Robots, Cyborgs, and Humans. A Model of Consumer Behavior in Services: A Study in the Healthcare Services Sector

La present tesi es basa en una investigació que proposa un ús futurista de l'robot i el cyborg com cirurgians oculars. El model desenvolupat investiga la intenció de l'consumidor per elegir cada cirurgià (és a dir: cirurgià robot, cirurgià cyborg o cirurgià humà). Les dades es van analitzar utilitzant la tècnica PLS-SEM. Els resultats de la investigació mostren que l'expectativa d'esforç, l'expectativa de rendiment, el risc percebut i la influència social van mostrar un impacte significatiu en la intenció d'utilitzar els serveis de l'robot cirurgià. Els resultats de el model per al cyborg cirurgià van confirmar l'impacte significatiu de l'expectativa d'esforç, l'excitació, l'expectativa de rendiment i la influència social en la intenció d'utilitzar els seus serveis. L'expectativa d'esforç i la influència social van confirmar un impacte significatiu en la intenció d'utilitzar els serveis de l'cirurgià humà. Els resultats mostren que en els tres models les variables influència social i expectativa d'esforç afecten significativament a la intenció d'utilitzar aquests serveis de cirurgia i que amb diferent intensitat entre els models per expectativa de esforç-. L'impacte de la influència social dóna una idea general sobre la naturalesa de el sector de la salut a Jordània, on una part de la societat presta més atenció a les recomanacions dels altres a l'elegir els seus cirurgians. A més, l'impacte de l'expectativa d'esforç contribueix a les expectatives per la simplicitat de l'servei dels pacients, en termes d'ús i interacció amb els cirurgians proposats. L'anàlisi multigrup va confirmar que les variables dels models estan afectant de la mateixa manera a l'comparar la intenció d'usar cyborgs i humans, i a l'comparar cyborgs i robots. No obstant això, sí que hi ha diferències significatives a l'comparar l'elecció entre robots i humans en l'impacte de l'expectativa d'esforç per utilitzar els serveis de cirurgia. D'altra banda, els participants van mostrar la seva preferència pel cirurgià humà sobre els cirurgians cyborg i robot, respectivament. Com a resultat, l'acceptació de les tecnologies de robot i cyborg per part de la societat podria donar una idea sobre la lluita esperada en el futur entre el desenvolupament de robots i la millora de les capacitats humanes.La presente tesis se basa en una investigación que propone un uso futurista del robot y el cyborg como cirujanos oculares. El modelo desarrollado investiga la intención del consumidor para elegir a cada cirujano (es decir: cirujano robot, cirujano cyborg o cirujano humano). Los datos se analizaron utilizando la técnica PLS-SEM. Los resultados de la investigación muestran que la expectativa de esfuerzo, la expectativa de rendimiento, el riesgo percibido y la influencia social mostraron un impacto significativo en la intención de utilizar los servicios del robot cirujano. Los resultados del modelo para el cyborg cirujano confirmaron el impacto significativo de la expectativa de esfuerzo, la excitación, la expectativa de rendimiento y la influencia social en la intención de usar sus servicios. La expectativa de esfuerzo y la influencia social confirmaron un impacto significativo en la intención de utilizar los servicios del cirujano humano. Los resultados muestran que en los tres modelos las variables influencia social y expectativa de esfuerzo afectan significativamente a la intención de usar esos servicios de cirugía –aunque con distinta intensidad entre los modelos para expectativa de esfuerzo-. El impacto de la influencia social da una idea general sobre la naturaleza del sector de la salud en Jordania, donde una parte de la sociedad presta más atención a las recomendaciones de los demás al elegir a sus cirujanos. Además, el impacto de la expectativa de esfuerzo contribuye a las expectativas por la simplicidad del servicio de los pacientes, en términos de uso e interacción con los cirujanos propuestos. El análisis multigrupo confirmó que las variables de los modelos están afectando de la misma manera al comparar la intención de usar cyborgs y humanos, y al comparar cyborgs y robots. Sin embargo, sí que existen diferencias significativas al comparar la elección entre robots y humanos en el impacto de la expectativa de esfuerzo para utilizar los servicios de cirugía. Por otro lado, los participantes mostraron su preferencia por el cirujano humano sobre los cirujanos cyborg y robot, respectivamente. Como resultado, la aceptación de las tecnologías de robot y cyborg por parte de la sociedad podría dar una idea sobre la lucha esperada en el futuro entre el desarrollo de robots y la mejora de las capacidades humanThe research proposes a futuristic use of robot and cyborg as surgeons in an eye surgery. Thereafter, the developed model has been applied to investigate the intention to use each surgeon (i.e. robot surgeon, cyborg surgeon, and human surgeon). The data was analyzed using the PLS-SEM technique. According to the research results, effort expectancy, performance expectancy, perceived risk, and social influence showed a significant impact on intention to use robot services. However, the results of the cyborg service model confirmed the significant impact of effort expectancy, arousal, performance expectancy, and social influence on the intention to use cyborg services. Furthermore, effort expectancy and social influence confirmed their significant impact on the intention to use human services. The results of the three models showed that the variables social influence and effort expectancy significantly affected the intention to use these surgical services, with a different intensity between the models for effort expectancy. The social influence impact gives a general idea about the nature of the healthcare sector in Jordan, where a part of society gives more attention to the recommendation from others while choosing their surgeons. Also, the effort expectancy impact contributes to patients' expectations of simplicity, in terms of use and interaction with the proposed surgeons. The multigroup analysis confirmed that the models' variables are affecting the intention to use cyborg and human service, and cyborg and robots in the same way. However, the differences were confirmed between robot and human cyborgs in terms of the impact of effort expectancy on the intention to use these services. On the other side, the participants showed their preference of the human surgeon over the cyborg and robot surgeons, respectively. As a result, the acceptance of the robot and cyborg technologies by a part of the society could give an idea about the expected struggle in the future among developing robots and enhancing human capabilities

