Security risks and user perception towards adopting Wearable Internet of Medical Things

The Wearable Internet of Medical Things (WIoMT) is a collective term for all wearable medical devices connected to the internet to facilitate the collection and sharing of health data such as blood pressure, heart rate, oxygen level, and more. Standard wearable devices include smartwatches and fitness bands. This evolving phenomenon due to the IoT has become prevalent in managing health and poses severe security and privacy risks to personal information. For better implementation, performance, adoption, and secured wearable medical devices, observing users’ perception is crucial. This study examined users’ perspectives of trust in the WIoMT while also exploring the associated security risks. Data analysed from 189 participants indicated a significant variance (R2 = 0.553) on intention to use WIoMT devices, which was determined by the significant predictors (95% Confidence Interval; p < 0.05) perceived usefulness, perceived ease of use, and perceived security and privacy. These were found to have important consequences, with WIoMT users intending to use the devices based on the trust factors of usefulness, easy to use, and security and privacy features. Further outcomes of the study identified how users’ security matters while adopting the WIoMT and provided implications for the healthcare industry to ensure regulated devices that secure confidential data

Privacy Attitudes among Early Adopters of Emerging Health Technologies.

IntroductionAdvances in health technology such as genome sequencing and wearable sensors now allow for the collection of highly granular personal health data from individuals. It is unclear how people think about privacy in the context of these emerging health technologies. An open question is whether early adopters of these advances conceptualize privacy in different ways than non-early adopters.PurposeThis study sought to understand privacy attitudes of early adopters of emerging health technologies.MethodsTranscripts from in-depth, semi-structured interviews with early adopters of genome sequencing and health devices and apps were analyzed with a focus on participant attitudes and perceptions of privacy. Themes were extracted using inductive content analysis.ResultsAlthough interviewees were willing to share personal data to support scientific advancements, they still expressed concerns, as well as uncertainty about who has access to their data, and for what purpose. In short, they were not dismissive of privacy risks. Key privacy-related findings are organized into four themes as follows: first, personal data privacy; second, control over personal information; third, concerns about discrimination; and fourth, contributing personal data to science.ConclusionEarly adopters of emerging health technologies appear to have more complex and nuanced conceptions of privacy than might be expected based on their adoption of personal health technologies and participation in open science. Early adopters also voiced uncertainty about the privacy implications of their decisions to use new technologies and share their data for research. Though not representative of the general public, studies of early adopters can provide important insights into evolving attitudes toward privacy in the context of emerging health technologies and personal health data research

The Role of Privacy Within the Realm of Healthcare Wearables\u27 Acceptance and Use

The flexibility and vitality of the Internet along with technological innovation have fueled an industry focused on the design of portable devices capable of supporting personal activities and wellbeing. These compute devices, known as wearables, are unique from other computers in that they are portable, specific in function, and worn or carried by the user. While there are definite benefits attributable to wearables, there are also notable risks, especially in the realm of security where personal information and/or activities are often accessible to third parties. In addition, protecting one’s private information is regularly an afterthought and thus lacking in maturity. These concerns are amplified in the realm of healthcare wearable devices. Users must weigh the benefits with the risks. This is known as the privacy calculus. Often, users will opt for the wearable device despite the heightened concern that their information may or will be disclosed. This is known as the privacy paradox. While past research focused on specific wearable technologies, such as activity trackers and smartphones, the paradox of disclosure despite concern for privacy has not been the primary focus, particularly in the realm of the manifestation of the paradox when it comes to the acceptance and use of healthcare wearable devices. Accordingly, the objective of the present research was to propose and evaluate a research model specifically oriented towards the role of privacy in the realm of healthcare-related wearables’ acceptance and use. The presented model is composed of sixteen constructs informed from multiple theories including multiple technology acceptance theories, the Protection Motivation Theory (PMT), the Health Belief Model (HBM), and multiple privacy calculus theories. Using a survey-oriented approach to collect data, relationships among privacy, health, and acceptance constructs were examined using SmartPLS with intentions to validate the posited hypotheses and determine the influence of the various independent variables on the intention to disclose and the intention to adopt healthcare-wearables. Of particular interest is the posited moderating effects of perceived health status on intention to disclose personal information. The research endeavor confirmed significant evidence of the cost/benefit decision process, aka the privacy calculus, that takes place when deciding whether or not to disclose personal information in the healthcare wearables space. Perceived privacy risk was negatively correlated to intention to disclose while hedonic motivation and performance expectancy were positively correlated to intention to disclose. Furthermore, significant evidence was discovered pertaining to the privacy paradox via the moderating role that perceived health status plays regarding the relationships between the constructs of perceived privacy risk and intention to disclose and hedonic motivation and intention to disclose. Intention to disclose was also found to have a significant positive influence on intention to adopt. Contributions include understanding and generalization in the healthcare wearables adoption knowledge space with a particular emphasis on the role of privacy, as well as practical implications for wearable manufacturers and users

Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology

© The Author(s), 2019. Technological advancement and personalized health information has led to an increase in people using and responding to wearable technology in the last decade. These changes are often perceived to be beneficial, providing greater information and insights about health for users, organizations and healthcare and government. However, to date, understanding the antecedents of its adoption is limited. Seeking to address this gap, this cross-sectional study examined what factors influence users’ adoption intention of healthcare wearable technology. We used self-administrated online survey to explore adoption intentions of healthcare wearable devices in 171 adults residing in Hong Kong. We analyzed the data by Partial least squares – structural equation modelling (PLS-SEM). The results reveal that perceived convenience and perceived irreplaceability are key predictors of perceived useful ness, which in turn strengthens users’ adoption intention. Additionally, the results also reveal that health belief is one of the key predictors of adoption intention. This paper contributes to the extant literature by providing understanding of how to strengthen users’ intention to adopt healthcare wearable technology. This includes the strengthening of perceived convenience and perceived irreplaceability to enhance the perceived usefulness, incorporating the extensive communication in the area of healthcare messages, which is useful in strengthening consumers’ adoption intention in healthcare wearable technology

The Internet of Things Will Thrive by 2025

This report is the latest research report in a sustained effort throughout 2014 by the Pew Research Center Internet Project to mark the 25th anniversary of the creation of the World Wide Web by Sir Tim Berners-LeeThis current report is an analysis of opinions about the likely expansion of the Internet of Things (sometimes called the Cloud of Things), a catchall phrase for the array of devices, appliances, vehicles, wearable material, and sensor-laden parts of the environment that connect to each other and feed data back and forth. It covers the over 1,600 responses that were offered specifically about our question about where the Internet of Things would stand by the year 2025. The report is the next in a series of eight Pew Research and Elon University analyses to be issued this year in which experts will share their expectations about the future of such things as privacy, cybersecurity, and net neutrality. It includes some of the best and most provocative of the predictions survey respondents made when specifically asked to share their views about the evolution of embedded and wearable computing and the Internet of Things

Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia

Cognitive function is an important end point of treatments in dementia clinical trials. Measuring cognitive function by standardized tests, however, is biased toward highly constrained environments (such as hospitals) in selected samples. Patient-powered real-world evidence using information and communication technology devices, including environmental and wearable sensors, may help to overcome these limitations. This position paper describes current and novel information and communication technology devices and algorithms to monitor behavior and function in people with prodromal and manifest stages of dementia continuously, and discusses clinical, technological, ethical, regulatory, and user-centered requirements for collecting real-world evidence in future randomized controlled trials. Challenges of data safety, quality, and privacy and regulatory requirements need to be addressed by future smart sensor technologies. When these requirements are satisfied, these technologies will provide access to truly user relevant outcomes and broader cohorts of participants than currently sampled in clinical trials

