Usability Evaluation with Heuristics. New Proposal from Integrating Two Trusted Sources

Granollers, Toni

doi:10.1007/978-3-319-91797-9_28

Cited by 25 publications

(19 citation statements)

References 6 publications

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“…This agreement level was based on a 7-points Likert scale. It is important to notice that the first statement was suggested by the specialists during the pilot test, three statements were adapted from Granollers (2018), and one of them was adapted from Perlman (1997). Table 3, on the other hand, presents some statements related to the flexibility questionnaire, particularly the flexibility of the environment and also used a 7-points Likert scale.…”

Section: The Elicitation Process Of Trustworthiness Attributesmentioning

confidence: 99%

User perception as a factor for improving Trustworthiness in e-commerce systems

Casare,

Silva,

Moraes

2024

JIS

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The User Interface (UI) is the first artefact that the user interacts with while developing a sense of trust that motivates him to use software applications more effectively. A badly designed UI can deceive users and bring the system into disrepute. Trustworthiness in UI is mandatory, as a poorly implemented UI can lead to the user misusing the system and jeopardizing the expected result. Trust in computational systems involves not only technical aspects, such as computational infrastructure, storage space, and service composition, but also aspects of Human-Computer Interaction (HCI). While technological aspects have received considerable attention, there are few research on human-computer interaction in terms of trust. This paper describes a way for assessing a system’s trustworthiness based on the user’s perception. The approach relies on a quality model to aggregate interface quality criteria in order to get a trustworthiness score. Three sets of experiments involving more than 300 individuals were carried out to validate the suggested methodology. A comparison was made between the trustworthiness score obtained through the methodology and the answers to open questions obtained through the users’ questionnaires. The results were consistent, and statistical analysis corroborated the positive assessment. Based on these results, examples of improvements were developed to highlight the usefulness of the approach for developing more trustworthiness interfaces.

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Section: The Elicitation Process Of Trustworthiness Attributesmentioning

confidence: 99%

User perception as a factor for improving Trustworthiness in e-commerce systems

Casare,

Silva,

Moraes

2024

JIS

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“…Relationships between interface quality and perceived usefulness on satisfaction have been noticed (Noh and Lee, 2016). Interface quality is typically associated with usability evaluation with heuristics (Granollers, 2018). Interface with high quality brings about high usability and thus encourages frequent use of the system.…”

Section: Interface Qualitymentioning

confidence: 99%

The effect of interface quality, system quality, and perceived usefulness of an automated pronunciation scoring system on student satisfaction

Soon¹,

Yew²,

Chua³

et al. 2023

Int. j. adv. appl. sci.

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Presently, the utilization of an automated pronunciation scoring system holds significant importance in the endeavor to enhance the pronunciation skills of non-native learners. A plethora of research endeavors have been dedicated to exploring the various factors that contribute to students' satisfaction with this technology. This particular investigation, however, narrows its focus to examine the influence of interface quality, system quality, and perceived usefulness of the automated pronunciation scoring system on students' levels of satisfaction. The approach employed in this study is quantitative, employing a cross-sectional design, and data was gathered through a survey questionnaire administered to a sample of 250 students from two universities in Malaysia. The collected data were subjected to analysis utilizing Structural Equation Modelling Partial Least Square (SEM-PLS), complemented by SmartPLS3.3 software. The outcomes of this analysis unequivocally indicate that both system quality and the perceived usefulness of the automated pronunciation scoring system significantly and positively impact students' satisfaction. However, it was found that the interface quality does not wield a significant influence on students' overall satisfaction. In conclusion, this investigation has successfully identified and explored the critical factors that contribute to students' satisfaction when utilizing an automated pronunciation scoring system. Moreover, the study establishes a strong correlation between the implementation of such a system and heightened levels of student satisfaction. These findings underscore the importance of diligently attending to interface quality, system quality, and perceived usefulness to optimize the effectiveness of an automated pronunciation scoring system. It is crucial for instructors to play an active role in ensuring that users are adept at navigating and interacting with the system, fostering a positive and fruitful learning experience.

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“…There are several approaches to analyzing the user experience and usability of artifacts. From the HCI perspective, these approaches are heuristic evaluation and observational usability testing (Granollers, 2018). Heuristic evaluation became the most popular user-centered design (UCD) approach in the 1990s; this technique is an effective method for evaluating user interfaces by making recommendations based on UCD principles (Granollers, 2018).…”

Section: Usability Testing and Heuristic Evaluationmentioning

confidence: 99%

IoT applied to irrigation systems in agriculture: A usability analysis

Riaño

Galeano-Barrera

Guerrero

et al. 2022

Rev. colomb. comput.

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The Internet of Things favors using technological tools in rural environments thanks to the ability to connect to the Internet between devices that facilitate daily tasks. The research aims to evaluate the usability of the decision support system for irrigation in agriculture, AgroRIEGO, through the development of an IoT-based device. The sponsors of this project were the Ministry of Information and Communication Technologies and the Center of Excellence in the Internet of Things Appropriation (CEA-IoT) in Colombia. Among the methods used is the use of the heuristic evaluation technique, structured into 15 categories and 62 subcategories of assessment. This analysis was complemented by the contribution of a group of experts in the design and development of IoT applications and devices and agriculture to assess the system's attributes.

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Usability Evaluation with Heuristics. New Proposal from Integrating Two Trusted Sources

Cited by 25 publications

References 6 publications

User perception as a factor for improving Trustworthiness in e-commerce systems

User perception as a factor for improving Trustworthiness in e-commerce systems

The effect of interface quality, system quality, and perceived usefulness of an automated pronunciation scoring system on student satisfaction

IoT applied to irrigation systems in agriculture: A usability analysis

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