User Acceptance Study Research Articles

Incorporating personality traits for the study of user acceptance of electric micromobility-sharing services

Electric micromobility-sharing services (EMS) have emerged as a promising mobility tool for tackling transportation problems. Understanding the drivers of user acceptance of EMS is essential for proper deployment. However, there is no consensus in the literature on the effects of psychological factors on EMS adoption, and little research has considered personality traits to capture individual differences. To fill this research gap, we administered a survey through a Dutch panel that integrated the Big Five personality traits into a user acceptance framework and applied structural equation modeling (SEM) to investigate user acceptance of EMS. The quantitative analysis reveals that three UTAUT factors (social influence, performance expectancy, and hedonic motivation) have strong positive direct effects on user acceptance. Among the Big Five personality traits, openness and extraversion have significant but weaker total effects, while other personality traits (conscientiousness, agreeableness, and neuroticism) have no significant effects. It is also found that young people and residents of large cities have a higher intention to adopt EMS, while the majority who are highly satisfied with the status quo transportation modes have a lower intention to use EMS for short trips. The analysis results offer crucial insights into crafting tailored strategies to deploy EMS.

Virtual flight deck crew assistance utilizing artificial intelligence methods to interpret NOTAMs: a user acceptance study

Virtual flight deck crew assistance utilizing artificial intelligence methods to interpret NOTAMs: a user acceptance study

The role of trust and distrust in technology usage: An in-depth investigation of traffic information apps usage for mandatory and non-mandatory trips

Following the rapid pace of technological advancement and the continuous introduction of new technologies, the study of user acceptance has gained considerable attention. While previous studies have highlighted the role of trust in technology acceptance and adoption, the significance of distrust has received little attention and is often treated as the other end of the trust scale. This study aims to examine the separate roles of both trust and distrust in technology adoption by investigating the relationship between the usage of traffic information apps (TIAs) and the trust and distrust associated with them. To achieve this, a revealed preference questionnaire is designed, and data from a representative sample of 1028 Sydney residents is collected. The validity of treating trust and distrust as two separate constructs is empirically examined by contrasting a single-construct model versus a double-construct model. Both models are integrated choice and latent variable models with structural and choice components. The findings demonstrate that the model with trust and distrust as two distinct latent constructs outperforms the model with one latent construct. The results of the double latent construct model indicate that trust has a significant positive effect on using TIAs for both work and leisure trips, while distrust has a significant negative effect only for work trips. These findings underscore the importance of effectively managing distrust in technology, particularly in situations related to health and safety where individuals’ usage of the technology in these circumstances can save lives.

Crowdfunding User Acceptance: A Systematic Literature Review

Despite the popularity of crowdfunding throughout the world, there is a limited amount of academic research conducted to study user acceptance. This review aims to reflect the current state of crowdfunding research, especially related to its user acceptance. To achieve the objective, the study searched and reviewed current empirical knowledge on crowdfunding user acceptance in the Scopus and Web of Science databases from 2015-2023. An organized methodology for conducting a literature review was used throughout the entire process. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) article selection flowchart stages were utilized to implement the article selection criteria. The study found 137 articles in the identification stage from Scopus and Web of Science databases out of which 107 articles were screened and found 68 articles for testing eligibility and 41 articles for analysis. 96 articles were removed from the analysis in total. The study adopted Keyword co-occurrence analysis as one of the bibliometric analyses performed with VOS viewer. The findings reveal that crowdfunding user acceptance research can be mainly categorized under the themes of “crowdfunding user acceptance through technology acceptance”, “behavioral aspect of crowdfunding users” and “external factors influencing user acceptance”. Each of these clusters indicates different approaches to studying crowdfunding user acceptance. Further studies can be focused on finding different combined approaches to study crowdfunding user acceptance with different theories.

