Factors Influencing User Experience

Semerádová, Tereza; Weinlich, Petr

doi:10.1007/978-3-030-44440-2_3

Cited by 8 publications

(6 citation statements)

References 145 publications

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“…In this sense, the behavior of users is mediated by the opinions of other clients on the platforms. These reputation systems incorporate information on the behavior of sellers in past transactions to generate greater trust in the user (Semerádová & Weinlich, 2020). This functionality also incorporates certain risks since many of the reviews are promoted by fictitious users (Tibermacine et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Influence of Computer Knowledge and Level of Education on Spanish Citizens’ Propensity to Use E-Commerce

Jiménez-Rodríguez

Vázquez‐Cano

Cebrián-Hernández

et al. 2021

Social Science Computer Review

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This article analyzes the influence of Spanish citizens’ computer knowledge and level of education on their tolerance of, or aversion to, risk in the online purchase of goods and services. To this end, annual survey data from Spain’s National Statistics Institute were used to know the incidence in e-commerce of the following variables: “computer knowledge,” “electronic commerce,” and “socioeconomic characteristics.” A method based on the design of a computer knowledge indicator was used, followed by a bivariate logistic regression to determine computer knowledge and level of education. The results show that the higher the level of computer knowledge, the greater the impulse to buy online and the higher the tolerance of risk. There was also a positive relation between level of education and propensity to buy; the higher the level of education, the greater the propensity.

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Section: Discussionmentioning

confidence: 99%

Influence of Computer Knowledge and Level of Education on Spanish Citizens’ Propensity to Use E-Commerce

Jiménez-Rodríguez

Vázquez‐Cano

Cebrián-Hernández

et al. 2021

Social Science Computer Review

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show abstract

“…Furthermore, broadening the scope of the investigation. Expanding the scope of research might enhance comprehension of additional variables that might impact user experience (Semerádová and Weinlich, 2020). Additionally, alternative approaches, such as qualitative methodologies or a combination of methods, are employed to assess UX, aiming to yield more comprehensive study findings (Lanius, Weber and Robinson, 2021).…”

Section: Noveltymentioning

confidence: 99%

Challenging the Status Quo: Open Journal Systems for Online Academic Writing Course

Herdianto,

Setyosari,

Kuswandi

et al. 2024

EJEL

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Doctoral students require scientific writing skills and appropriate learning media assistance to meet publication requirements in distinguished journals. This investigation evaluates the efficacy of Moodle and OJS in teaching dissertation proposals, based on the experiences of engineering doctoral students, to provide suggestions for the optimal platform. The study examining the efficacy of the OJS-based learning model for developing dissertation proposals as compared to Moodle for engineering doctoral students revealed varying results based on the statistical methodology used by UEQ. While the Comparison of Scale Means indicated OJS to be superior across all scales, the Two-Sample T-Test established significant differences solely on a few scales. While the OJS learning model may have a higher mean value, its superiority across all aspects of UEQ cannot be assumed. To enhance student learning experience, outcomes, and the learning model itself, optimization of all UEQ scales is imperative in the OJS-based approach to dissertation proposal development

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“…The research underscores the intricacy of these aspects, but attention is drawn to their mutual influence on user contentment and successful deployment. First of all, the most important feature of system accuracy is that it always correlates with positive experiences because human beings play an explicit role (Semerádová et al, 2020;Deng et al, 2015) [10,11]. The effect of AI-aided decision-making systems' accuracy level on user confidence and trust highlights how strong it is for shaping a general perception of satisfaction with such products.…”

Section: Factors Influencing User Experiencesmentioning

confidence: 99%

Enhancing User Experiences in Ai-Driven Decision-Making

Aldossari

2024

OJRAT

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Factors Influencing User Experience

Cited by 8 publications

References 145 publications

Influence of Computer Knowledge and Level of Education on Spanish Citizens’ Propensity to Use E-Commerce

Influence of Computer Knowledge and Level of Education on Spanish Citizens’ Propensity to Use E-Commerce

Challenging the Status Quo: Open Journal Systems for Online Academic Writing Course

Enhancing User Experiences in Ai-Driven Decision-Making

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