scholarly journals Digitalization of airport design and architecture

Author(s):  
Naveed Khan

Global adoption of digital technology is greatly informing the redesign of airports, aiming to increase efficiency, hospitality, and experience. Airports are transitioning away from traditional typologies of transit hubs and transforming into destinations that offer everything in one place, from retail to dining to entertainment [1]. By examining the socio-cultural, technological, and design shifts as presented by contemporary airports, the current applications of artificial intelligence, biometrics, and personalization and the impacts of digital technology and architectural design as it relates to the overall user experience and transformation of airport typologies is explored. The ways travelers maximize their time while in transit at airports in order to reduce stress and anxiety related to air travel and how operators can create a more sustainable and adaptable workflows are all considerations and strategies that can empower a partnership between architects, airport operators and the public in the planning and development of airport spaces.

2021 ◽  
Author(s):  
Naveed Khan

Global adoption of digital technology is greatly informing the redesign of airports, aiming to increase efficiency, hospitality, and experience. Airports are transitioning away from traditional typologies of transit hubs and transforming into destinations that offer everything in one place, from retail to dining to entertainment [1]. By examining the socio-cultural, technological, and design shifts as presented by contemporary airports, the current applications of artificial intelligence, biometrics, and personalization and the impacts of digital technology and architectural design as it relates to the overall user experience and transformation of airport typologies is explored. The ways travelers maximize their time while in transit at airports in order to reduce stress and anxiety related to air travel and how operators can create a more sustainable and adaptable workflows are all considerations and strategies that can empower a partnership between architects, airport operators and the public in the planning and development of airport spaces.


Theology ◽  
2021 ◽  
Vol 124 (5) ◽  
pp. 341-348
Author(s):  
Karen O’Donnell

This article reflects on the theologian as dreamer in the context of human enhancement, artificial intelligence and digital technology. In positioning the theologian as the dreamer of possible futures, I argue that it is the responsibility of the theologian to engage in exploration of such an imagined future in our service to the public, both in the ecclesial community and beyond. This theological endeavour is both practical (in that it begins with lived experience) and constructive (it seeks to construct theology that responds to the needs of a rapidly changing society). I offer two examples of imagined futures as case studies of this mode of theology in practice, before considering potential difficulties in such a theological mode. Finally, I offer a mandate for the theologian as dreamer of distant futures; the theologian as one with responsibility to imagine the impossible and reflect on its meaning and impact on humanity.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1426-1436
Author(s):  
Abhisek Pal ◽  
Kiranmai Gudimetla ◽  
Riyazuddin Md Y ◽  
Akkalakshmi M

The sheer severity of the spread of the pandemic is being overwhelmed by hospitals and medical centres. Although the public discourse was already dominated by digital technology in healthcare, the onset of Covid-19 was a landmark creation. Telehealth visits will leap to 1 billion visits this year from a previously estimated 36 million for 2020 as over 200 countries try to counter varying degrees of Covid-19 impact. The term AI refers to a variety of instruments utilized for distinguishing designs in the information. Rather than conventional techniques for design recognizable proof, AI instruments depend on Artificial Intelligence consciousness to delineate patterns from a lot of information, would self be able to improve as and when new information opens up and is snappier in achieving these assignments. This audit portrays different procedures of AI that have been utilized in the past in the forecast, identification and the board of irresistible infections, and how these apparatuses are being brought into the fight against COVID-19. Furthermore, we likewise examine their applications in different phases of the pandemic, the preferences, impediments and conceivable pitfalls.