Entrepreneurs’ Intention to Use Crowdfunding: Towards a Conceptual Framework of Technology Acceptance and Entrepreneurial Intention

Despite the popularity of crowdfunding throughout the World, there is a limited amount of academic research conducted to study user acceptance of crowdfunding, especially among entrepreneurs. This paper aims to propose a conceptual model for assessing entrepreneurs’ intention to use crowdfunding. To achieve the objective, the study searched and reviewed current literature on crowdfunding user acceptance in the Emerald and Lens.org databases. Initially, 128 articles were found, and the review was conducted with 37 articles selected according to the inclusion and exclusion criteria. Accordingly, this study proposes a conceptual model with the integration of the Unified Theory of Acceptance and Use of Technology (UTAUT) with the entrepreneurial intention model. The integration describes three main factors that affect user acceptance, such as technological factors, environmental factors, and individual factors. This paper tried to create a linkage with variables proposed in the model by providing propositions based on the literature. Future studies are needed to test the propositions in field research.

"I didn't Notice that You Were Watching Me": Exploring a User Acceptance Study to Conduct Cultural Domain Analysis Online During the COVID-19 Pandemic.

This article explores the implementation process of a User Acceptance Study to evaluate the feasibility of conducting cultural domain analysis (CDA) online during the COVID-19 pandemic. We conducted 19 cultural domain analysis sessions involving three techniques: free listing, pile sorts, and rank ordering. A diverse set of participants were recruited to help assess requirements and needs that researching online involves. We found that conducting CDA online is a feasible research method that offers benefits such as generating large amounts of data, making participants feel comfortable joining sessions from a safe space, providing anonymity, reducing research costs such as time and travel, and eliciting large numbers of responses. We also identified several factors for consideration when implementing CDA online and provide recommendations for improvement, including the aesthetics of the digital software employed, user accessibility and digital literacy, participants' environments, Internet connection, and online-specific ethical issues.

A Web-Based Audio Computer-Assisted Self-interview Application With Illustrated Pictures to Administer a Hepatitis B Survey Among a Myanmar-Born Community in Perth, Australia: Development and User Acceptance Study.

Self-administered paper or electronic surveys can create accessibility issues for people with language barriers and limited literacy, whereas face-to-face interviews can create privacy issues and give rise to reporting biases, particularly in the context of sensitive subject matters. An audio computer-assisted self-interview (ACASI) offers an alternative mode of survey administration, and its use has been tested against other survey modes to determine whether the presence of a background narration helps overcome literacy and privacy issues. There are still gaps with the ACASI survey administration because audio narration alone does not assist respondents with limited literacy in choosing response options. To overcome literacy issues, a few studies have used illustrated pictures for a limited number of response options. This study aimed to illustrate all the questions and response options in an ACASI application. This research is part of a larger study comparing different modes of survey administration (ACASI, face-to-face interviews, and self-administered paper surveys) to collect data on hepatitis B knowledge, attitudes, and practices among the Myanmar-born community in Perth, Australia. This study describes the 2-phase process of developing a web-based ACASI application using illustrated pictures. The first phase was the preparation of the ACASI elements, such as questionnaire, pictures, brief descriptions of response options, and audio files. Each element was pretested on 20 participants from the target population. The second phase involved synchronizing all the elements into the web-based ACASI application and adapting the application features, in particular, autoplay audio and illustrated pictures. The preprototype survey application was tested for user acceptance on 5 participants from the target population, resulting in minor adjustments to the display and arrangement of response options. After a 12-month development process, the prototype ACASI application with illustrated pictures was fully functional for electronic survey administration and secure data storage and export. Pretesting each element separately was a useful approach because it saved time to reprogram the application at a later stage. Future studies should also consider the participatory development of pictures and visual design of user interfaces. This picture-assisted ACASI survey administration mode can be further developed and used to collect sensitive information from populations that are usually marginalized because of literacy and language barriers.

A Serious Game for Patients With Eating Disorders (Maze Out): Pilot User Experience and Acceptance Study.

