In-flight Entertainment Research Articles

AI and Blockchain Integration in Business Aviation: Securing Supply Chain and Enhancing Traceability

Purpose: The research looks at how AI converges with the blockchain technology in business aviation to better the domains considered most important: maintenance, operations, flight optimization, and observation of regulatory standards. This is aimed at understanding how these technologies bring solutions that will mitigate the specific challenges to aviation related to the security of supply chains, fraud detection, and customer experience improvement. Methodology: The research adopts a qualitative and quantitative approach, reviewing case studies from leading aviation companies such as Airbus and Boeing, alongside real-world data analysis. The integration of AI for predictive maintenance, flight optimization, and in-flight entertainment (IFE) was examined, while blockchain’s role in securing data management, regulatory compliance, and fraud prevention was assessed through documented applications and industry reports. Findings: The identification of predictive maintenance, as ensured through AI, optimizes aircraft performance, having reduced downtime. Moreover, blockchain increases supply chain transparency and security, reduces fraud, and ensures immutable records. On top of that, AI-powered flight planning and in-flight operations significantly help in operational efficiency and customer satisfaction. Moreover, blockchain helps in compliance with regulations because of its secured and traceable data; hence, it serves as a very viable tool in aviation operations. Unique Contribution to Theory, Policy, and Practice: This research contributes to the theory of AI and blockchain integration by presenting a comprehensive framework for their application in aviation. It provides new insights into how AI and blockchain can not only enhance operational efficiency but also address fraud and compliance issues, which are pivotal for policy development. Practically, it offers aviation companies a roadmap for leveraging these technologies to secure their supply chains, optimize operations, and enhance customer experiences, ultimately advancing the entire industry.

Optimize Airline Service Policy Based on Airline Passenger Satisfaction Data Analysis

As the preferred means of transportation for long-distance travel after the epidemic, whether an airline can stand out among its peers is deeply related to whether it can satisfy passengers, and the service quality of an airline can significantly affect passenger satisfaction. In this paper, random Forest is applied to judge the correlation between satisfaction and different service factors, and several factors that have the most significant impact on satisfaction are selected. The results show that the influence degree of Online. boarding, Inflight. wifi. service is significantly higher than other factors. Then, Legroom service, Inflight entertainment, departure-arrival time convenience, and Seat comfort are four factors with significant influence. Therefore, this paper believes that airlines should provide convenient online registration, rich flight entertainment activities, and comfortable seat space to improve passenger satisfaction under the premise of ensuring that their costs do not change much. In this way, airlines can greatly improve their competitiveness to attract and retain more loyal passengers.

Demonstration of an In-Flight Entertainment System Using Power-over-Fiber

The use of optical fibers is increasing in modern aircraft because this helps solve challenges of size, weight, communication, and reliability in new generation aircraft. This study describes a video and power transmission system using optical fibers (PoF) for in-flight entertainment (IFE) system application. We present the benefits and the limitations of this application, and we perform two practical experiments to demonstrate their performance. We used off-the-shelf devices in the experiments, such as one 15-Watt semiconductor laser operating at 808 nm, GaAs photovoltaic converters, optical transmitters and receivers, and video monitors. The power and video signals were transmitted using two 50-m length multimode fibers. In addition, we proposed and tested two types of energy transformation units (ETUs), which are responsible for supplying electrical energy to the IFE video monitor and the optical fiber receiver.

Do We Scapegoat The Pandemic? Investigating The Changes in Satisfaction Drivers of Air Passengers With DWLS-SEM

This paper aims to investigate whether there is an alteration in the drivers of air passenger satisfaction before and after COVID-19. We conducted the multigroup structural equation modelling with the diagonally weighted least squares estimation method as the variables are categorical. Lastly, we performed ANOVA to spot if there is a change in the drivers of passenger satisfaction between before and after the pandemic. The results suggest all service attributes have a significant impact on satisfaction in the pre-COVID-19 era. Even if it seems that in-flight entertainment and in-flight WiFi are not as influential as before in the post-pandemic, ANOVA results revealed the difference between the pre-pandemic and the new-normal period was not statistically significant. Accordingly, airlines should not ignore the need to improve service attributes, called premium services, and holistically improve service design. In addition, after value for money, the most important attribute for passengers is ground handling. Hence, speeding up the boarding process would return carriers in the form of more satisfied customers. To the best of our knowledge, this is the first paper employing Multigroup DWLS SEM to focus on changes in determinants of air passenger satisfaction in a holistic approach, focusing on pandemic periods.

