Immersive Technology in Tourism

Immersive Technology and Tourism

• Immersive technology includes Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)

Types of Immersive Technology

• Virtual Reality (VR): uses 360-degree cameras to create an immersive experience
• Augmented Reality (AR): overlays digital information onto the real world
• Mixed Reality (MR): combines elements of both VR and AR

Importance of AR/VR in Tourism

• The virtual tourism market is set to grow at a CAGR of 30.2% between 2023 and 2028, reaching a valuation of $23.5 billion

360° Benefits and Challenges

• Benefits: immersive virtual site tours, cost-effective, and accessible
• Challenges: limited interactivity, quality, and tech requirements

VR Benefits and Challenges

• Benefits: immersive, accessible, flexible, safe, and sustainable
• Challenges: not accessible, tech requirements, not risk-free, and costly

AR Triggers

• Types of AR triggers: markerless, superimposition-based, projection-based, and marker-based

AR Applications in Tourism

• Examples: Halo AR app, city guided tours
• Companies offering AR-based tourism apps and equipment

Google Geospatial

• Google Geospatial allows developers to create AR experiences with Geospatial Creator or virtual 3D immersive experiences with Photorealistic 3D Tiles
• Winner in Tourism Category: Singapore Tourism Board

AR Benefits and Challenges

• Benefits: navigation, interaction, virtual experiences, and inclusivity
• Challenges: user experience, privacy, tech requirements, and cost

Immersive Tourism Experiences

• Examples: The Speaking Celt, Museum of Celtic Heritage, Salzburg; YouTube VR Tourism Playlist; Brink Traveler; Wander
• Features: virtual travel experiences, virtual guides, multiplayer capability, gamification elements, and educational content

Immersive Technology and Tourism

• Immersive technology includes Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)

Types of Immersive Technology

• Virtual Reality (VR): uses 360-degree cameras to create an immersive experience
• Augmented Reality (AR): overlays digital information onto the real world
• Mixed Reality (MR): combines elements of both VR and AR

Importance of AR/VR in Tourism

• The virtual tourism market is set to grow at a CAGR of 30.2% between 2023 and 2028, reaching a valuation of $23.5 billion

360° Benefits and Challenges

• Benefits: immersive virtual site tours, cost-effective, and accessible
• Challenges: limited interactivity, quality, and tech requirements

VR Benefits and Challenges

• Benefits: immersive, accessible, flexible, safe, and sustainable
• Challenges: not accessible, tech requirements, not risk-free, and costly

AR Triggers

• Types of AR triggers: markerless, superimposition-based, projection-based, and marker-based

AR Applications in Tourism

• Examples: Halo AR app, city guided tours
• Companies offering AR-based tourism apps and equipment

Google Geospatial

• Google Geospatial allows developers to create AR experiences with Geospatial Creator or virtual 3D immersive experiences with Photorealistic 3D Tiles
• Winner in Tourism Category: Singapore Tourism Board

AR Benefits and Challenges

• Benefits: navigation, interaction, virtual experiences, and inclusivity
• Challenges: user experience, privacy, tech requirements, and cost

Immersive Tourism Experiences

• Examples: The Speaking Celt, Museum of Celtic Heritage, Salzburg; YouTube VR Tourism Playlist; Brink Traveler; Wander
• Features: virtual travel experiences, virtual guides, multiplayer capability, gamification elements, and educational content

Understanding Generative AI

• Generative AI refers to technology that can create new content based on large volumes of data.
• Examples of generative AI tools include ChatGPT and Google Bard, which can answer questions, complete written tasks, and respond to prompts in a human-like way.
• Other forms of generative AI can produce audio, code, images, text, simulations, and videos.

Opportunities for the Education Sector

• Generative AI tools are good at quickly analyzing, structuring, and writing text, and turning prompts into audio, video, and images.
• When used appropriately, generative AI has the potential to reduce workload across the education sector and free up teachers' time to focus on delivering excellent teaching.
• However, the content produced by generative AI could be inaccurate, inappropriate, biased, taken out of context, or out of date.

Using AI Effectively

• To make the most of generative AI, users need to have knowledge to draw on and be able to write good prompts and sense-check the results.
• Generative AI tools can make certain written tasks quicker and easier, but cannot replace the judgment and deep subject knowledge of a human expert.
• The education sector should use technology safely and effectively to deliver excellent education that prepares pupils to contribute to society and the future workplace.

Limitations of Generative AI Tools

• Generative AI tools can produce unreliable information, and any content produced requires professional judgment to check for appropriateness and accuracy.
• Generative AI returns results based on the dataset it has been trained on, which may not be comparable with a human-designed resource developed in the context of the curriculum.

