrich the real environment with information. The area of application extends to the entire value chain and thus offers great potential for companies. A systematic and holistic implementation strategy is necessary to exploit this optimally. XR solutions often remain prototypes mainly because of lack of knowledge management and missing understanding about the technology. In this respect, this article presents a tool for the systematic, holistic strategic consideration of XR from the vision to the planning of measures. The tool presented combines common methods such as the Strategy Map, the Transformation Map or the Balanced Scorecard. Thus, it does not only offer companies a strategic framework, but also includes concrete measures for a sustainable, successful implementation.

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“…These applications include web-based visualization and 3D modeling for cultural heritage objects [251], displaying a 3D image at tourist destinations [252], a virtual city tour [253], a cultural entertainment system that allows tourist to improve their travel experience by carrying out a series of games based on augmented reality [254], and virtual reality applications for museum visitors. For instance, applications were reported in [255] to visualize the grand mosque in Medina (Al-Masjid Al-Nabawi) and religious places in an interactive style with ease of use for guests with the interaction of 3D environments.…”

Section: Virtual Realitymentioning

confidence: 99%

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

2023

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Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to discover holistic, multi-perspective (e.g., local, cultural, national, and international), and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from the academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media and Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months from March 2021 to August 2022 to showcase the public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles. Discovering system parameters are required to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The work presented in this paper has significant theoretical and practical implications in that it improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, holistic, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies.

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Usability and Task Load of Applications in Augmented and Virtual Reality

Cited by 8 publications

References 22 publications

Comparative Evaluation of Virtual Reality and In-Person Onboarding for Assembly Trainings in Manufacturing

Comparative Evaluation of Virtual Reality and In-Person Onboarding for Assembly Trainings in Manufacturing

Development of a Strategy Roadmap for the Widespread Implementation of Extended Reality

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

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