Passenger Service Quality Perceptions to Star Alliance Airlines

Through performance measurement, airline operators can conduct situation assessments and evaluate the contributions of decisions to performance beforehand. Evaluating performance based on the perceived service quality by airline passengers has become crucial for airlines to understand and improve their services in order to achieve success in competition by meeting passengers' desires and expectations. This study aims to examine the perception of customer service quality among airline operators in the Star Alliance, the largest alliance worldwide based on 2023 data, using multi-criteria decision-making (MCDM) methods known as Entropy and MARCOS, with Tripadvisor data as a basis. Firstly, criteria weights were obtained using the Entropy method, and then airline operators were evaluated and ranked based on service quality using the MARCOS method. The study revealed that the most significant evaluation criterion was the in-flight entertainment systems (Wi-Fi, TV, movies), and Singapore Airlines exhibited the best service quality performance.

Exploring the customer experience of Vietnam airlines via sentiment analysis

The sentiment analysis of social media has gained much attention due to the succinct nature of comments, enabling access to public opinions. Using this technique, the present study aimed to explore customer sentiments regarding their experiences with Vietnam Airlines, the national carrier. According to the Skytrax evaluation, Vietnam Airlines achieved a 4-star rating out of 5, indicating the need for service improvements to attain perfection. The significance of this research lies in providing a comprehensive perspective on customer experience evaluations. To achieve this, we utilized the Valence Aware Dictionary for Reasoner (VADER) to classify sentiments expressed in social networking forum data. The dataset comprised 670 reviews from the Skytrax forum, which underwent a data pre-processing phase. The results exhibited favorable accuracy in detecting ternary and multiple sentiment classes. The comparative analysis between visual customer ratings and their corresponding comments yielded similar outcomes. Additionally, the results highlighted the need for a re-evaluation of the in-flight entertainment system.

Exploring the Dynamics of Airline Service Attribute Quality: Identifying Satisfiers and Dissatisfiers

This study seeks to explore the link between the attributes of airline service quality and overall satisfaction. While previous research has suggested a direct connection, this work proposes that attribute quality can have varying effects on satisfaction or dissatisfaction. The analysis involved consumer data from online reviews and aligns with Herzberg, Mausner, and Snyderman’s two-factor theory. It found that certain service attributes such as cleanliness, food and beverages, and in-flight entertainment impact positive ratings as satisfying factors. On the other hand, customer service and check-in/boarding affect negative ratings as dissatisfying factors. Additionally, the study also considered individual features and types of airline products to enhance understanding of these relationships within the airline industry marketplace.

Global perspectives: library professionals' views on multimedia books in airlines

PurposeThis study aims to investigate the potential impact and passenger perceptions of integrating multimedia books within airline services, aiming to elucidate the evolving landscape of in-flight entertainment and reading experiences.Design/methodology/approachA quantitative research methodology was used, using a structured questionnaire distributed to presenters at the International Federation of Library Associations.FindingsAnalysis revealed varying passenger interest in multimedia books, with approximately 57.7% displaying engagement, while 40.4% demonstrated limited interest or none. However, a notable majority (60.6%) preferred multimedia books over traditional print books during flights. Furthermore, 90.4% perceived a positive impact of multimedia books on flight reading experiences, leading to increased satisfaction (81.7%) and a high likelihood of recommending airlines offering such content (91.3%).Research limitations/implicationsThe study's limitations include a specific focus on International Federation of Library Associations and Institutions (IFLA) World Library and Information Congress (WLIC) presenters, potentially limiting broader generalisations. Further research might explore the preferences of a wider demographic range and incorporate qualitative aspects to deepen understanding. Airlines could leverage multimedia books to enhance passenger satisfaction, attract diverse audiences and foster cultural inclusivity within in-flight entertainment.Originality/valueThis study contributes insights into the evolving landscape of in-flight entertainment, emphasising the significant potential and positive impact of integrating multimedia books within airline services. It underscores the importance of catering to diverse passenger preferences and enhancing overall satisfaction during air travel.