Protecting Data, Pupils, and Staff

• Generative AI stores and learns from the data it is given, and any data entered should not be identifiable.

• Generative AI can create believable content, including scam emails, and people interact with it differently.

• Schools and colleges should protect personal and special category data in accordance with data protection legislation, and not allow or cause intellectual property to be used to train generative AI models without appropriate consent or exemption to copyright.### Intellectual Property Rights

• Pupils own the intellectual property (IP) rights to their original content, including work that shows calculation or is beyond multiple-choice questions.

• Consent from the rights holder or an exemption to copyright is required for using IP to train AI models.

• Education institutions must obtain appropriate consent or exemption to copyright before using pupils' original work to train generative AI models.

Preventing Malpractice

• Schools, colleges, universities, and awarding organizations must take reasonable steps to prevent malpractice involving generative AI.
• The Joint Council for Qualifications has published guidance on AI use in assessments to support teachers and exam centers in protecting the integrity of qualifications.
• The guidance includes information on what counts as AI misuse and requirements for teachers and exam centers to prevent and detect malpractice.

Knowledge and Skills for the Future

• A knowledge-rich curriculum is necessary to help students become well-informed users of technology and understand its impact on society.
• Strong foundational knowledge ensures students develop the right skills to make the best use of generative AI.
• The education sector needs to prepare students for changing workplaces, teach them how to use emerging technologies safely and appropriately, and cover topics such as:
  • Limitations, reliability, and potential bias of generative AI
  • Organization and ranking of internet information
  • Online safety and protection against harmful content
  • Creating and using digital content safely and responsibly
  • Impact of technology, including disruptive and enabling technologies
  • Foundational knowledge about computer workings, connections, and data processing

Research and Development

• The Office for AI is conducting research into the skills needed for future workforce training.
• The education system should support students in identifying and using appropriate resources, encourage effective use of age-appropriate resources, and prevent over-reliance on limited tools or resources.
• The Department for Education (DfE) will continue to work with experts to consider and respond to the implications of generative AI and other emerging technologies, and support primary and secondary schools in teaching a knowledge-rich computing curriculum.

Understanding Generative AI

• Generative AI refers to technology that can create new content based on large volumes of data.
• Examples of generative AI tools include ChatGPT and Google Bard, which can answer questions, complete written tasks, and respond to prompts in a human-like way.
• Other forms of generative AI can produce audio, code, images, text, simulations, and videos.

Opportunities for the Education Sector

• Generative AI tools are good at quickly analyzing, structuring, and writing text, and turning prompts into audio, video, and images.
• When used appropriately, generative AI has the potential to reduce workload across the education sector and free up teachers' time to focus on delivering excellent teaching.
• However, the content produced by generative AI could be inaccurate, inappropriate, biased, taken out of context, or out of date.

Using AI Effectively

• To make the most of generative AI, users need to have knowledge to draw on and be able to write good prompts and sense-check the results.
• Generative AI tools can make certain written tasks quicker and easier, but cannot replace the judgment and deep subject knowledge of a human expert.
• The education sector should use technology safely and effectively to deliver excellent education that prepares pupils to contribute to society and the future workplace.

Limitations of Generative AI Tools

• Generative AI tools can produce unreliable information, and any content produced requires professional judgment to check for appropriateness and accuracy.
• Generative AI returns results based on the dataset it has been trained on, which may not be comparable with a human-designed resource developed in the context of the curriculum.

Protecting Data, Pupils, and Staff

• Generative AI stores and learns from the data it is given, and any data entered should not be identifiable.

• Generative AI can create believable content, including scam emails, and people interact with it differently.

• Schools and colleges should protect personal and special category data in accordance with data protection legislation, and not allow or cause intellectual property to be used to train generative AI models without appropriate consent or exemption to copyright.### Intellectual Property Rights

• Pupils own the intellectual property (IP) rights to their original content, including work that shows calculation or is beyond multiple-choice questions.

• Consent from the rights holder or an exemption to copyright is required for using IP to train AI models.

• Education institutions must obtain appropriate consent or exemption to copyright before using pupils' original work to train generative AI models.

Preventing Malpractice

• Schools, colleges, universities, and awarding organizations must take reasonable steps to prevent malpractice involving generative AI.
• The Joint Council for Qualifications has published guidance on AI use in assessments to support teachers and exam centers in protecting the integrity of qualifications.
• The guidance includes information on what counts as AI misuse and requirements for teachers and exam centers to prevent and detect malpractice.

