Robot acceptance model for care (RAM-care): A principled approach to the intention to use care robots

Turja, Tuuli; Aaltonen, Iina; Taipale, Sakari; Oksanen, Atte

doi:10.1016/j.im.2019.103220

Cited by 83 publications

(88 citation statements)

References 52 publications

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“…Moreover, following previous studies, healthcare professionals still express fundamental concerns about the implementation of AI-based tools in care services [11]. There is a need for researchers to more efficiently understand the current challenges related to AI technologies and analyze the urgent needs of health systems to design AI-enabled tools that are able to address them.…”

Section: Introductionmentioning

confidence: 99%

“…Using value-based consideration to predict behavioral intention in this study acknowledges the distinctive nature of the healthcare sector compared to other less sensitive service work [11]. Extending the previously suggested AI acceptance model by including a valuebased approach to the intention to use AI devices, we propose a model for health care to be used in academic and practical studies with an aim to statistically model acceptance of AI-based devices among potential users.…”

Section: Introductionmentioning

confidence: 99%

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Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives

Esmaeilzadeh

2020

BMC Med Inform Decis Mak

229

144

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Background Several studies highlight the effects of artificial intelligence (AI) systems on healthcare delivery. AI-based tools may improve prognosis, diagnostics, and care planning. It is believed that AI will be an integral part of healthcare services in the near future and will be incorporated into several aspects of clinical care. Thus, many technology companies and governmental projects have invested in producing AI-based clinical tools and medical applications. Patients can be one of the most important beneficiaries and users of AI-based applications whose perceptions may affect the widespread use of AI-based tools. Patients should be ensured that they will not be harmed by AI-based devices, and instead, they will be benefited by using AI technology for healthcare purposes. Although AI can enhance healthcare outcomes, possible dimensions of concerns and risks should be addressed before its integration with routine clinical care. Methods We develop a model mainly based on value perceptions due to the specificity of the healthcare field. This study aims at examining the perceived benefits and risks of AI medical devices with clinical decision support (CDS) features from consumers’ perspectives. We use an online survey to collect data from 307 individuals in the United States. Results The proposed model identifies the sources of motivation and pressure for patients in the development of AI-based devices. The results show that technological, ethical (trust factors), and regulatory concerns significantly contribute to the perceived risks of using AI applications in healthcare. Of the three categories, technological concerns (i.e., performance and communication feature) are found to be the most significant predictors of risk beliefs. Conclusions This study sheds more light on factors affecting perceived risks and proposes some recommendations on how to practically reduce these concerns. The findings of this study provide implications for research and practice in the area of AI-based CDS. Regulatory agencies, in cooperation with healthcare institutions, should establish normative standard and evaluation guidelines for the implementation and use of AI in healthcare. Regular audits and ongoing monitoring and reporting systems can be used to continuously evaluate the safety, quality, transparency, and ethical factors of AI-based services.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives

Esmaeilzadeh

2020

BMC Med Inform Decis Mak

229

144

View full text Add to dashboard Cite

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“…The conceptual model as shown in Figure 1. Previous study found that the demographic factors (such as age, gender and IT competency) were found to have important influence on an individual's intention of usage of technology [11]. Moreover, previous researchers debate over the discrimination on the basis of gender, education, age, Its competency, social status, and ethnic minorities.…”

Section: Conceptual Modelmentioning

confidence: 99%

Measuring prevailing practices of healthcare professional on electronic health record through the lens of Iraq

et al. 2021

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Paper based approach to clinical documentation such as handwritten notes among health care providers are cause of errors in medical field. Therefore, health record system needs to be replaced with electronic health record (EHR). Many health professionals in developing countries specifically in Iraq refuse to use the systems implemented for their benefits due to many reasons. Thus, the use of electronic services is important for successful electronic health implementations. Therefore, this study is intended to identify the main factors affecting the intention of use of the electronic health record in Iraq. Health professional staff who work in the main hospital in Dhi-Qar is chosen because this province is the first local province that implemented many electronic projects. The present study examined use of user acceptance of technology, based on the technology acceptance model (TAM). Moreover, the quantitative method approach for data collection using survey from staff who work in the main hospital in Dhi-Qar. Data was analyzed using Structural Equation Modeling using AMOS. The results indicated significant relationship between Ease of Use, Usefulness, Usefulness, Attitude, and Intention of use of EHR. These finding have implementation for decision makers in Iraq government to improve future implementation of e-health services.

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“…In most studies on HRI, users are considered as a homogeneous group that makes their decisions rationally and, consequently, without motivation or processability problems ( [25]). However, for a long time, the literature on consumer behaviour has pointed to the opposite.…”

Section: The Importance Of User's Attitude and Reasoning System In Social Roboticsmentioning

confidence: 99%

Discovering SOCIABLE: Using a Conceptual Model to Evaluate the Legibility and Effectiveness of Backchannel Cues in an Entertainment Scenario

Andriella

Huertas-García

Forgas-Coll

et al. 2020

2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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Robots are expected to become part of everyday life. However, while there have been important breakthroughs during the recent decades in terms of technological advances, the ability of robots to interact with humans intuitively and effectively is still an open challenge.In this paper, we aim to evaluate how humans interpret and leverage backchannel cues exhibited by a robot which interacts with them in an entertainment context. To do so, a conceptual model was designed to investigate the legibility and the effectiveness of a designed social cue, called SOCial ImmediAcy BackchanneL cuE (SOCIABLE), on participant's performance. In addition, user's attitude and cognitive capability were integrated into the model as an estimator of participants' motivation and ability to process the cue. In working toward such a goal, we conducted a two-day long user study (N=114) at an international event with untrained participants who were not aware of the social cue the robot was able to provide. The results showed that participants were able to perceive the social signal generated from SOCIABLE and thus, they benefited from it. Our findings provide some important insights for the design of effective and instantaneous backchannel cues and the methodology for evaluating them in social robots.

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Robot acceptance model for care (RAM-care): A principled approach to the intention to use care robots

Cited by 83 publications

References 52 publications

Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives

Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives

Measuring prevailing practices of healthcare professional on electronic health record through the lens of Iraq

Discovering SOCIABLE: Using a Conceptual Model to Evaluate the Legibility and Effectiveness of Backchannel Cues in an Entertainment Scenario

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