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

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

Trusting Intentions Towards Robots in Healthcare: A Theoretical Framework

Within the next decade, robots (intelligent agents that are able to perform tasks normally requiring human intelligence) may become more popular when delivering healthcare services to patients. The use of robots in this way may be daunting for some members of the public, who may not understand this technology and deem it untrustworthy. Others may be excited to use and trust robots to support their healthcare needs. It is argued that (1) context plays an integral role in Information Systems (IS) research and (2) technology demonstrating anthropomorphic or system-like features impact the extent to which an individual trusts the technology. Yet, there is little research which integrates these two concepts within one study in healthcare. To address this gap, we develop a theoretical framework that considers trusting intentions towards robots based on the interaction of humans and robots within the contextual landscape of delivering healthcare services. This article presents a theory-based approach to developing effective trustworthy intelligent agents at the intersection of IS and Healthcare

Research investigations on the use or non-use of hearing aids in the smart cities

This study aims to explore factors influencing behavioral intention to adopt hearing aids among old adults in smart cities. It argues that trust is a moderator to influence the relationship between attitude, subjective norm and individual's behavioral intention in smart cities. This study tests hypotheses using a sample of 103 respondents from six smart cities in China. The results reveal that attitude is main factor influencing individual's behavioral intention. Subjective norm and trust are both not statistically significant at the 95% confidence interval in the model of multiple-regression. Interestingly, it finds that trust moderates the relationship between subjective norm and individual's behavioral intention. It means that the audiologists' advice can positively affect person's behavioral intention in smart cities. The findings imply that the Theory of Reasoned Action can be partially used to explain the person's behavioral intention in Chinese context. This study contributes to encourage old people to use smart hospitals to consult audiologists about hearing loss and hearing aids rehabilitation. Hence, hearing aids can improve their quality of life (QoL), which can be reflected by the improved standard of living, better access to treatments and also the positive sentiment about their life, including comfort, friendship, happiness and a closer connection to the society

Facilitators and Barriers to Adopting Robotic-Assisted Surgery: Contextualizing the Unified Theory of Acceptance and Use of Technology

Robotic-assisted surgical techniques are not yet well established among surgeon practice groups beyond a few surgical subspecialties. To help identify the facilitators and barriers to their adoption, this belief-elicitation study contextualized and supplemented constructs of the unified theory of acceptance and use of technology (UTAUT) in robotic-assisted surgery. Semi-structured individual interviews were conducted with 21 surgeons comprising two groups: users and nonusers. The main facilitators to adoption were Perceived Usefulness and Facilitating Conditions among both users and nonusers, followed by Attitude Toward Using Technology among users and Extrinsic Motivation among nonusers. The three main barriers to adoption for both users and nonusers were Perceived Ease of Use and Complexity, Perceived Usefulness, and Perceived Behavioral Control. This study's findings can assist surgeons, hospital and medical school administrators, and other policy makers on the proper adoption of robotic-assisted surgery and can guide future research on the development of theories and framing of hypotheses

