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This paper presents the development of personal thermal comfort models for older adults and assesses the models’ performance compared to aggregate approaches. This is necessary as individual thermal preferences can vary widely between older adults, and the use of aggregate thermal comfort models can result in thermal dissatisfaction for a significant number of older occupants. Personalised thermal comfort models hold the promise of a more targeted and accurate approach.

Twenty-eight personal comfort models have been developed, using deep learning and environmental and personal parameters. The data were collected through a nine-month monitoring study of people aged 65 and over in South Australia, who lived independently. Modelling comprised dataset balancing and normalisation, followed by model tuning to test and select the best hyperparameters’ sets. Finally, models were evaluated with an unseen dataset. Accuracy, Cohen’s Kappa Coefficient and Area Under the Receiver Operating Characteristic Curve (AUC) were used to measure models’ performance.

On average, the individualised models present an accuracy of 74%, a Cohen’s Kappa Coefficient of 0.61 and an AUC of 0.83, representing a significant improvement in predictive performance when compared to similar studies and the “Converted” Predicted Mean Vote (PMVc) model.

While current literature on personal comfort models have focussed solely on younger adults and offices, this study explored a methodology for older people and their dwellings. Additionally, it introduced health perception as a predictor of thermal preference – a variable often overseen by architectural sciences and building engineering. The study also provided insights on the use of deep learning for future studies.

The heating, ventilation and air conditioning systems are responsible for a significant proportion of the energy consumption of the built environment, on which the occupant's pursuit of thermal comfort has a substantial impact. Regarding this concern, current software can assess and visualize the conditions. However; integration of existing technologies and real-time information could enhance the potential of the solution proposals. Therefore, the purpose of this research is to explore new possibilities of how to upgrade building information modeling (BIM) technology to be interactive; by using existing BIM data during the occupation phase. Moreover, the research discusses the potential of enhancing energy efficiency and comfort maximization together by using the existing BIM database and real-time information concomitantly.

The platform is developed by designing and testing via prototyping method thanks to Internet of things technologies. The algorithm of the prototype uses real-time indoor thermal information and real-time weather information together with user's body temperature. Moreover, the platform processes the thermal values with specific material information from the existing BIM file. The final prototype is tested by a case study model.

The outcome of the study, “Symbiotic Data Platform” is an occupant-operated tool, that has a hardware, software and unique Revit-Dynamo definition that implies to all BIM files.

The paper explains the development of “Symbiotic Data Platform”, which presents an interactive phase for BIM, as creating a possibility to use the existing BIM database and real-time values during the occupation phase, which is operated by the occupants of the building; without requiring any prior knowledge upon any of the BIM software or IoT technology.

The increasingly competitive hotel industry and emerging customer trends where guests are more discerning and want a personalized experience has led to the need of innovative applications. Personalization is much more important for hotels, especially now in the post-COVID lockdown era, as it challenges their business model. However, personalization is difficult to design and realize due to the variety of factors and requirements to be considered. Differences are both in the offer (hotels and their rooms) and demand (customers’ profiles and needs) in the accommodation domain. As for the implementation, critical issues are in hardware-dependent and vendor-specific Internet of Things devices which are difficult to program. Additionally, there is complexity in realizing applications that consider varying customer needs and context via existing personalization options. This paper aims to propose an ontological framework to enhance the capabilities of hotels in offering their accommodation and personalization options based on a guest’s characteristics, activities and needs.

A research approach combining both quantitative and qualitative methods was used to develop a hotel room personalization framework. The core of the framework is a hotel room ontology (HoROnt) that supports well-defined machine-readable descriptions of hotel rooms and guest profiles. Hotel guest profiles are modeled via logical rules into an inference engine exploiting reasoning functionalities used to recommend hotel room services and features.

Both the ontology and the inference engine module have been validated with promising results which demonstrate high accuracy. The framework leverages user characteristics, and dynamic contextual data to satisfy guests’ needs for personalized service provision. The semantic rules provide recommendations to both new and returning guests, thereby also addressing the cold start issue.

This paper extends HoROnt in two ways, to be able to add: instances of the concepts (room characteristics and services; guest profiles), i.e. to create a knowledge base, and logical rules into an inference engine, to model guests’ profiles and to be used to offer personalized hotel rooms. Thanks to the standards adopted to implement personalization, this framework can be integrated into existing reservation systems. It can also be adapted for any type of accommodation since it is broad-based and personalizes varying features and amenities in the rooms.