Eating disorders (EDs) are severe mental disorders associated with notable impairments in the quality of life. Despite the severity of the disorders and extensive research in the field, effective treatment for EDs is lacking. Digital interventions are gaining an evidence-based position in mental health, providing new perspectives in psychiatric treatment. Maze Out is a serious game coproduced by patients and therapists that focuses on supporting patients with EDs. The aim of this study was to investigate the experiences of engaging in and acceptability of Maze Out among patients with EDs and therapists. This study is a qualitative pilot study involving data collected through focus groups and individual interviews and user analytics collected through the game. The participants were recruited from the Odense Mental Health Service of the Region of Southern Denmark. Qualitative interviews analyzed by thematical analysis and interpreted by interpretative phenomenological analysis were used to evaluate the acceptance and experience of Maze Out among patients and therapists. The mobile health evidence reporting and assessment checklist was used to describe the content, context, and technical features of the game in a standardized manner for mobile health apps. The participants found Maze Out to be engaging, easy to use, and a good platform for reflecting on their disorder. They primarily used Maze Out as a conversational tool with their close relationships, giving them insights into the experiences and daily life struggles of someone with EDs. Maze Out seems to be a promising tool supplementing the current ED treatment. Further research should focus on evaluating the effectiveness of the game and its potential to support patients with different types of EDs.

A Study on Factors Influencing the Use of Unmanned Driving Technology Based on TAM Model

Unmanned driving technology, as an emerging digital, intelligent technology that is future-oriented, provides practical solutions to a number of transport issues. Compared with traditional manual driving, unmanned driving technology features higher entertainment and conformity, as well as higher risks and new types of cost. To study user acceptance of unmanned driving technology, the paper makes an analysis of statistical significance and regression, with a number of factors as independent variables, including perceived usefulness and perceived ease-of-use (as required by TAM), and perceived enjoyment, perceived risk, perceived cost, and conformity (extension of TAM), and usage intention as dependent variables. The results show the acceptance degree of different factors of driverless technology and provide suggestions for the development of more acceptable driverless functions by users.

Should Expert Surgeon Guidance Be Given Remotely? Comment on “User Experience in Remote Surgical Consultation: Survey Study of User Acceptance and Satisfaction in Real-Time Use of a Telemedicine Service”

Should Expert Surgeon Guidance Be Given Remotely? Comment on “User Experience in Remote Surgical Consultation: Survey Study of User Acceptance and Satisfaction in Real-Time Use of a Telemedicine Service”

An Integrated Study of User Acceptance and Resistance on Voice Commerce

Virtual assistants are becoming significant in the area of voice commerce. Voice commerce creates an environment where orders and payments can be done through voice recognition, increasing its accessibility in comparison to other existing commercial transaction methods. Thus, the field is expected to grow into a promising industry. However, the full bloom of voice commerce depends on user acceptance, as well as technological improvement. This study develops a conceptual framework to describe factors influencing user acceptance to voice commerce, which are analyzed with the structural equation model by combining the technology acceptance model (TAM) and the model of innovation resistance (MIR). With accuracy, social presence, and interactivity of a virtual assistant, along with user attributes such as user innovativeness and experience, as variables, a survey of 151 Koreans in their 20s and 30s is conducted. Moreover, the impact of three factors, relative advantage, perceived ease of use, and perceived risk, on innovation acceptance and resistance is analyzed to find key variables that affect the resistance to and acceptance of voice commerce. These findings provide notable implications to companies currently using voice commerce platforms and guidance to an emerging commercial trading system.

An Exploration of Trust as an Antecedent of Unified Payment Interface Usage

Introduction of UPI has revolutionized the Indian banking system and since then dynamics of payment ecosystem has noted a major transformation. UPI has proved to be a boon in the pandemic situation by facilitating contactless and remote transactions. Thus it is crucial to study user acceptance of payments using UPI and factors influencing its usage. The present paper extended UTAUT3 (Unified Theory of Acceptance and Use of Technology) with an additional construct called 'trust'. Studies on behavioral intention are not rare. But behavioral intention towards UPI usage is not yet explored. What makes this study unique is its attempt to use both SEM and Neural Network to analyze data. It will guide future researchers to pursue technology adoption studies using this multi-method technique. The novelty also resides in the fact that trust, the newly added construct, has proved to be the most important antecedent of behavioral intention towards UPI usage.

