Virtual Reality and HyperReality Technologies in Universities

Author(s):  
Lalita Rajasingham ◽  
John Tiffin

The term HyperReality (HR) was coined by Nobuyoshi Terashima to refer to “the technological capability to intermix virtual reality (VR) with physical reality (PR) and artificial intelligence (AI) with human intelligence (HI)” (Terashima, 2001, p. 4). HR is a technological capability like nanotechnology, human cloning and artificial intelligence. Like them, it does not as yet exist in the sense of being clearly demonstrable and publicly available. Like them, it is maturing in laboratories where the question ‘if?’ has been replaced by the question ‘when?’ And like them, the implications of its appearance as a basic infrastructure technology are profound and merit careful consideration (Tiffin & Terashima, 2001). Because of this, universities – if they are to be universities – will be involved with HR as a medium and subject of instruction and research, and for the storage and development of knowledge (Tiffin & Rajasingham, 2003). The concepts of HyperUniversities, HyperClasses, Hyperschools and HyperLectures are at the same level of development as the concepts of virtual universities, virtual classes, virtual colleges and virtual schools in the later part of the 1980s (Tiffin & Rajasingham, 1995).

Author(s):  
Lalita Rajasingham

The term HyperReality (HR) was coined by Nobuyoshi Terashima to refer to “the technological capability to intermix virtual reality (VR) with physical reality (PR) and artificial intelligence (AI) with human intelligence (HI)” (Terashima, 2001, p. 4). HR is a technological capability like nanotechnology, human cloning and artificial intelligence. Like them it does not as yet exist in the sense of being clearly demonstrable and publicly available. Like them it is maturing in laboratories where the question “if?” has been replaced by the question “when?” And like them the implications of its appearance as a basic infrastructure technology are profound and merit careful consideration. (Tiffin &Rajasingham, 2001) Because of this, universities, if they are to be universities, will be involved with HR as a medium and subject of instruction and research, and for the storage and development of knowledge (Tiffin & Rajasingham, 2003). The concepts of HyperUniversities, HyperClasses, Hyperschools, and HyperLectures are at the same level of development as the concepts of virtual universities, virtual classes, virtual colleges, and virtual schools in the later part of the 1980s (Tiffin & Rajasingham, 1995). A project on emerging nanotechnology, Consumer Products Inventory contains over 380 products ranging from clothing, home furnishing, medical scanning and diagnostics tools, electronics, computer hardware, scanning microscopes, and so on (http://www.nanotechproject. org/index.php?id=44&action=view). This is the future environment for which universities will need to educate society. HyperReality subsumes virtual reality. HR is only possible because of the development of computer-generated virtual reality, in particular, the development of distributed virtual reality which makes it possible for different people in different places to interact together in the same virtual reality. It was the theoretical application of this capability to education, and especially to university education, that lead to the concept of virtual classes in virtual schools and universities (Tiffin & Rajasingham, 1995). Initial experiments simulated virtual classes by using videoconferencing, audio conferencing, and audiographic conferencing. The emergence of the Internet shifted these ideas from a laboratory stage to institutional development of institutions calling themselves virtual universities and virtual schools, by virtue of being able to bring teachers and students together in classes using telecommunications and computers, instead of public transport and buildings. Today, synchronous and asynchronous virtual classes are conducted using learning management systems (LMS) applications such as Blackboard, Chatterbox, Eluminate, and Lotus LearningSpace on the Internet. Furthermore, highly interactive, reusable learning objects (LOs) that are adaptable in all aspects, and interoperable with other learning objects, are rapidly coming online (Hanisch & Straber, 2003). HypreReality LOs, still in Beta, are being developed. HyperReality also subsumes artificial intelligence. Teaching machines and computers have been used for instruction since the early days of computer-assisted instruction (CAI) in the 1960s, albeit with little overall impact on education, especially at the university level. However, the growing capability and ubiquity of AI expert systems and agents, the vast amount of repetitive work involved in teaching, and the growing application of business criteria to the management of education suggest that AI agents, conceivably in avatar form, will be adopted in education, and the place where this will begin is likely to be in the universities.


Author(s):  
Isaiah Michael Omame ◽  
Juliet C. Alex-Nmecha

Artificial intelligence (AI) is one of the emerging trends and applications of computing in libraries. It involves programming computers to do things, which if done by humans, would be said to require intelligence. The ultimate promise of artificial intelligence in libraries is to develop computer systems or machines that think, behave, and in fact rival human intelligence, and this clearly has major implications on librarianship. The application of artificial intelligence in the library has become pervasive. They include expert systems for reference services, book reading and shelf-reading robots, virtual reality for immersive learning among others. Although the incorporation of artificial intelligence in libraries can be perceived to alienate librarians from their users, it will probably help libraries do more rather than taking over the jobs of librarians. It will enhance their services delivery. Artificial intelligence will greatly improve library operations and services and will upgrade and heighten the relevance of libraries in an ever-changing digital society.


2019 ◽  
Vol 24 (2) ◽  
pp. 241-258
Author(s):  
Paul Dumouchel

The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the sense and meaning of such comparisons. Comparing artificial intelligence with human intelligence could allow us to understand both forms better. This paper thus aims to compare and distinguish these two forms of intelligence, focusing on three issues: forms of embodiment, autonomy and judgment. Doing so, I argue, should enable us to have a better view of the promises and limitations of present-day artificial intelligence, along with its benefits and dangers and the place we should make for it in our culture and society.


2021 ◽  
Vol 27 (4) ◽  
Author(s):  
Francisco Lara

AbstractCan Artificial Intelligence (AI) be more effective than human instruction for the moral enhancement of people? The author argues that it only would be if the use of this technology were aimed at increasing the individual's capacity to reflectively decide for themselves, rather than at directly influencing behaviour. To support this, it is shown how a disregard for personal autonomy, in particular, invalidates the main proposals for applying new technologies, both biomedical and AI-based, to moral enhancement. As an alternative to these proposals, this article proposes a virtual assistant that, through dialogue, neutrality and virtual reality technologies, can teach users to make better moral decisions on their own. The author concludes that, as long as certain precautions are taken in its design, such an assistant could do this better than a human instructor adopting the same educational methodology.


2021 ◽  
Vol 11 (7) ◽  
pp. 3253
Author(s):  
Umile Giuseppe Longo ◽  
Sergio De Salvatore ◽  
Vincenzo Candela ◽  
Giuliano Zollo ◽  
Giovanni Calabrese ◽  
...  

Background: The application of virtual and augmented reality technologies to orthopaedic surgery training and practice aims to increase the safety and accuracy of procedures and reducing complications and costs. The purpose of this systematic review is to summarise the present literature on this topic while providing a detailed analysis of current flaws and benefits. Methods: A comprehensive search on the PubMed, Cochrane, CINAHL, and Embase database was conducted from inception to February 2021. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. The Cochrane Risk of Bias Tool and the Methodological Index for Non-Randomized Studies (MINORS) was used to assess the quality and potential bias of the included randomized and non-randomized control trials, respectively. Results: Virtual reality has been proven revolutionary for both resident training and preoperative planning. Thanks to augmented reality, orthopaedic surgeons could carry out procedures faster and more accurately, improving overall safety. Artificial intelligence (AI) is a promising technology with limitless potential, but, nowadays, its use in orthopaedic surgery is limited to preoperative diagnosis. Conclusions: Extended reality technologies have the potential to reform orthopaedic training and practice, providing an opportunity for unidirectional growth towards a patient-centred approach.


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