This paper aims to assess patient satisfaction with nursing care and related hospital services, and association between satisfaction and patient characteristics at the National Hospital of Sri Lanka (NHSL).

A systematically selected sample of 380 patients warded for three to 90 days in general surgical/medical units was interviewed on discharge. Data were collected using a satisfaction instrument previously developed and validated for the same setting, that contained 36 items under five sub‐scales. Multiple logistic regression analyses were used to identify factors associated with satisfaction in each sub‐scale.

The paper finds that the majority of respondents were males (61 percent), aged 35‐64 years (70 percent), educated to GCE (O/L) and above (61 percent), and previously hospitalized (66 percent). The proportion satisfied with “interpersonal care” was 81.8 percent, “efficiency and competency”, 89.7 percent, “comfort and environment”, 59.2 percent, “cleanliness and sanitation”, 48.7 percent, and “personalized and general information”, 37.4 percent. Males reported higher satisfaction (OR varied from 2.29‐2.87, p < 0.001) than females. Patients with GCE (A/L) were less satisfied with “comfort and environment” (OR=0.45, p < 0.05) and “cleanliness and sanitation” (OR=0.45, p < 0.05) compared with those educated below grade 5. Satisfaction with “comfort and environment” was lower among patients from medical (OR=0.51, p < 0.01) rather than from surgical units.

Quality can be improved by assuring comfort, cleanliness, sanitary facilities in wards, and provision of general and personalized instructions. Nursing staff should understand patient characteristics and their expectations when providing care.

This is the first study that described patient satisfaction with nursing care and related supportive services using a validated instrument at the NHSL. The study highlighted aspects of dissatisfaction and recognized patient characteristics that predict satisfaction.

This chapter will explore how the places of learning might look in next generation learning spaces where learners traverse physical and virtual spaces using personalised learning strategies. It will examine how learning spaces may represent ubiquitous spaces in which the learner undertakes some form of study or learning. Although there has been extensive examination of the design of spaces for knowledge generation (Keppell & Riddle, 2012, 2013; Souter, Riddle, Sellers, & Keppell, 2011) there has been little attention given to how learners customise and personalise their own physical and virtual learning spaces as they traverse their learning journey. Seven principles of learning space design will be adapted for use by the personalised learner. Personalised learning strategies encompass a range of knowledge, skills and attitudes that empower the learner to take charge of their learning within next generation learning spaces. Personalised learning consists of six broad concepts: digital citizenship, seamless learning, learner engagement, learning-oriented assessment, lifelong and life-wide learning and desire paths. Teachers will need to assist learners to design their own personalised learning spaces throughout formal education to encourage learners to be autonomous learners throughout their lifetime. In order to assist learners in developing personalised learning strategies we need to teach them about learning space literacies. We can’t assume learners have the knowledge, skills and attitudes to be able to identify and effectively utilise appropriate learning spaces that optimises engagement.

Introduction: Digitalization has become crucial in our daily lives. The rapid rise of new technologies and high interest levels of individuals enforces companies to invest in these technologies. Nowadays, as customers are willing to try new experiences, companies dynamically start to find new ways to develop their products and services. One of the most popular technologies used by companies to improve their services is the Internet of Things (IoT) technologies. Education, health, transportation, retail, and energy are some of the industries in which the IoT is frequently being used. As security concerns of individuals arose and willingness to remote control increases, innovative and technological projects with IoT applications are engaged in the construction and real estate sector.

Aim: The purpose of this chapter is to explore IoT applications within the new generation smart home systems. In this framework, the effect of IoT technologies on architectural structure of the smart home and operating systems as well as IoT and mobile-supported customer-focused applications and difficulties are analyzed.

Method: The study is designed as an exploratory study. The data are obtained from face-to-face interviews with companies operating on technology-based commercial and residential projects. Descriptive analysis method is used to analyze data. Sample selection was carried out by the judicial sampling technique.

Findings: The results showed that smart home systems offer several customer-oriented experiences to their users like personalized accessibility, comfort, time control, and energy savings. Wired and wireless communication protocols are included in the architecture of the system. Linux core software-based Android and iOS operating systems are used in order to enhance personal accessibility. However, some difficulties are noticed in the sector. Lack of information and internet infrastructure of companies that install electrical set-up are mentioned. Contractors, after sales service support, and customer-oriented applications are evaluated.

