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With the arrival of various assistive technologies (ATs) such as artificial intelligence, augmented reality, virtual reality and others, we can enhance support in a classroom with special educational needs students. The role of teachers in the new era will be switched to finding ways to develop the full potential of all students, rather than traditionally classified dull tasks, e.g. filling out forms, physical observation of children's behaviour etc. This chapter focuses on elaborating how AT can help to improve the efficiency of special education in the future, and how schools should restructure to accommodate this disruptive change to ease teaching in a classroom with a diverging group of students.

This study aims to analyze driver risks in the driving environment. A complete analysis of context aware assistive driving techniques. Context awareness in assistive driving by probabilistic modeling techniques. Advanced techniques using Spatio-temporal techniques, computer vision and deep learning techniques.

Autonomous vehicles have been aimed to increase driver safety by introducing vehicle control from the driver to Advanced Driver Assistance Systems (ADAS). The core objective of these systems is to cut down on road accidents by helping the user in various ways. Early anticipation of a particular action would give a prior benefit to the driver to successfully handle the dangers on the road. In this paper, the advancements that have taken place in the use of multi-modal machine learning for assistive driving systems are surveyed. The aim is to help elucidate the recent progress and techniques in the field while also identifying the scope for further research and improvement. The authors take an overview of context-aware driver assistance systems that alert drivers in case of maneuvers by taking advantage of multi-modal human processing to better safety and drivability.

There has been a huge improvement and investment in ADAS being a key concept for road safety. In such applications, data is processed and information is extracted from multiple data sources, thus requiring training of machine learning algorithms in a multi-modal style. The domain is fast gaining traction owing to its applications across multiple disciplines with crucial gains.

The research is focused on deep learning and computer vision-based techniques to generate a context for assistive driving and it would definitely adopt by the ADAS manufacturers.

As context-aware assistive driving would work in real-time and it would save the lives of many drivers, pedestrians.

This paper provides an understanding of context-aware deep learning frameworks for assistive driving. The research is mainly focused on deep learning and computer vision-based techniques to generate a context for assistive driving. It incorporates the latest state-of-the-art techniques using suitable driving context and the driver is alerted. Many automobile manufacturing companies and researchers would refer to this study for their enhancements.

Despite continuing workforce challenges over the last decade, the social care system is considered a key enabler in keeping older people out of hospital. In response to the workforce challenges, White Paper was released, which acknowledged the opportunities afforded by digital technology to assist older people ageing at home, often supported by informal caregivers. Given the policy emphasis on digital-enabled care, the most appropriate methods for evaluating its impact on social care outcomes have yet to be determined. The purpose this study was to review the current literature using a systematic approach to understand the methodological limitations to inform more robust evaluations in their use in future research.

This scoping review used a systematic approach adopting the framework of Arksey and O’Malley to examine studies examining the adoption of digital technologies to assist in older people’s ability to age in place.

The 21 relevant studies identified on digital technology to assist ageing-in-place are evolving. To date, it has focused on the efficacy and usability of the digital technologies themselves rather than investigating the impact of such technologies on re/enablement outcomes for older people. To rebalance this emphasis, there needs to be more research investigating the factors that enhance useability of digital technologies by older people and exploiting narrative data gained from qualitative research as they can provide valuable insights.

To the best of the authors’ knowledge, this is the first scoping review to consider qualitative methodological approaches for exploring ageing in place.

Persons with disabilities (PwD) are generally less likely to be employed than the general population. The paper aims to investigate whether access to assistive technologies (AT) impacts labour force participation in the disabled population.

The study utilises the nationally representative survey on disability in India conducted in 2018 through multi-stage sampling by the Ministry of Statistics and Programme Implementation (MOSPI), Government of India. The instrumental variable (IV) approach has been employed to infer causality between AT and labour market participation.

The study found that the labour force participation rate (LFPR) in India amongst the disabled population was 29% in the age group of 15–65 years in 2017–2018, as compared to 52% in the general population. Around two-thirds of the PwD respondents who were advised to acquire aid appliances acquired them, implying limited access to AT. The probability of LFPR in disabled population increases by 26.6% with access to AT particularly in urban areas.

Persistent issues such as lack of adequate amenities, poor literacy and a lack of vocational skills need to be addressed to improve labour market outcomes for the disabled population in rural areas.

Despite its role in promoting distributive justice and inclusive development, research on equity gaps in access to AT and its impact on labour market outcomes is scant. This is the first paper that provides empirical evidence on the impact of access to AT on LFPR in the context of low- and middle-income countries.

Loneliness’ impact on health and wellbeing has emerged as a public health issue in several countries. Young people are increasingly understood as a ‘risk group’ and intervention target for loneliness-reduction. This research paper aims to present a discourse analysis of policies and political speech about young people and loneliness.

Using discourse analysis inspired by Carol Bacchi’s “What is the Problem Represented to Be” (WPR) approach, this cross-cultural analysis studies loneliness policy in the United Kingdom (UK) and Norway. In doing so, the authors ask: What is the problem of loneliness among young people represented to be in UK and Norwegian welfare policy?

The findings indicate paradoxical problematizations of the role technology plays among lonely young people, who, in this context, are divided in two categories: able normative and disabled youth. We reveal fundamental differences in beliefs about the impact of technology on these groups, and corresponding differences in the proposed solutions. The problem of young peoples’ loneliness is represented as uncertainty about potential harms of digital connectedness and reduced face-to-face interactions. In contrast, the problem of loneliness among disabled youth is represented as impeded access to social realms, with technology serving a benign role as equalizer.

Little research has examined this new policy field. The article contributes to filling this gap and encourages policymakers to consider how political discourses on loneliness may lead them to overlook digital interventions young people could find beneficial.

Assistive technology (AT) is like the eyes of visually impaired users (VIUs) and plays a vital role in making them independent in accessing a wide range of library resources and services. It is a revolutionary way to improve the academic performance of VIUs and amalgamate them into mainstream library services. This paper aims to explore the familiarity and understanding of AT among VIUs in accessing library resources and services of three special institutes of Haryana state, India.

The study used a survey method, and data were collected using an online questionnaire. The questionnaire consisted of closed-ended questions focused on participants’ familiarity, understanding and key barriers VIUs face in accessing existing AT facilities. Scope of the study is to include three special institutions’ libraries serving to VIUs in Haryana (India). Purposive sampling technique was adopted for data collection. The data are tabulated and analyzed with descriptive statistics methods using Statistical Package for Social Sciences (SPSS) software version 20.0, and the results are presented in tables, diagrams and graphs.

The study found that most of the VIUs are highly familiar and reported an expert understanding of Daisy player and digital voice recorder, whereas refreshable Braille display, Braille printer/embosser and scanning and reading devices are least familiar with and reported poor understanding. In the software category, it is noted that VIUs are more familiar with screen reading and speech synthesizer software than other software, and participants confirmed a good understanding of the said software.

The literature review revealed that the majority of library staff in the institutions being investigated had limited knowledge about the availability of the most suitable AT tools. So, the study will be beneficial for them to select the most popular AT tools for their libraries to amalgamate VIUs. The study also highlights some barriers VIUs face in using the existing AT facility of their respective libraries that may be helpful for librarians to understand the root cause of low utilization of available AT tools and how to address this problem effectively. The study can also help policymakers in formulating AT policies for academic libraries. Findings will also help to develop a cost-effective AT workstation suiting the needs of VIUs.

This study will provide an idea to library professionals about which AT hardware and software are more popular among VIUs and useful for developing/improving cutting-edge AT facilities in their libraries to amalgamate VIUs in the mainstream of the library.