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Article
Publication date: 3 August 2015

Ki Joon Kim and Dong-Hee Shin

The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB)…

Abstract

Purpose

The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs.

Design/methodology/approach

An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM.

Findings

The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively.

Originality/value

Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.

Details

Internet Research, vol. 25 no. 4
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 8 June 2021

Peter Dannenmann

The purpose of this paper is to show the current state of methods for information visualization on wearable devices and demonstrate how these devices and methods can be…

Abstract

Purpose

The purpose of this paper is to show the current state of methods for information visualization on wearable devices and demonstrate how these devices and methods can be used to support the work of aircraft maintenance engineers. This paper develops a path to make aircraft maintenance tasks more efficient and safe by providing relevant and important information to maintenance personnel matching the task they are currently working on.

Design/methodology/approach

The current researchers elaborate prerequisites that wearable computing devices have to meet to use them in aircraft maintenance. Based on these prerequisites the researchers evaluate such existing devices and visualization techniques with regard to how they can be used to visualize information in aircraft maintenance processes.

Findings

This paper elaborates a roadmap how wearable devices can be applied in future aircraft maintenance scenarios. It also shows that augmented reality (AR) is a technology that shows great potential to support aircraft maintenance staff. The current researchers develop a scenario, how AR applications on wearable devices support such tasks.

Practical implications

The implementation of the maintenance scenario that is developed in this paper will vastly reduce the possibilities of mistakes by maintenance personnel. This leads to more efficient maintenance processes and further increases the safety of aviation in general.

Originality/value

Although AR today already is used in fields of application like gaming, an application of this technology in a safety-critical environment is not known to the author. This paper provides a step towards extending the application domains of this technology to aircraft maintenance.

Details

Aircraft Engineering and Aerospace Technology, vol. 93 no. 8
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 1 April 2021

Kashmira Ganji and Sashikala Parimi

COVID-19 was indeed a global epidemic that revolutionized the way of life, especially health-care services. The way health care will be delivered will undergo a dramatic…

Abstract

Purpose

COVID-19 was indeed a global epidemic that revolutionized the way of life, especially health-care services. The way health care will be delivered will undergo a dramatic change in the future. The aim is to analyse the increasing usage of health care systems along with digital technology and IoT especially during pandemic.

Design Methodology Approach

This research paper deals with users’ perception and their recommendation status of IoT-based smart health-care monitoring devices based on their perception, experience and level of importance to enhance the quality of life. An effective artificial neural networking (ANN)-based predictive model is designed to classify the user’s perception of usage of IoT-based smart health-care monitoring wearables based on their experience and knowledge.

Findings

The model developed has 96.7% accuracy. Among the various predictors chosen as inputs for the model, the findings indicate that self-comfort and trusted data from the device are of high priority. The present study focused only on some common factors derived from previous studies.

Research Limitations Implications

Although the performance of the proposed system was noticed to be good, the size of the sample is also limited to a few responses. Implications for future research and practices are discussed.

Originality Value

This is a novel study that aims to develop an ANN model on analyzing the user’s perception of IoT-based smart health-care wearables with the effect of COVID-19 pandemic. This paper elaborates on the ongoing efforts to restart the health-care services for survivability in the new normal situations.

Details

Journal of Science and Technology Policy Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4620

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Article
Publication date: 19 August 2020

Mir Salahuddin and Young-A Lee

The purpose of this study was to identify the major quality features of wearable technology embedded products that have the greatest impact on consumer satisfaction using…

Abstract

Purpose

The purpose of this study was to identify the major quality features of wearable technology embedded products that have the greatest impact on consumer satisfaction using the Kano model, an organized approach to specify consumer requirements and expectation through a preference classification technique.

Design/methodology/approach

Using a quantitative research method, an online survey was conducted with a convenience sample of US consumers aged between 19 years old and over. A total of otal 471 useable data were obtained and used for the data analysis.

Findings

This study identified that the 11 quality features of wearables belong to one-dimensional quality category among the five Kano categories, although the impact of each quality feature's performance on consumer satisfaction varies. The results also showed that the performance level of durability, long battery life, usability, product safety, comfortability and reasonable price has the greatest impact on consumer satisfaction of wearables.

Research limitations/implications

This study has implications for future research by integrating the Kano model with other design and product development related theoretical models when designing, developing and evaluating various wearable products.

Originality/value

This study quantified the key quality features of wearables using the Kano model, which can be a great measurement tool for future researchers to adopt in their studies. The findings of this study help designers, developers and producers of wearables to prioritize the quality features during the product design, development and manufacturing process.

Details

International Journal of Clothing Science and Technology, vol. 33 no. 1
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 5 May 2015

Martin Kesselman

– Conference report by the editor.

Abstract

Purpose

Conference report by the editor.

Design/methodology/approach

Conference report by the editor.

Findings

Conference report by the editor.

Originality/value

New material.

Details

Library Hi Tech News, vol. 32 no. 3
Type: Research Article
ISSN: 0741-9058

Keywords

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Article
Publication date: 26 April 2018

Vasja Roblek, Maja Mesko, Vlado Dimovski and Judita Peterlin

This paper aims to present how contemporary students are self-organizing using smart technologies (ST) and the future social implications of ST. The research model is…

Abstract

Purpose

This paper aims to present how contemporary students are self-organizing using smart technologies (ST) and the future social implications of ST. The research model is based on the concepts of the soft system methodology, social systems thinking, innovative smart systems, and cybernetic and knowledge management.