Integrative adoption model for personal health records: A structural equation modeling approach

The adoption of a personal health record (PHR) is a crucial element in quality healthcare, allowing patients to permit the storage of their health information to create a more inclusive, reliable health record. However, the embracing of PHRs has been slow compared to other healthcare-related systems due to the poor design and behavioral aspects. The objective of this research is to study user acceptance factors to identify a better design for PHR systems and to promote healthy behaviors that support individuals' performance. The study proposes an integrative adoption model for PHRs that integrates theoretical factors from the health belief model with the user acceptance determinants from the technology acceptance model and innovation diffusion theory. Using structural equation modeling with the R “Lavaan” package, the study tested the hypothesis relationships of the constructs. The data were captured from individuals through Amazon’s MTurk. Among the nine relationships studied, the research revealed six significant relationships that inform the final PHR integrative adoption model. The research provides great insights into the factors that influence individuals’ PHR adoption. The results introduce a novel integration model to the current body of knowledge. This model will contribute to a better theoretical understanding of the actual use of healthcare-related technologies and bring greater estimates of patient engagement in healthy activities.

User Experience in Remote Surgical Consultation: Survey Study of User Acceptance and Satisfaction in Real-Time Use of a Telemedicine Service.

BackgroundTeleguidance, a promising telemedicine service for intraoperative surgical consultation, was planned to scale up at a major academic hospital in partnership with 5 other hospitals. If the service was adopted and used over time, it was expected to provide educational benefits and improve clinical outcomes during endoscopic retrograde cholangiopancreatography (ERCP), which is a technically advanced procedure for biliary and pancreatic disease. However, it is known that seemingly successful innovations can play out differently in new settings, which might cause variability in clinical outcomes. In addition, few telemedicine services survive long enough to deliver system-level outcomes, the causes of which are not well understood.ObjectiveWe were interested in factors related to usability and user experience of the telemedicine service, which might affect adoption. Therefore, we investigated perceptions and responses to the use and anticipated use of a system. Technology acceptance, a construct referring to how users perceive a technology’s usefulness, is commonly considered to indicate whether a new technology will actually be used in a real-life setting. Satisfaction measures were used to investigate whether user expectations and needs have been met through the use of technology. In this study, we asked surgeons to rate the perceived usefulness of teleguidance, and their satisfaction with the telemedicine service in direct conjunction with real-time use during clinical procedures.MethodsWe designed domain-specific measures for perceived usefulness and satisfaction, based on performance and outcome measures for the clinical procedure. Surgeons were asked to rate their user experience with the telemedicine service in direct conjunction with real-time use during clinical procedures.ResultsIn total, 142 remote intraoperative consultations were conducted during ERCP procedures at 5 hospitals. The demand for teleguidance was more pronounced in cases with higher complexity. Operating surgeons rated teleguidance to have contributed to performance and outcomes to a moderate or large extent in 111 of 140 (79.3%) cases. Specific examples were that teleguidance was rated as having contributed to intervention success and avoiding a repeated ERCP in 23 cases, avoiding 3 PTC, and 11 referrals, and in 11 cases, combinations of these outcomes. Preprocedure beliefs about the usefulness of teleguidance were generally lower than postprocedure satisfaction ratings. The usefulness of teleguidance was mainly experienced through practical advice from the consulting specialist (119/140, 85%) and support with assessment and decision-making (122/140, 87%).ConclusionsUsers’ satisfaction with teleguidance surpassed their initial expectations, mainly through contribution to nontechnical aspects of performance, and through help with general assessment. Teleguidance shows the potential to improve performance and outcomes during ERCP. However, it takes hands-on experience for practitioners to understand how the new telemedicine service contributes to performance and outcomes.

Assessing Acceptance Level of a Hybrid Clinical Decision Support Systems.

