The Moderating Effect of Demographic Characteristics on Home Healthcare Robots Adoption: An Empirical Study

The home healthcare initiative aims to reduce healthcare cost, improve post-hospitalization healthcare quality and increase patient independency. Information technologies such as home healthcare robots are expected to play a major role in this effort. There have been some preliminary findings on the socio-technical determinants of robot adoption in home healthcare. However, there is a lack of understanding of other factors that moderate the effects of these determinants. To this end, this research aims to investigate demographic characteristics as possible moderators for robot adoption based on the UTAUT model. By analyzing the data collected from a survey, this study empirically demonstrates the moderating effects of gender, age and experiences on the adoption of home healthcare robots. In addition, the findings of this research lead to the development of a decision tree that can guide a cost- effective robot design. The paper concludes with the theoretical and practical implications of this research

An Empirical Study of Home Healthcare Robots Adoption Using the UTUAT Model

Home healthcare initiatives are aimed to reduce readmission costs, transportation costs, and hospital medical errors, and to improve post hospitalization healthcare quality, and enhance patient home independency. Today, it is almost unimaginable to consider this initiative without information technology. Home healthcare robots are one type of the emerging technologies that hold promise for making clinical information available at the right place and right time. Several robots have been developed to facilitate home healthcare such as remote presence robots (e.g., RP2) and Paro. Most previous research focus on technical and implementation issues of home healthcare robots, there is a need to understand the factors that influence their adoption. This research aims to fill this knowledge gap by applying the UTAUT model. The model was tested using survey questionnaire. The empirical results confirm that performance expectancy, social influence, and facilitating condition directly affect usage intention of home healthcare robots, while effort expectancy indirectly affects usage intention through performance expectancy. Several practical and theoretical implications are also discussed

Examining the Performance of Older and Younger Adults When Interacting with a Mobile Solution Supporting Levels of Dexterity

The purpose of this research is to develop and evaluate a mobile game to support the needs of adults aiming to strengthen their perceptual and dexterity skills. The game itself is an advanced version of a Whack-A-Mole style game, in which the user is required to select visual targets, as quickly and accurately as possible. In this version of the game, the user is able to modify the speed, target size, and availability of distracters. In this paper, the performance between older and younger users has been compared. Older adults had spent more time and missed more compared to the youth adults, highlighting the challenges with manual dexterity faced by older adults. Therefore, different ways were examined in which features of the game can be designed to better meet the needs of older adults. The paper has significant implications for elderly patients, physicians, technology designers and service providers

Smart Home Healthcare Settings: A Qualitative Study of the Domain Boundary

Addressing the health problems of the 21st century will require individuals to use a new set of medical and public health resources that extend beyond historic and traditional medical devices and are built on current and smart information technologies. Much of these new medical tools was originally designed by device manufacturers to be used only in clinical settings and by trained healthcare professionals but recently are finding their way into the home nevertheless. Their migration to the home poses many challenges to both caregivers and care recipients. In order to facilitate their migration to the home, it is very important to first understand the domain boundary, its components and their interactions. Little research discusses the context of smart home healthcare and its surrounding entities to date. This paper aims to fill the knowledge gap by developing a framework of smart home healthcare context. To this end, we conducted semi-structured interviews with patients and health professionals served for or by home healthcare agencies on the east coast in the United States. We analyzed the content applying thematic approach. The findings revealed four major components of the framework including person, tasks, technologies, and environments. The findings also revealed us to define the interactions between these components. The findings have significant implications for smart home designers and manufacturers, and service providers

Early Diagnosis of Alzheimer’s Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches

Neuroimaging refers to the techniques that provide efficient information about the neural structure of the human brain, which is utilized for diagnosis, treatment, and scientific research. The problem of classifying neuroimages is one of the most important steps that are needed by medical staff to diagnose their patients early by investigating the indicators of different neuroimaging types. Early diagnosis of Alzheimer’s disease is of great importance in preventing the deterioration of the patient’s situation. In this research, a novel approach was devised based on a digital subtracted angiogram scan that provides sufficient features of a new biomarker cerebral blood flow. The used dataset was acquired from the database of K.A.U.H hospital and contains digital subtracted angiograms of participants who were diagnosed with Alzheimer’s disease, besides samples of normal controls. Since each scan included multiple frames for the left and right ICA’s, pre-processing steps were applied to make the dataset prepared for the next stages of feature extraction and classification. The multiple frames of scans transformed from real space into DCT space and averaged to remove noises. Then, the averaged image was transformed back to the real space, and both sides filtered with Meijering and concatenated in a single image. The proposed model extracts the features using different pre-trained models: InceptionV3 and DenseNet201. Then, the PCA method was utilized to select the features with 0.99 explained variance ratio, where the combination of selected features from both pre-trained models is fed into machine learning classifiers. Overall, the obtained experimental results are at least as good as other state-of-the-art approaches in the literature and more efficient according to the recent medical standards with a 99.14% level of accuracy, considering the difference in dataset samples and the used cerebral blood flow biomarker

Assessment of personal care and medical robots from older adults' perspective

Demographic reports indicate that population of older adults is growing significantly over the world and in particular in developed nations. Consequently, there are a noticeable number of demands for certain services such as health-care systems and assistive medical robots and devices. In today's world, different types of robots play substantial roles specifically in medical sector to facilitate human life, especially older adults. Assistive medical robots and devices are created in various designs to fulfill specific needs of older adults. Though medical robots are utilized widely by senior citizens, it is dramatic to find out into what extent assistive robots satisfy their needs and expectations. This paper reviews various assessments of assistive medical robots from older adults' perspectives with the purpose of identifying senior citizen's needs, expectations, and preferences. On the other hand, these kinds of assessments inform robot designers, developers, and programmers to come up with robots fulfilling elderly's needs while improving their life quality

Ethical framework of assistive devices: review and reflection

The population of ageing is growing significantly over the world, and there is an emerging demand for better healthcare services and more care centres. Innovations of Information and Communication Technology has resulted in development of various types of assistive robots to fulfil elderly’s needs and independency, whilst carrying out daily routine tasks. This makes it vital to have a clear understanding of elderly’s needs and expectations from assistive robots. This paper addresses current ethical issues to understand elderly’s prime needs. Also, we consider other general ethics with the purpose of applying these theories to form a proper ethics framework. In the ethics framework, the ethical concerns of senior citizens will be prioritized to satisfy elderly’s needs and also to diminish related expenses to healthcare services

Attitudes towards care robots among Finnish home care personnel : a comparison of two approaches

Study's rationale The significance of care robotics has been highlighted in recent years. Aims and objective The article examines the adoption of care robots in home care settings, and in particular Finnish home care personnel's attitudes towards robots. The study compares the importance of the Negative Attitudes towards Robots Scale advanced by Nomura and specific positive attitudes related to the usefulness of care robots for different tasks in the home care. Methodological design A cross-sectional study conducted by questionnaire. The research data were gathered from a survey of Finnish home care personnel (n = 200). Research methods Exploratory factor analysis, Pearson's correlation coefficient and linear regression analysis. Measures The Negative Attitudes towards Robots Scale (NARS), by Nomura, with a specific behavioural intention scale based on Ajzen's theory of planned behaviour, and a measure of positive attitudes towards the usefulness of care robots for different tasks in home care and the promotion of independent living of older persons. Results The study shows that NARS helps to explain psychological resistance related to the introduction of care robots, although the scale is susceptible to cultural differences. Care personnel's behavioural intentions related to the introduction of robot applications are influenced also by the perception of the usefulness of care robots. Study limitations The study is based only on a Finnish sample, and the response rate of the study was relatively small (18.2%), which limits the generalisability of the results. Conclusions The study shows that the examination of home care personnel's attitudes towards robots is not justified to focus only on one aspect, but a better explanation is achieved by combining the perspectives of societal attitudes, attitudes related to psychological reactions and the practical care and promotion of the independent living of older people