Analysis of Airline Passenger Satisfaction Using Decision Tree and Naïve Bayes Algorithms

In the dynamic landscape of airline services, comprehending the intricacies that mold customer satisfaction is paramount to elevating overall service quality. This study aspires to dissect these pivotal elements, contributing nuanced insights that can propel the enhancement of customer satisfaction within the industry. A multifaceted investigation encompasses analyzing demographic data, exploring underlying factors significantly shaping passenger satisfaction, and identifying the most adept model for forecasting imminent passenger satisfaction outcomes. A model was meticulously crafted by leveraging a decision tree algorithm to discern the substantial variables influencing passenger satisfaction. Simultaneously, the Naïve Bayes algorithm was harnessed to prognosticate forthcoming passenger satisfaction. The findings underscore the diverse facets of the flying experience impacting satisfaction, with both ctree and rpart decision tree algorithms spotlighting critical factors, such as online boarding, inflight entertainment, WiFi service, class, and travel type. The Naïve Bayes algorithm demonstrates around 87% accuracy in predicting passenger satisfaction, underscoring its efficacy in discerning patterns within this complex realm.

Airline Management and Customer Experience an Empirical Study from Indian Aviation Sector

In a consumer-driven industry, airlines fight for customers. This study investigates Airline Management and customer experience to attract and retain consumers. Aviation client satisfaction and trip are also assessed. Airlines must stand out with inventive management in a crowded market. Digital management, loyalty programs, pricing, and branding are airline strategies. Understanding how airlines employ these tactics to stand out in a crowded business is crucial to customer acquisition. Any airline's success hinges on customer pleasure. This research explores how airlines affect bookingto- disembarking, focusing on customer service, in-flight experiences, and ground services. It examines how smartphone apps, self-service kiosks, and in-flight entertainment improve passenger experiences. Aviation customer experience assessment is difficult. On-time performance, cabin comfort, and service quality impact consumer happiness and loyalty, according to this study. It stresses data-driven decision-making and tailored service to customize user experiences. Airlines can enhance management and passenger experience using this study. In a competitive industry with fast technological change, airlines must understand management and customer experience. Airline management and customer experience are the focus of this study report. This study studies customer retention and the passenger journey to understand the airline industry's dynamic and customer-centric nature.

Evaluation of the impact of a wildlife trafficking educational display at Seattle-Tacoma International Airport

Seattle-Tacoma International Airport (SEA), Washington, installed an educational display to raise passengers’ knowledge and awareness of wildlife trafficking. Little is known about the efficacy of wildlife trafficking-related educational displays at airports. In the fall of 2022, Port of Seattle (PoS) Business Intelligence conducted an evaluation to assess the impact of the display. The evaluation included three components: observation of passengers viewing the display; a survey with passengers who viewed the display; and a survey with passengers who did not view the display. Observations revealed that 0.8 per cent of passengers stopped to view the display. Mean viewing time was 48 seconds. The more passengers passed through the concourse, the fewer stopped at the display. Most non-viewers (88 per cent) did not notice the display as they passed it on the way to their gate. Non-viewers who noticed the display but did not stop to view it gave being in a hurry and wanting to get to their gate as primary reasons for not stopping. Viewers of the display, compared to non-viewers, reported a greater level of confidence that they could spot a product made from endangered wildlife, increased knowledge about actions that can contribute to wildlife trafficking and a greater belief that their actions can help save endangered animals. Although the display did have an impact on viewers, fewer than 1 per cent of passengers who passed by the display viewed it. Most passengers did not notice it. The findings of this evaluation raise the issue of whether passengers on the way to their departure gate are receptive to viewing an educational display. There may be more opportune approaches to educate passengers about wildlife trafficking, such as presenting information about wildlife trafficking on television screens in gate areas or as part of in-flight entertainment.

