UX Analysis based on TR and UTAUT of Sports Smart Wearable Devices

Seol, Su Hwang; Ko, Dae Sun; Yeo, In Sung

doi:10.3837/tiis.2017.08.024

Cited by 7 publications

(10 citation statements)

References 21 publications

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“…It was found that the teacher's attitude influences the four variables of the UTAUT model. These results coincide with those found by Elliott et al (2012), Seol et al (2017), Lin et al (2007), Hallikainen & Laukkanen (2016) and Larasiti et al (2017) regarding the impact that personality characteristics have on the beliefs of ease of use and usefulness of different technologies. Similarly, the results are congruent with those found by Seol et al (2017) within the framework of the UTAUT theory.…”

Section: Discussionsupporting

confidence: 91%

“…These results coincide with those found by Elliott et al (2012), Seol et al (2017), Lin et al (2007), Hallikainen & Laukkanen (2016) and Larasiti et al (2017) regarding the impact that personality characteristics have on the beliefs of ease of use and usefulness of different technologies. Similarly, the results are congruent with those found by Seol et al (2017) within the framework of the UTAUT theory. The current study showed that both extrinsic facilitation characteristics and personal attitudes towards technology predict the use of ICTs in the classroom by teachers.…”

Section: Discussionsupporting

confidence: 91%

“…The dimensions of the TRI model, optimism, innovativeness, discomfort, and insecurity have also been found as antecedents of the constructs associated with the UTAUT theory. This is the case of Seol et al (2017) who state that there are positive and significant relationships between the dimensions of TRI and the basic components of the UTAUT theory in the context of the use of portable smart devices for sports. Through an analysis of structural equations, the authors validated all these relationships and found that the intention to use these devices explains their use.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

See 2 more Smart Citations

Innovativeness and Factors that Affect the Information Technology Adoption in the Classroom by Primary Teachers in Chile

López-Pérez¹,

Ramírez-Correa²,

Grandón³

2019

Informatics in Education

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This research examines the factors that influence the intention to use information technology in the classroom by primary school teachers based on the Unified Theory of Acceptance and Use of Technology and their technological predisposition. In particular, the relationship between teachers' innovativeness and their beliefs associated with the use of technology in the classroom was analyzed. To this end, 212 teachers from three provinces of Chile were surveyed. Data were analyzed using partial least squares statistical technique. Results indicate that performance expectancy, social influence, and facilitating conditions influence the intention to use information technology in the classroom. It was found that the intention to use construct is a determinant of the use of technology, which validates the robustness of the model in a context of primary education. In addition, it was validated that teachers' innovativeness determines their beliefs about the use of information technology in the classroom.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 91%

Section: Research Model and Hypothesesmentioning

confidence: 99%

See 1 more Smart Citation

Innovativeness and Factors that Affect the Information Technology Adoption in the Classroom by Primary Teachers in Chile

López-Pérez¹,

Ramírez-Correa²,

Grandón³

2019

Informatics in Education

View full text Add to dashboard Cite

show abstract

“…Furthermore, the results suggest no convergence in the literature analyzed in the present meta-analysis. Many estimations depict the absence of consensuses in the literature, such as some positive correlations (Seol et al , 2017; Moudud-Ul-Huq et al , 2021), some coefficients close to zero (Niknejad et al , 2020; Talukder et al , 2019) and other negative (Ndifon et al , 2020; Khakurel et al , 2017). Thus, the literature does not raise a clear trend toward FC > BI relation.…”

Section: Discussionmentioning

confidence: 99%

“…Some literature registered that BI is not a satisfactory predictor to UB of new technology (Lim et al , 2011; Salgado et al , 2020). However, it is more frequent that the UB of an m-health technology is strongly affected by the BI (Bhattacherjee and Hikmet, 2008; Lulin et al , 2020; Seol et al , 2017; Tavares and Oliveira, 2017). The most significant values for this relationship among the considered literature were found in studies on the acceptance of nurses for an electronic system for hospital management ( r = 0.750) (Lulin et al , 2020) and on the acceptance of wearables for monitoring physical exercise ( r = 0.581) (Seol et al , 2017).…”

Section: Discussionmentioning

confidence: 99%

A meta-analysis of a comprehensive m-health technology acceptance

Calegari

R.D.

Fettermann

2023

IJLSS

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Purpose The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies. Design/methodology/approach A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model. Findings The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature. Originality/value The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

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The Factors of the Psychotherapists' Attitude Towards Technology: Combining Attitudes Towards Technology and Technology Readiness Models

Koch,

Graczykowska,

Szumiał

et al. 2024

Clin Psychology and Psychoth

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ObjectivesThe study aimed to explore psychotherapists' attitudes towards new technologies. Understanding the factors influencing their acceptance of technologies is essential to improving the accessibility, quality, and effectiveness of psychotherapeutic care in the digital age. Based on previous research from different fields (e.g., e‐government and mobile applications), we integrated the Unified Theory of Acceptance and Use of Technology (UTAUT‐T) with the Technology Readiness Index (TRI). UTAUT‐T focuses on one's perception of technology, while TRI emphasizes individual characteristics. Therefore, we regard psychotherapists' attitudes towards digital solutions by analysing factors related to technology and users (psychotherapists).MethodsWe conducted an online questionnaire study involving 391 psychotherapists aged 25–66 (M = 40.90; SD = 7.79). Participants completed self‐report questionnaires: UTAUT‐T, TRI 2.0, and a survey measuring technology usage at work.ResultsThe model explained 30.2% of the variance in actual technology usage and 57.6% in behavioural intention. Both technology‐related and therapist‐related factors affect technology use. Some factors directly influence use behaviour (optimism, ease of use, convenience), while others are mediated by behavioural intention (pressure from others, professional support, therapy quality expectations).ConclusionsTechnology‐related and therapist‐related factors influence psychotherapists' use of technology. The study revealed that optimism plays a crucial role in addition to behavioural intention. This insight is vital for implementing new technologies in mental health services.

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UX Analysis based on TR and UTAUT of Sports Smart Wearable Devices

Cited by 7 publications

References 21 publications

Innovativeness and Factors that Affect the Information Technology Adoption in the Classroom by Primary Teachers in Chile

Innovativeness and Factors that Affect the Information Technology Adoption in the Classroom by Primary Teachers in Chile

A meta-analysis of a comprehensive m-health technology acceptance

The Factors of the Psychotherapists' Attitude Towards Technology: Combining Attitudes Towards Technology and Technology Readiness Models

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