2020 ◽  
Author(s):  
Mayda Alrige ◽  
Hind Bitar Bitar ◽  
Maram Meccawi ◽  
Balakrishnan Mullachery

BACKGROUND Designing a health promotion campaign is never an easy task, especially during a pandemic of a highly infectious disease, such as Covid-19. In Saudi Arabia, many attempts have been made toward raising the public awareness about Covid-19 infection-level and its precautionary health measures that have to be taken. Although this is useful, most of the health information delivered through the national dashboard and the awareness campaign are very generic and not necessarily make the impact we like to see on individuals’ behavior. OBJECTIVE The objective of this study is to build and validate a customized awareness campaign to promote precautionary health behavior during the COVID-19 pandemic. The customization is realized by utilizing a geospatial artificial intelligence technique called Space-Time Cube (STC) technique. METHODS This research has been conducted in two sequential phases. In the first phase, an initial library of thirty-two messages was developed and validated to promote precautionary messages during the COVID-19 pandemic. This phase was guided by the Fogg Behavior Model (FBM) for behavior change. In phase 2, we applied STC as a Geospatial Artificial Intelligence technique to create a local map for one city representing three different profiles for the city districts. The model was built using COVID-19 clinical data. RESULTS Thirty-two messages were developed based on resources from the World Health Organization and the Ministry of Health in Saudi Arabia. The enumerated content validity of the messages was established through the utilization of Content Validity Index (CVI). Thirty-two messages were found to have acceptable content validity (I-CVI=.87). The geospatial intelligence technique that we used showed three profiles for the districts of Jeddah city: one for high infection, another for moderate infection, and the third for low infection. Combining the results from the first and second phases, a customized awareness campaign was created. This awareness campaign would be used to educate the public regarding the precautionary health behaviors that should be taken, and hence help in reducing the number of positive cases in the city of Jeddah. CONCLUSIONS This research delineates the two main phases to developing a health awareness messaging campaign. The messaging campaign, grounded in FBM, was customized by utilizing Geospatial Artificial Intelligence to create a local map with three district profiles: high-infection, moderate-infection, and low-infection. Locals of each district will be targeted by the campaign based on the level of infection in their district as well as other shared characteristics. Customizing health messages is very prominent in health communication research. This research provides a legitimate approach to customize health messages during the pandemic of COVID-19.


Author(s):  
Michael Szollosy

Public perceptions of robots and artificial intelligence (AI)—both positive and negative—are hopelessly misinformed, based far too much on science fiction rather than science fact. However, these fictions can be instructive, and reveal to us important anxieties that exist in the public imagination, both towards robots and AI and about the human condition more generally. These anxieties are based on little-understood processes (such as anthropomorphization and projection), but cannot be dismissed merely as inaccuracies in need of correction. Our demonization of robots and AI illustrate two-hundred-year-old fears about the consequences of the Enlightenment and industrialization. Idealistic hopes projected onto robots and AI, in contrast, reveal other anxieties, about our mortality—and the transhumanist desire to transcend the limitations of our physical bodies—and about the future of our species. This chapter reviews these issues and considers some of their broader implications for our future lives with living machines.


Author(s):  
Andrea Renda

This chapter assesses Europe’s efforts in developing a full-fledged strategy on the human and ethical implications of artificial intelligence (AI). The strong focus on ethics in the European Union’s AI strategy should be seen in the context of an overall strategy that aims at protecting citizens and civil society from abuses of digital technology but also as part of a competitiveness-oriented strategy aimed at raising the standards for access to Europe’s wealthy Single Market. In this context, one of the most peculiar steps in the European Union’s strategy was the creation of an independent High-Level Expert Group on AI (AI HLEG), accompanied by the launch of an AI Alliance, which quickly attracted several hundred participants. The AI HLEG, a multistakeholder group including fifty-two experts, was tasked with the definition of Ethics Guidelines as well as with the formulation of “Policy and Investment Recommendations.” With the advice of the AI HLEG, the European Commission put forward ethical guidelines for Trustworthy AI—which are now paving the way for a comprehensive, risk-based policy framework.