AI-Powered Edge-Cloud Continuum for In-Flight Entertainment and Connectivity

AI-Powered Edge-Cloud Continuum for In-Flight Entertainment and Connectivity

Using a Bayesian meta-frontier approach to evaluate airline performance: The nexus between airline efficiency and customer satisfaction

A balanced panel of 83 airlines during 2011–2019, classified into (a) high perceived service quality and (b) low perceived service quality, was incorporated into the Bayesian meta-frontier framework. Our findings were obtained from applying a novel method to data sourced from the ICAO Data+ and Skytrax databases. We obtained consistent efficiency and meta-technology efficiency estimates, shedding light on airlines’ business models, products, and services to improve their efficiency and customer satisfaction. Specifically, we did not identify a trade-off between customer satisfaction and airline efficiency. However, larger firms were more likely to achieve this dual objective. Airlines classified as having high service quality reported greater allocative inefficiency than their low-quality service counterparts. During periods with or without minor external shocks (e.g., 2011–2019), airlines could offer premium products at reasonable prices or with a better quality and cost-of-service balance (e.g., premium economy cabins, extra legroom, inflight entertainment, and Internet).

Aerial-Aided Multiaccess Edge Computing: Dynamic and Joint Optimization of Task and Service Placement and Routing in Multilayer Networks

Ubiquity in network coverage is one of the main features of 5G and is expected to be extended to the computing domain in 6G. In order to provide ubiquity in communication and computation, the integration of satellite, aerial and terrestrial networks is foreseen. In particular, the rising amount of applications such as In-Flight Entertainment and Connectivity Services (IFECS) and Software Defined Networking-enabled satellites renders network management more challenging. Moreover, due to the stringent Quality of Service (QoS) requirements, edge computing is vital for these applications. Network performance can be boosted by considering components of the aerial network, like aircrafts, as potential Multi-Access Edge Computing (MEC) nodes. Thus, to cater to the QoS-critical applications, we propose an Aerial-Aided Multi-Access Edge Computing (AA-MEC) architecture that provides a framework for optimal management of computing resources and internet-based services in the sky. Furthermore, we formulate optimization problems to minimize the network latency for the two use cases of providing IFECS to other aircrafts in the sky and providing services for offloading AI/ML-tasks from satellites. Due to the dynamic nature of the satellite and aerial networks, we propose a re-configurable optimization. For the transforming network we continuously identify the optimal MEC node for each application and the optimal path to the destination MEC node. In summary, our results demonstrate, that using AA-MEC improves network latency performance by 10.43% compared to the traditional approach of using only terrestrial MEC nodes, for latency-critical applications such as online gaming. Furthermore, while comparing our proposed dynamic approach with a static one, we record a minimum of 6.7% decrease in flow latency for IFECS and 56.03% decrease for computation offloading.

Prediction of US airline passenger satisfaction using machine learning algorithms

Due to the COVID-19 pandemic, the U.S. financial system and economy have also been severely affected. The U.S. airline industry has been hit particularly hard by the COVID-19 pandemic. Additionally, the aviation industry is also full of competition. One of the ways to attract customers and compete with other airline companies is by improving their service quality. Therefore, this study aims to predict the satisfaction of airlines based on the machine learning model and discover which features are more correlated with the target variable. In this study, the dataset consists of 129,880 observations and 1 target, 22 features or attributes (not including the identification). In this study, the result showed that the features that slightly correlate more with customer satisfaction are 'Online boarding', 'Inflight entertainment', 'Seat comfort', 'On-board service', 'Leg room service', 'Cleanliness', 'Flight Distance' and 'Inflight wifi service'. Then, K-Nearest Neighbors (KNN), Decision Tree Classifier (DTC), Logistic Regression (LR), Random Forest (RF), Naïve Bayes (NB) and AdaBoost were used to build the classification models. Data cleaning, exploratory data analysis, feature selection and One Hot Encoding were also performed before building the models. Finally, the models were evaluated based on their accuracy, precision, recall and F1-score. The results suggest that the champion model for this study is Random Forest, which achieved 89.20% accuracy, 93.04% precision and 88.80% F1-score. The results of this study can be used as a guide in applying machine learning to predict the satisfaction of airline passengers. This can also contribute to attracting passengers by improving the airline service quality.

