A Mixed-reality Learning Environment

Quint, Fabian; Sebastian, Katharina; Gorecky, Dominic

doi:10.1016/j.procs.2015.12.199

Cited by 68 publications

(35 citation statements)

References 14 publications

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“…age, so as to achieve visualization of complex medical anatomical structure in three dimension, which is often the difficult part of medical surgery. [3][4][5] By means of the real-time interaction between the mixed reality equipment and the real individualized cases of patients, the complex human body structure and diseased parts can be realistically displayed in front of eyes. It is convenient for doctors to observe and analyze from multiple angles and levels, make operation plan preoperatively and guide operation intraoperatively.…”

Section: Ai In Healthcare and Medicinementioning

confidence: 99%

Application of Mixed Reality Technology in Visualization of Medical Operations

Gao¹,

Tan²,

Sun³

et al. 2019

Chinese Medical Sciences Journal

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With the continuous progress of virtual simulation technology, medical surgery visualization system has been developed from two-dimensional to three-dimensional, from digital to network and intelligentization. The visualization system with mixed reality technology will also be used in all stage of medical surgery, such as case discussion, surgical planning, intraoperative guidance, post-operative evaluation, rehabilitation, so as to further promote high intelligence, high precision of medical surgery, and consequently improve effectiveness of treatment and quality of medical service. This paper discusses the composition and technical characteristics of medical operation visualization system based on mixed reality technology, and introduces some typical applications of mixed reality technology in medical operation visualization, which provides a new perspective for the application of mixed technology in medical surgery.

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Section: Ai In Healthcare and Medicinementioning

confidence: 99%

Application of Mixed Reality Technology in Visualization of Medical Operations

Gao¹,

Tan²,

Sun³

et al. 2019

Chinese Medical Sciences Journal

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“…Results that indicate which phrases co-occurred most often within each of the clusters are presented in Figure 4. Analysis retrieved four main topics, i.e., (1) personnel development in learning organizations [32][33][34][35][36][37][38], (2) training techniques for personnel [39][40][41], (3) future engineering profile and engineering education [42][43][44], and (4) relational capabilities [45][46][47]. Although the total number of papers was 44, the cluster algorithm included 7 papers in Cluster 1 and 3 papers for the remaining clusters, since the topics of other papers were highly specific, and could not be assigned to any of the developed clusters.…”

Section: Topic Miningmentioning

confidence: 99%

“…These are: "frequent meetings with customers; frequent meetings with suppliers; dialogue with government to influence policy that encourages research and technology transfer; partnership actions for the commercialization of products and services; active membership with sector associations; immersion in science and technological parks; intentionally establishing links with entrepreneurship-supporting entities; human resources development by technical training institutions; and systematic links with the universities" [46]. For the future manufacturing, "interdisciplinary competences from engineering, information technology, and computer science are required" [47].…”

mentioning

confidence: 99%

A Bibliometric and Topic Analysis on Future Competences at Smart Factories

2018

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The aim of the study is to review the topic of competences that will be present at smart factories. The study used bibliometric and topic analysis to achieve insight into new trends in Industry 4.0. Bibliometric analysis and topic mining was done on 43 peer-reviewed journal articles and conference papers, published before July 2018 in the Thomson Reuters’ Web of Science and Scopus databases, using the software tool Statistica Data Miner. Results are segmented into four sections: (1) personnel development in learning organizations, (2) training techniques for personnel, (3) future engineering profiles and engineering education, and (4) relational capabilities. Each section is thoroughly discussed in this paper. The study contributes to the pool of knowledge on Industry 4.0 phenomena by compiling competences needed at smart factories in the future.

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“…In addition, researchers could also explore new ways in which sensor-based educational devices could be used to bring learning content into the physical world, thus allowing advanced abstract concepts to be more easily understood. Perhaps, hypothetical scenarios could be created through computer simulations [12,30,47] to help students experience and test concepts in other fields such as social science or history. Another important topic which we believe could greatly enhance the value of ubiquitous learning devices would be to find novel ways to integrate social learning through networked smart objects.…”

Section: Future Workmentioning

confidence: 99%

Designing a ubiquitous sensor-based platform to facilitate learning for young children in Thailand

Putjorn

Siriaraya

Ang

et al. 2017

Proceedings of the 19th International Conference on Human-Computer Interaction With Mobile Devices and Services

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Education plays an important role in helping developing nations reduce poverty and improving quality of life. Ubiquitous and mobile technologies could greatly enhance education in such regions by providing augmented access to learning. This paper presents a three-year iterative study where a ubiquitous sensor based learning platform was designed, developed and tested to support science learning among primary school students in underprivileged Northern Thailand. The platform is built upon the school's existing mobile devices and was expanded to include sensor-based technology. Throughout the iterative design process, observations, interviews and group discussions were carried out with stakeholders. This lead to key reflections and design concepts such as the value of injecting anthropomorphic qualities into the learning device and providing personally and culturally relevant learning experiences through technology. Overall, the results outlined in this paper help contribute to knowledge regarding the design, development and implementation of ubiquitous sensor-based technology to support learning.

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A Mixed-reality Learning Environment

Cited by 68 publications

References 14 publications

Application of Mixed Reality Technology in Visualization of Medical Operations

Application of Mixed Reality Technology in Visualization of Medical Operations

A Bibliometric and Topic Analysis on Future Competences at Smart Factories

Designing a ubiquitous sensor-based platform to facilitate learning for young children in Thailand

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