Ethics 4.0: ethical dilemmas in healthcare mediated by social robots

This study examined people's moral judgments and trait perception toward a healthcare agent's response to a patient who refuses to take medication. A sample of 524 participants was randomly assigned to one of eight vignettes in which the type of healthcare agent (human vs. robot), the use of a health message framing (emphasizing health-losses for not taking vs. health-gains in taking the medication), and the ethical decision (respect the autonomy vs. beneficence/nonmaleficence) were manipulated to investigate their effects on moral judgments (acceptance and responsibility) and traits perception (warmth, competence, trustworthiness). The results indicated that moral acceptance was higher when the agents respected the patient's autonomy than when the agents prioritized beneficence/nonmaleficence. Moral responsibility and perceived warmth were higher for the human agent than for the robot, and the agent who respected the patient's autonomy was perceived as warmer, but less competent and trustworthy than the agent who decided for the patient's beneficence/nonmaleficence. Agents who prioritized beneficence/nonmaleficence and framed the health gains were also perceived as more trustworthy. Our findings contribute to the understanding of moral judgments in the healthcare domain mediated by both healthcare humans and artificial agents.info:eu-repo/semantics/publishedVersio

An Evaluation Schema for the Ethical Use of Autonomous Robotic Systems in Security Applications

We propose a multi-step evaluation schema designed to help procurement agencies and others to examine the ethical dimensions of autonomous systems to be applied in the security sector, including autonomous weapons systems

Socially assistive robots adoption

Mestrado em Gestão de Sistemas de InformaçãoCom o rápido envelhecimento da população mundial verifica-se um aumento do número de pessoas a requerer cuidados da parte de outrem. Contudo, o fenómeno mencionado traz, também, uma redução do número de pessoas disponíveis para prestar tais cuidados. Como tal, as sociedades são cada vez mais forçadas a lidar com esta discrepância que deve ser colmatada de modo a permitir aos idosos envelhecer com a dignidade que estes merecem. Uma forma de o fazer pode ser encontrada no campo das tecnologias de apoio, nomeadamente na figura dos Socially Assistive Robots (SAR): robots que apoiam os humanos através da interação social. O objetivo do presente estudo é investigar a propensão da população idosa portuguesa para a adoção destes robots. Para esse fim, primeiro, foi levada a cabo uma revisão da literatura onde foi recolhida informação relativa às formas em que os SAR podem apoiar os idosos, fatores que afetam a adoção destes robots e as principais preocupações que se afiguram num processo de adoção. De seguida, um estudo quantitativo baseado na aplicação de questionários à população portuguesa com 65 ou mais anos foi conduzido. De modo a estudar os fatores que influenciam a adoção dos robots, uma adaptação da segunda versão do modelo Unified Theory of Acceptance and Use of Technology foi criada e operacionalizada. Os resultados do estudo, não sendo tão abrangentes como inicialmente desejado, servem para complementar a base de conhecimento a ser constituída em torno deste tópico, iluminando e informando o trabalho daqueles que desenvolvem SAR.With the world population ageing rapidly comes an increase in the number of people requiring care from others. However, this phenomenon also brings a decrease in the number of people capable of providing such care. Societies are then increasingly left with a gap which must be bridged for the elderly to be afforded to age with the dignity which they deserve. One way to close said gap can be found in the field of assistive technologies, namely in the form of Socially Assistive Robots (SAR): robots designed to aid humans through social interaction. The aim of the current study is to investigate the propension of elderly Portuguese people for SAR adoption. Thus, firstly a review of literature focused on the ways in which SAR can aid the elderly, robot acceptance factors and common adoption concerns was put together. Secondly, a quantitative study based on the application of questionnaires to the Portuguese population aged 65 and over was conducted. In order to study the robot acceptance factors, an adaptation of the second version of Unified Theory of Acceptance and Use of Technology was created and deployed. The study results, while not as encompassing as initially desired, serve to complement the knowledge base being currently built around this topic, illuminating and informing the work of individuals focused on designing Socially Assistive Robots.info:eu-repo/semantics/publishedVersio

Influential Factors of Usage Behavior of Potential Hypertension Patients to Use Personal Health Assistant Service and Technology in a Private Hospital in Bangkok

Purpose: The study aims to investigate the determinants of behavioral intention toward using personal health assistant services and technology for potential hypertension patients in a private hospital in Bangkok. The developed conceptual framework contains perceived usefulness, perceived ease of use, attitude toward using, customer satisfaction, social influence, facilitating condition, behavioral intention, and usage behavior. Research design, data, and methodology: 500 participants involved in this study, applying purposive, stratified random, and convenience samplings. To assess content validity and reliability test, the index of item objective congruence (IOC) and Cronbach’s Alpha coefficient value (pilot testing) of 50 samples were conducted. The research applied statistical method, using confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: Perceived ease of use significantly influences attitudes toward using. Attitude toward use has a significant influence on customer satisfaction but has no significant influence on behavioral intention. Social influence and facilitating conditions significantly influence behavioral intention. Furthermore, behavioral intention significantly influences usage behavior. Nevertheless, perceived usefulness has no significant influence on attitude toward use. Conclusions: The leading enterprises in healthcare industry should push effort more than even to redefine health technology by moving to the value-based care model for patients, considering significant factors enhancing usage behavior