Research of Customer Satisfaction in Aviation

There has been a drastic increase in the number of people using air as a transport model across the world. Globalization has triggered rapid increase in the international travel which is offered by various airlines which has resulted to competition. This implies that customer satisfaction is key. The research aimed at establishing customer satisfaction in the aviation industry. Data from cross-sectional data from different airlines. The data is obtained from a Brazilian public dataset. The data has been analyzed using SPSS Software regression analysis, descriptive analysis, extraction method, and using ANOVA. According to the analysis, Age, departure delay, departure and arrival time convenience, ease of online booking, check-in service, online boarding, seat comfort, cleanliness, food and drinks, Inflight WIFI Service, Inflight entertainment, and baggage handling have a positive R which is an indication that they have a positive relationship with the rating.

Lean Manufacturing Analysis to Reduce Delaysin the Inflight Entertainment Service before Departure Check-in Process

Lean Manufacturing Analysis to Reduce Delaysin the Inflight Entertainment Service before Departure Check-in Process

Passengers’ Perceptions and Satisfaction with Digital Technology Adopted by Airlines during COVID-19 Pandemic

Airlines’ major adoption of digital technology during the COVID-19 crisis may have changed how customers experience the services and may affect passengers’ perceptions compared to the past. However, there is a lack of studies systematically examining the adoption of new technology in the airline industry from a passenger satisfaction-centric perspective. This study investigates passengers’ perceptions and satisfaction with digital technology adoption by airlines during the COVID-19 pandemic. An online questionnaire survey was conducted to examine Chinese passengers’ perceptions and satisfaction with 11 digital technology-based services offered by airlines. A total of 365 valid responses were analyzed using ANOVA tests and stepwise multiple linear regression analysis. The analysis indicates that most passengers have a positive attitude towards airlines’ new technology adoption. In the final selected regression model, six technologies offered by the airlines are statistically significant and have impacted passenger satisfaction. They are artificial intelligence (AI) customer service, e-luggage tag, cleaning robot, ultraviolet light and antimicrobial cabin cleaning, an app-controlled in-flight entertainment system, and e-library. The facial recognition service, digital documentation and AI Customer service are the least favorable among the 11 technologies offered by the airlines. There is an opportunity for airlines to improve these services further to gain the trust of the passengers.

Channel Measurements and Modeling for Low Terahertz Communications in an Aircraft Cabin

The low terahertz band (0.1–1 THz) offers very high data rates for novel mobile applications and constitutes a promising candidate to meet the requirements in aviation, enabling future wireless in-flight entertainment (IFE) systems. An extensive knowledge of the propagation effects in the radio channel in complex scenarios is a prerequisite to successfully design a communication system. This article presents a measurement campaign in a real aircraft investigating the radio channel at 300 GHz for different deployments of a wireless IFE system. The propagation effects as well as temporal and spatial channel characteristics are analyzed for likely communication links between an access point and a user equipment (UE). In the same way, interference links between two UEs are studied, reporting transmission and reflection losses for various components of the aircraft. A deterministic and geometry-based channel model is derived and extended to cover the effect of human blockage that suggests an integration of the access point into the passenger service unit. The measurement and realistic path loss models can be used in further link and system level simulations and contribute to the design of future IFE systems.

Blockchain Adoption in Aviation: Opportunities and Challenges

In the world of aviation, current evidence suggests that data management systems are majorly centralized and at the same time suffer some noted shortfalls. Whereas, under this system of operation, it is hard to guarantee trust, especially data provenance, in addition to other shortfalls. More so, there are issues of lack of sufficient governance of data immutability, transparency, auditability, and traceability; which present debilitating drawbacks to the current regime of centralized data management systems in aviation industries. Blockchain as a new normal disruptive technology promises potency and reliability in data trust, traceability, transparency, auditability, and immutability. Blockchain further emphasizes immutability for stored and exchanged data, in transaction environments, in a decentralized and secure manner. That is, in a manner whereby a trusted third-party involvement is not required. For this reason, this paper discusses and highlights the key characteristics that differentiate and denominate Blockchain. It dwells more upon Blockchain application in aviation, in its several sectors such as passenger verification, In-flight Entertainment (IFE) Monetization, Smart Contract, Digital Identity, Distribution, Payment, and so on. Also, the paper did not conclude without pointing out areas of inconclusive research in Blockchain technology to stimulate further research studies leading to new understanding, knowledge, ideation, and idea incubation.