Knowledge and Skills for the Future

• A knowledge-rich curriculum is necessary to help students become well-informed users of technology and understand its impact on society.
• Strong foundational knowledge ensures students develop the right skills to make the best use of generative AI.
• The education sector needs to prepare students for changing workplaces, teach them how to use emerging technologies safely and appropriately, and cover topics such as:
  • Limitations, reliability, and potential bias of generative AI
  • Organization and ranking of internet information
  • Online safety and protection against harmful content
  • Creating and using digital content safely and responsibly
  • Impact of technology, including disruptive and enabling technologies
  • Foundational knowledge about computer workings, connections, and data processing

Research and Development

• The Office for AI is conducting research into the skills needed for future workforce training.
• The education system should support students in identifying and using appropriate resources, encourage effective use of age-appropriate resources, and prevent over-reliance on limited tools or resources.
• The Department for Education (DfE) will continue to work with experts to consider and respond to the implications of generative AI and other emerging technologies, and support primary and secondary schools in teaching a knowledge-rich computing curriculum.

Understanding Generative AI

• Generative AI refers to technology that can create new content based on large volumes of data.
• Examples of generative AI tools include ChatGPT and Google Bard, which can answer questions, complete written tasks, and respond to prompts in a human-like way.
• Other forms of generative AI can produce audio, code, images, text, simulations, and videos.

Opportunities for the Education Sector

• Generative AI tools are good at quickly analyzing, structuring, and writing text, and turning prompts into audio, video, and images.
• When used appropriately, generative AI has the potential to reduce workload across the education sector and free up teachers' time to focus on delivering excellent teaching.
• However, the content produced by generative AI could be inaccurate, inappropriate, biased, taken out of context, or out of date.

Using AI Effectively

• To make the most of generative AI, users need to have knowledge to draw on and be able to write good prompts and sense-check the results.
• Generative AI tools can make certain written tasks quicker and easier, but cannot replace the judgment and deep subject knowledge of a human expert.
• The education sector should use technology safely and effectively to deliver excellent education that prepares pupils to contribute to society and the future workplace.

Limitations of Generative AI Tools

• Generative AI tools can produce unreliable information, and any content produced requires professional judgment to check for appropriateness and accuracy.
• Generative AI returns results based on the dataset it has been trained on, which may not be comparable with a human-designed resource developed in the context of the curriculum.

Protecting Data, Pupils, and Staff

• Generative AI stores and learns from the data it is given, and any data entered should not be identifiable.

• Generative AI can create believable content, including scam emails, and people interact with it differently.

• Schools and colleges should protect personal and special category data in accordance with data protection legislation, and not allow or cause intellectual property to be used to train generative AI models without appropriate consent or exemption to copyright.### Intellectual Property Rights

• Pupils own the intellectual property (IP) rights to their original content, including work that shows calculation or is beyond multiple-choice questions.

• Consent from the rights holder or an exemption to copyright is required for using IP to train AI models.

• Education institutions must obtain appropriate consent or exemption to copyright before using pupils' original work to train generative AI models.

Preventing Malpractice

• Schools, colleges, universities, and awarding organizations must take reasonable steps to prevent malpractice involving generative AI.
• The Joint Council for Qualifications has published guidance on AI use in assessments to support teachers and exam centers in protecting the integrity of qualifications.
• The guidance includes information on what counts as AI misuse and requirements for teachers and exam centers to prevent and detect malpractice.

Knowledge and Skills for the Future

• A knowledge-rich curriculum is necessary to help students become well-informed users of technology and understand its impact on society.
• Strong foundational knowledge ensures students develop the right skills to make the best use of generative AI.
• The education sector needs to prepare students for changing workplaces, teach them how to use emerging technologies safely and appropriately, and cover topics such as:
  • Limitations, reliability, and potential bias of generative AI
  • Organization and ranking of internet information
  • Online safety and protection against harmful content
  • Creating and using digital content safely and responsibly
  • Impact of technology, including disruptive and enabling technologies
  • Foundational knowledge about computer workings, connections, and data processing

Research and Development

• The Office for AI is conducting research into the skills needed for future workforce training.
• The education system should support students in identifying and using appropriate resources, encourage effective use of age-appropriate resources, and prevent over-reliance on limited tools or resources.
• The Department for Education (DfE) will continue to work with experts to consider and respond to the implications of generative AI and other emerging technologies, and support primary and secondary schools in teaching a knowledge-rich computing curriculum.

Explore the role of immersive technology, including virtual and augmented reality, in the tourism industry. Learn about its applications and importance.