The changes brought by Industry 4.0 go beyond transformations in the industrial environment. The increasingly frequent digitization and robotization of activities is not only restricted to the industrial environment, but also to people's daily routine. People spend a large part of their time inside buildings, and maintaining adequate Indoor Environmental Quality (IEQ) is an essential factor for a healthy and productive environment. In this sense, the purpose of this study is to verify how the Internet of Things (IoT) is being used to improve the indoor environment, through sensors that instantly measure the conditions of the environment.

The aim of this paper is to verify, through a literature review, how IoT is being used for building control (for energy saving purposes) and to monitor IEQ conditions inside buildings, in order to provide a better environment for occupants, in terms of health and comfort. By combining keywords in databases, PRISMA method was used to select the articles for analysis, and 91 articles were analyzed.

The main findings in this research are: (1) the main purpose for applying IoT inside buildings is to reduce energy consumption; (2) there is an interest in developing low-cost sensoring devices with a learning approach; (3) Machine Learning methods are mainly used for energy saving purposes and to learn about occupants' behavior inside buildings, focusing on thermal comfort; (4) sensors in the IoT era are a requirement to help improve people's comfort and well-being.

Studies directly correlating IoT and IEQ are limited. This paper emphasises the link between them, through the presentation of recent methods to control the built environment.

The overall significance of tourism's role in the nation's holistic development is now a common phenomenon world over. That is why the Government of various countries are according top-most priority towards tourism development. The luxury tourism is that niche segment which is growing intense day by day and the craving of luxury traveller is uninfluenced by any economic turmoil or the crises. Tourism is now widely acknowledged as the strategic tool for economic diversification in the Sultanate of Oman. The Government is fully geared towards turning Oman into a prime luxury tourism destination by incorporating tourism in its vision 2040 strategy. The Government is actively tapping Oman's luxury tourism potential with improved tourism product development, increased projects funding, thoughtful marketing and brand promotion to reap benefits from tourism investments. Oman's unparalleled beauty, rich historic grandeur and authentic hospitality complement the desire of luxury travellers to seek unique quality and comfort, exclusivity and less ostentation. With the slogan ‘Beauty has an address’, the laudable effort of Oman has placed its tourism offering as an ideal upscale and luxury destination in the Middle East. The chapter explores the prospects of beautiful attractions and various services and facilities offered by Oman to qualify as a luxury destination. It also identifies the challenges faced by Oman in luxury tourism destination development.

Disabled people are often disadvantaged groups with varying special needs. Therefore, acquiring knowledge, improving information literacy, and participating in social activities becomes a survival and development problem for many disabled people. As an information dissemination centre, libraries should assume the responsibilities and obligations of providing knowledge aids for the disabled. This paper aims to introduce the China Digital Library for Visual Impairment website, which provides knowledge services for people with visual impairment, and to describe and discuss its background, its construction, initial achievements, and future prospects.

The paper adopts a case study analysis method, which takes the website of China Digital Library for Visual Impairment (CDLVI) as an example, introducing its resources development, service manners, developing mechanism.

Based on the experiences of China Digital Library for Visual Impairment (CDLVI), the NLC will construct a perfect reading service system and knowledge network for the disabled, which provides personalized and convenient services, and creates good learning conditions for the whole special group of people with disabilities.

The paper provides an introduction to the CDLVI website, which provides services for people with visual impairment.

The practice of facility management (FM) has been evolving with the rapid development of pervasive sensing technologies (PSTs) such as sensors, automatic identification (auto-ID), laser scanning and photogrammetry. Despite the proliferation of research on the use of PSTs for FM, a comprehensive review of such research is missing from the literature. This study aims to cover the knowledge void by examining the status quo and challenges of the selected PSTs with a focus on FM.

This paper reviewed 204 journal papers recounting cases of using PSTs for FM. The reviewed papers were extracted from Elsevier Scopus database using the advanced search.

Findings of this study revealed that PSTs and FM applications form a many-to-many mapping, i.e. one PST could facilitate many FM applications, and one application can also be supported by various PSTs. It is also found that energy modeling and management is the most referred purpose in FM to adopt PSTs, while space management, albeit important, received the least attention. Five challenges are identified, which include high investment on PSTs, data storage problem, absence of proper data exchange protocols for data interoperability, a lack of mature data processing methods for data utilization and privacy of users.

This paper paints a full picture of PSTs adoption for FM. It pinpoints the promising explorations for tackling the key challenges to future development.