Design/methodology/approach

The study contains elements of exploratory and descriptive case studies. Narrative analysis and interpretation of the collected data have been carried out.

Findings

Students mostly use ST to save time when studying and in their free time. Students are surprised by how ST developed and are cautious when imagining how the technology will change and affect their lives. They are concerned regarding several ethical dilemmas of using it, such as privacy and spending time with their loved ones and friends. Students perceive their self-organization in the future as very dependent on the availability of ST in institutional settings (e.g. education and business process) as well as their personal lives. Students discuss their present perceptions about what the future will be and note that social system will be more dynamic in terms of socialization, and loss of personal contact with their friends and family is seen as the main threat.

Research limitations/implications

The research is qualitative, and the questionnaire was carried out among business students at the Faculty of Economics, University of Ljubljana, Slovenia.

Practical implications

The paper offers an understanding of the usage of ST among business students. This study provides a road map of a few possible ways for usage of ST among students. The topic is also relevant for human resource managers, technology developers and marketing strategists for their better understanding of the behaviour of young people using ST in professional or private environments.

Social implications

The findings can be useful for professors in identifying different learning methods that are useful for their students.

Originality/value

The authors offer conceptualizations of ST within the social innovation framework and provide a contemporary understanding young people’s ST usage.

Content available
Article
Publication date: 17 October 2019

Sherali Zeadally, Farhan Siddiqui, Zubair Baig and Ahmed Ibrahim

The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous…

Abstract

Purpose

The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access. The paper also explores how internet of things (IoT) and big data technologies can be combined with smart health to provide better healthcare solutions.

Design/methodology/approach

The authors reviewed the literature to identify the challenges which have slowed down the deployment and adoption of smart health.

Findings

The authors discussed how IoT and big data technologies can be integrated with smart health to address some of the challenges to improve health-care availability, access and costs.

Originality/value

The results of this paper will help health-care designers, professionals and researchers design better health-care information systems.

Details

PSU Research Review, vol. 4 no. 2
Type: Research Article
ISSN: 2399-1747

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Book part
Publication date: 20 January 2020

Gavin Brown and Richard Whittle

Abstract

Details

Algorithms, Blockchain & Cryptocurrency: Implications for the Future of the Workplace
Type: Book
ISBN: 978-1-83867-495-3

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Article
Publication date: 9 February 2021

Himmet Karadal and A. Mohammed Abubakar

The authors’ understanding of the Internet of things (IoT) skills and needs satisfaction for IoT devices and generational cohorts' variations remains limited as…

Abstract

Purpose

The authors’ understanding of the Internet of things (IoT) skills and needs satisfaction for IoT devices and generational cohorts' variations remains limited as commentaries are often oversimplified and generalized. This research fills a gap in the literature by highlighting the dynamics between the IoT skills and needs satisfaction for IoT devices and seeks to expound on the variations among generational cohorts using the self-determination theory.

Design/methodology/approach

Survey data were obtained from 1,245 residents and IoT device users in Aksaray, Turkey. The obtained data were analyzed with variance-based structural equation modeling and the analysis of variance technique.

Findings

The results demonstrate that IoT skills determine the needs satisfaction for IoT devices. Generation Xers, Generation Yers and Generation Zers are distinct cohorts with respect to the IoT skills and needs satisfaction for IoT devices.

Originality/value

Collectively, this study provides empirical evidence that informs the debate about the contributions of IoT skills and generational cohorts on needs satisfaction for IoT devices. The implications and several avenues for future theory-building research are discussed.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0144

Details

Online Information Review, vol. 45 no. 5
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 16 October 2018

Guan Yuan, Zhaohui Wang, Fanrong Meng, Qiuyan Yan and Shixiong Xia

Currently, ubiquitous smartphones embedded with various sensors provide a convenient way to collect raw sequence data. These data bridges the gap between human activity…

Abstract

Purpose

Currently, ubiquitous smartphones embedded with various sensors provide a convenient way to collect raw sequence data. These data bridges the gap between human activity and multiple sensors. Human activity recognition has been widely used in quite a lot of aspects in our daily life, such as medical security, personal safety, living assistance and so on.

Design/methodology/approach

To provide an overview, the authors survey and summarize some important technologies and involved key issues of human activity recognition, including activity categorization, feature engineering as well as typical algorithms presented in recent years. In this paper, the authors first introduce the character of embedded sensors and dsiscuss their features, as well as survey some data labeling strategies to get ground truth label. Then, following the process of human activity recognition, the authors discuss the methods and techniques of raw data preprocessing and feature extraction, and summarize some popular algorithms used in model training and activity recognizing. Third, they introduce some interesting application scenarios of human activity recognition and provide some available data sets as ground truth data to validate proposed algorithms.

Findings

The authors summarize their viewpoints on human activity recognition, discuss the main challenges and point out some potential research directions.

Originality/value

It is hoped that this work will serve as the steppingstone for those interested in advancing human activity recognition.

Details

Sensor Review, vol. 39 no. 2
Type: Research Article
ISSN: 0260-2288

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