We present a user acceptance study of a clinical decision support system (CDSS) for Type 2 Diabetes Mellitus (T2DM) risk prediction. We focus on how a combination of data-driven and rule-based models influence the efficiency and acceptance by doctors. To evaluate the perceived usefulness, we randomly generated CDSS output in three different settings: Data-driven (DD) model output; DD model with a presence of known risk scale (FINDRISK); DD model with presence of risk scale and explanation of DD model. For each case, a physician was asked to answer 3 questions: if a doctor agrees with the result, if a doctor understands it, if the result is useful for the practice. We employed a Lankton's model to evaluate the user acceptance of the clinical decision support system. Our analysis has proved that without the presence of scales, a physician trust CDSS blindly. From the answers, we can conclude that interpretability plays an important role in accepting a CDSS.

A Vaginal Inlay for Reduction of Stress Urinary Incontinence: Outcome of a Randomized Clinical Trial and Four User Acceptance Studies.

A multicenter, randomized, controlled clinical trial and four postmarket user acceptance investigations were carried out to document the safety, performance, and user acceptance of Efemia Bladder Support, a novel vaginal inlay for the temporary reduction of stress urinary incontinence (SUI). The clinical investigation enrolled 97 women diagnosed with SUI, randomized 3 : 1 to either treatment or standard care (control). The primary endpoint was reduction of urine leakage, measured as change in pad weight baseline week compared with treatment week. Secondary endpoints were treatment success, calculated as the percentage of subjects with >70% reduction in pad weight, reduction in incontinence episodes, and quality of life (QoL). 75 women (77%) completed the clinical investigation. No serious adverse events occurred. The treatment group reached a 55% (p < 0.001) mean reduction of total leakage compared to the control arm. A subanalysis, involving only leakage during provocation testing (coughing and jumping), showed a 67% (p < 0.001) mean reduction of leakage. No significant effect on QoL could be observed. 51% of the women answered “yes” to the question if they would use the device to reduce SUI. The user acceptance of the device was further investigated in four postmarket studies, using an improved device design with a slimmer centerpiece and a thinner handle, while keeping the effect achieving parts of the device unchanged. An average of 74% of the 102 participants in the postmarket studies reported that they were likely to continue using Efemia. The highest user satisfaction was seen in the two studies evaluating the use of Efemia during exercise, where 83% and 88% of the women were likely to continue using Efemia. It can be concluded that Efemia is a safe, well-tolerated, and effective alternative for reducing SUI, both in everyday life and during physical exercise.

An investigation of the consumer’s trusting mechanism in emerging healthcare technology

PurposeThe purpose of this research is to investigate how the consumer’s trusting mechanism influences their behavioral adoption intention in the context of genetic testing.Design/methodology/approachBased on the technology acceptance theory and trust formation theory, the research posits and develops a comprehensive trust model by integrating trust-related factors that correlate to the consumer’s trusting beliefs and trusting intention. Survey data with 525 respondents allow to test and validate the model.FindingsThe tested model shows that technology institutional trust base, end-user’s cognitive trust base and social influence are significant determinants of trusting beliefs. The findings also reveal that mediation effects of performance expectancy and perceived risks exist in the relationship between trusting beliefs and trusting intention.Originality/valueThe foreseeable positive impact and rapid market growth of emerging healthcare technologies necessitate the strong need to study user acceptance. However, there is a lack of research on how consumers trust and their adoption intention of such innovations. Prior empirical evidence from different contexts and perspectives also show contradictory findings. This research extends the existing technology acceptance literature to a healthcare context, provides an improved generalized understanding of the consumer’s trusting mechanism in emerging biotechnology and discusses practical insights for regulatory authorities, healthcare institutes and medical professionals.

Touch-dynamics based Behavioural Biometrics on Mobile Devices – A Review from a Usability and Performance Perspective