360 Quantified Self

Wearable devices with a wide range of sensors have contributed to the rise of the Quantified Self movement, where individuals log everything ranging from the number of steps they have taken, to their heart rate, to their sleeping patterns. Sensors do not, however, typically sense the social and ambient environment of the users, such as general life style attributes or information about their social network. This means that the users themselves, and the medical practitioners, privy to the wearable sensor data, only have a narrow view of the individual, limited mainly to certain aspects of their physical condition. In this paper we describe a number of use cases for how social media can be used to complement the check-up data and those from sensors to gain a more holistic view on individuals' health, a perspective we call the 360 Quantified Self. Health-related information can be obtained from sources as diverse as food photo sharing, location check-ins, or profile pictures. Additionally, information from a person's ego network can shed light on the social dimension of wellbeing which is widely acknowledged to be of utmost importance, even though they are currently rarely used for medical diagnosis. We articulate a long-term vision describing the desirable list of technical advances and variety of data to achieve an integrated system encompassing Electronic Health Records (EHR), data from wearable devices, alongside information derived from social media data.Comment: QCRI Technical Repor

Measuring Baseball’s Heartbeat: The Hidden Harms of Wearable Technology to Professional Ballplayers

Föreliggande examensarbete undersöker möjligheterna att effektivisera order- och lagerhanteringen av surfplattor hos företaget Företag A. Arbetet är avgränsat till företagets varuhus i Barkarby och till de två största märkena på marknaden just nu; Apple och Samsung. Detta är ett ämne som är relativt nytt eftersom det är en relativt ny marknad runt hela världen som har exploderat sedan Apples första lansering av surfplattan. Eftersom Företag A säljer samtliga märkens surfplattor vilka har helt olika efterfrågan, så kan deras order- och lagerhantering bli svårhanterlig. De uppställda frågeställningarna som ligger till grund för arbetet är: Vilken/vilka teoretiska modeller om orderhantering kan bäst tillämpas på fallet Företag A Barkarby? Vilka åtgärder skulle kunna genomföras för att effektivisera det nuvarande arbetssättet? Utifrån dessa frågor har en del modeller undersöks huruvida de passar in i både teori och praktik på Företag As sätt att hantera de mest sålda surfplattorna på sitt lager. Genom att studera deras arbetssätt när det gäller ordrar och förvaring på lagret kan sedan passande modeller appliceras. Fallstudien har till stor del genomförts genom att utifrån studielitteratur diskutera ämnet med personal från Företag A; både från huvudkontoret och från Barkarbyvaruhuset.Resultatet från uppsatsen är att det inte finns någon befintlig modell som passar in till 100% på Företag As arbetssätt, däremot finns det andra faktorer som kan ändras på för att få en mer kontinuerlig och överseende orderhantering. Marknaden för surfplattor är otroligt oförutsägbar och fluktuerar ofta utan något utstuderat mönster. Det enda som har visat sig vara säkert är åtgången av de två mest populära märkena när de släpper en ny modell.Marknaden för elektronikkedjor är otroligt konkurrensstyrd, inte bara i Sverige utan i hela Europa, vilket gör det än viktigare att ha rätt kvantitet på lager. Finns inte det kunderna vill ha så går de någon annanstans, eftersom priserna på surfplattor är densamma överallt.This paper examines the possibilities to make the handling of orders and storage for tablets more efficient for Företag As warehouse in Barkarby. The work is limited to the company’s warehouse in Barkarby and to the two largest manufacturers for tablets; Apple and Samsung. This is a relatively new subject because it is a relatively new market around the world, which has exploded since Apple released their first tablet. Because Företag A sells every manufacturer’s tablet, all with different demands, it makes the organisation of orders and storage quite difficult.The formulated questions which this paper is based on are: Which of the theoretical models about orderhandeling can best be applied on the case of Företag A Barkarby? What measures can be used to make the current way of working more efficient? With these questions as a starting point some models have been studied whether they fit in theory and practice in the way Företag A works when it comes to handling the most sold tablets in their storage. Through studying their way of working suiting models can be applied. The case study has mainly been implemented by after reading student literature discussing the problems with people who works at Företag A; both at the head quarters and in the warehouse in Barkarby.The result from this essay is that there isn’t any model which fits 100 % on Företag A’s way of work, but there are other factors that can be changed to get a more continuous and overseeing order process. The market for tablets is very unpredictable and fluctuates often without a worked out pattern. The only sure thing is the demand with the two most popular manufacturers when they release a new model.The market for electronic chains is extremely competition controlled, not only in Sweden but in all of Europe, which makes it even more important to have the right quantity in storage. If the product that the customers want isn’t available they simply go somewhere else, since the prices are the same everywhere