2021 ◽  
pp. 1-11
Author(s):  
Lei Wu ◽  
Juan Wang ◽  
Long Jin ◽  
P. Hemalatha ◽  
R Premalatha

Artificial intelligence (AI) is an excellent potential technology that is evolving day-to-day and a critical avenue for exploration in the world of computer science & engineering. Owing to the vast volume of data and the eventual need to turn this data into usable knowledge and realistic solutions, artificial intelligence approaches and methods have gained substantial prominence in the knowledge economy and community world in general. AI revolutionizes and raises athletics to an entirely different level. Although it is clear that analytics and predictive research have long played a vital role in sports, AI has a massive effect on how games are played, structured, and engaged by the public. Apart from these, AI helps to analyze the mental stability of the athletes. This research proposes the Artificial Intelligence assisted Effective Monitoring System (AIEMS) for the specific intelligent analysis of sports people’s psychological experience. The comparative analysis suggests the best AI strategies for analyzing mental stability using different criteria and resource factors. It is observed that the growth in the present incarnation indicates a promising future concerning AI use in elite athletes. The study ends with the predictive efficiency of particular AI approaches and procedures for further predictive analysis focused on retrospective methods. The experimental results show that the proposed AIEMS model enhances the athlete performance ratio of 98.8%, emotion state prediction of 95.7%, accuracy ratio of 97.3%, perception level of 98.1%, and reduces the anxiety and depression level of 15.4% compared to other existing models.


2021 ◽  
Vol 7 (1) ◽  
pp. 519-539
Author(s):  
Thiago Minete Cardozo ◽  
Costas Papadopoulos

Abstract Museums have been increasingly investing in their digital presence. This became more pressing during the COVID-19 pandemic since heritage institutions had, on the one hand, to temporarily close their doors to visitors while, on the other, find ways to communicate their collections to the public. Virtual tours, revamped websites, and 3D models of cultural artefacts were only a few of the means that museums devised to create alternative ways of digital engagement and counteract the physical and social distancing measures. Although 3D models and collections provide novel ways to interact, visualise, and comprehend the materiality and sensoriality of physical objects, their mediation in digital forms misses essential elements that contribute to (virtual) visitor/user experience. This article explores three-dimensional digitisations of museum artefacts, particularly problematising their aura and authenticity in comparison to their physical counterparts. Building on several studies that have problematised these two concepts, this article establishes an exploratory framework aimed at evaluating the experience of aura and authenticity in 3D digitisations. This exploration allowed us to conclude that even though some aspects of aura and authenticity are intrinsically related to the physicality and materiality of the original, 3D models can still manifest aura and authenticity, as long as a series of parameters, including multimodal contextualisation, interactivity, and affective experiences are facilitated.


2021 ◽  
Vol 14 (8) ◽  
pp. 339
Author(s):  
Tatjana Vasiljeva ◽  
Ilmars Kreituss ◽  
Ilze Lulle

This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by a public survey with a questionnaire specially developed for the study and by semi-structured interviews with experts in the artificial intelligence field and management representatives from various companies. This study aims to evaluate the current attitudes of the public and employees of various industries towards AI and investigate the factors that affect them. It was discovered that attitude towards AI differs significantly among industries. There is a significant difference in attitude towards AI between employees at organizations with already implemented AI solutions and employees at organizations with no intention to implement them in the near future. The three main factors which have an impact on AI adoption in an organization are top management’s attitude, competition and regulations. After determining the main factors that influence the attitudes of society and companies towards artificial intelligence, recommendations are provided for reducing various negative factors. The authors develop a proposition that justifies the activities needed for successful adoption of innovative technologies.


2021 ◽  
pp. 146879762110199
Author(s):  
Kaya Barry

Air travel has been an integral part of contemporary tourism, but has been relatively under explored in terms of how it is visualised and represented as part of tourism experiences. This paper explores how the seemingly banal aspects of tourism – such as time spent waiting or transiting – are captured and represented through tourist photography. Reflecting on the process of creating a participatory artwork project, I show how tourists capture their interactions and experiences with an array of transit spaces that play a significant part of the journey. A participatory and creative methodology was employed that invited tourists to share photographs for public exhibitions. The paper explores how the photographs contributed to the artwork offer counter representations of high-speed and glamourized air travel, instead revealing a nuanced, mundane aesthetics of tourist photography and experiences of time spent in transit.


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