Over the past few years, there has been an exponential increase in the percentage of people owning and using a smart phone. These devices have sensor-rich touchscreens that can capture sensitive biometric features such as keystroke typing and finger-swiping patterns. Touch-dynamics based behavioural biometrics is a time-based assessment of how a user performs a particular touch task on a mobile device. Several performance-focused surveys already exist. In this article, building upon the existing reviews, we have examined studies on touch-dynamics based behavioural biometrics based on usability and its impact on authentication performance. We also emphasize the need for shifting the focus on usability during performance evaluations by presenting a consolidated list of usability and ergonomic-based factors that influence user interaction and cause performance variations. In this article, we report and review the usability evaluations: user acceptance studies and performance-based studies influencing the user interaction process on three specific touch-dynamics based modalities—signature, keystroke, and swipe. With regards to performance, we present a comparative analysis of error rates and accuracy of various research works undertaken. Additionally, we present a consolidated list of public datasets and discuss evolving vulnerabilities of touch-dynamics based behavioural biometrics, their adopted attack models, and their feasibility. Finally, we present our assessment of this domain's existing unresolved problems that could pave the way for future research.

An immersive educational tool for dental implant placement: A study on user acceptance

BackgroundTools for training and education of dental students can improve their ability to perform technical procedures such as dental implant placement. Shortage of training can negatively affect dental implantologists’ performance during intraoperative procedures, resulting in lack of surgical precision and, consequently, inadequate implant placement, which may lead to unsuccessful implant supported restorations or other complications. ObjectiveWe designed and developed IMMPLANT a virtual reality educational tool to assist implant placement learning, which allows users to freely manipulate 3D dental models (e.g., a simulated patient's mandible and implant) with their dominant hand while operating a touchscreen device to assist 3D manipulation. MethodsThe proposed virtual reality tool combines an immersive head-mounted display, a small hand tracking device and a smartphone that are all connected to a laptop. The operator's dominant hand is tracked to quickly and coarsely manipulate either the 3D dental model or the virtual implant, while the non-dominant hand holds a smartphone converted into a controller to assist button activation and a greater input precision for 3D implant positioning and inclination. We evaluated IMMPLANT's usability and acceptance during training sessions with 16 dental professionals. ResultsThe conducted user acceptance study revealed that IMMPLANT constitutes a versatile, portable, and complementary tool to assist implant placement learning, as it promotes immersive visualization and spatial manipulation of 3D dental anatomy. ConclusionsIMMPLANT is a promising virtual reality tool to assist student learning and 3D dental visualization for implant placement education. IMMPLANT may also be easily incorporated into training programs for dental students.

I Spy with My Little Eye: A Paediatric Visual Preferences Survey of 3D Printed Tablets.

3D printing (3DP) in the pharmaceutical field is a disruptive technology that allows the preparation of personalised medicines at the point of dispensing. The paediatric population presents a variety of pharmaceutical formulation challenges such as dose flexibility, patient compliance, taste masking and the fear or difficulty to swallow tablets, all factors that could be overcome using the adaptable nature of 3DP. User acceptability studies of 3D printed formulations have been previously carried out in adults; however, feedback from children themselves is essential in establishing the quality target product profile towards the development of age-appropriate medicines. The aim of this study was to investigate the preference of children for different 3D printed tablets (Printlets™) as an important precursor to patient acceptability studies. Four different 3DP technologies; digital light processing (DLP), selective laser sintering (SLS), semi-solid extrusion (SSE) and fused deposition modeling (FDM) were used to prepare placebo printlets with similar physical attributes including size and shape. A single-site, two-part survey was completed with participants aged 4–11 years to determine their preference and opinions based on visual inspection of the printlets. A total of 368 participants completed an individual open questionnaire to visually select the best and worst printlet, and 310 participants completed further non-compulsory open questions to elaborate on their choices. Overall, the DLP printlets were the most visually appealing to the children (61.7%) followed by the SLS printlets (21.2%), and with both the FDM (5.4%) and SSE (11.7%) printlets receiving the lowest scores. However, after being informed that the SSE printlets were chewable, the majority of participants changed their selection and favoured this printlet, despite their original choice, in line with children’s preference towards chewable dosage forms. Participant age and sex displayed no significant differences in printlet selection. Printlet descriptions were grouped into four distinct categories; appearance, perceived taste, texture and familiarity, and were found to be equally important when creating a quality target product profile for paediatric 3D printed formulations. This study is the first to investigate children’s perceptions of printlets, and the findings aim to provide guidance for further development of paediatric-appropriate medicines using different 3DP technologies.