Comparing Zooming Methods in Mobile Devices: Effectiveness, Efficiency, and User Satisfaction in Touch and Nontouch Smartphones

García-López, Eva; de‐Marcos, Luis; García-Cabot, Antonio; Martínez-Herráiz, José-Javier

doi:10.1080/10447318.2015.1064640

Cited by 10 publications

(4 citation statements)

References 45 publications

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“…Zooming methods are determined by device manufacturers, and there was no evaluation carried out to examine their usability. Garcia-Lopez et al [78] examined the most efficient, effective, and satisfying zooming methods by comparing zooming techniques from 19 different devices. The study found no significant differences on efficiency and effectiveness among zooming techniques.…”

Section: Information Controlmentioning

confidence: 99%

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Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review

Punchoojit

Hongwarittorrn

2017

Advances in Human-Computer Interaction

144

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Mobile platforms have called for attention from HCI practitioners, and, ever since 2007, touchscreens have completely changed mobile user interface and interaction design. Some notable differences between mobile devices and desktops include the lack of tactile feedback, ubiquity, limited screen size, small virtual keys, and high demand of visual attention. These differences have caused unprecedented challenges to users. Most of the mobile user interface designs are based on desktop paradigm, but the desktop designs do not fully fit the mobile context. Although mobile devices are becoming an indispensable part of daily lives, true standards for mobile UI design patterns do not exist. This article provides a systematic literature review of the existing studies on mobile UI design patterns. The first objective is to give an overview of recent studies on the mobile designs. The second objective is to provide an analysis on what topics or areas have insufficient information and what factors are concentrated upon. This article will benefit the HCI community in seeing an overview of present works, to shape the future research directions.

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Section: Information Controlmentioning

confidence: 99%

“…There are several techniques used in zooming, for instance, on-screen buttons, hardware buttons, interactive scale, and on-screen gesture. Early studies on zooming covered several areas, including screen size, readability, font size, selection precision, and designing for visual-impaired and senior users [78,79].…”

Section: Information Controlmentioning

confidence: 99%

Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review

Punchoojit

Hongwarittorrn

2017

Advances in Human-Computer Interaction

144

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“…e applied methodology uses a set of heuristics as one of the inspection methods. Due to the peculiarities of mobile devices, such as small screen size or touch screens, several studies [33][34][35][36] concluded that traditional heuristics do not work well with mobile apps and, therefore, that it is necessary to develop and use heuristics specially designed for mobile devices. ere are, indeed, alternatives to analyze mobile apps with heuristics.…”

mentioning

confidence: 99%

Identifying Usability Issues in Instant Messaging Apps on iOS and Android Platforms

Caro‐Alvaro

García-López

García-Cabot

et al. 2018

Mobile Information Systems

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With the rise of mobile devices and the high number of instant messaging applications available in the stores, it is necessary to evaluate the usability of such applications to provide a more satisfying user experience. To this end, this paper presents a methodical usability evaluation of instant messaging applications both in iOS and Android platforms. A predefined evaluation was used, which was created to detect the main usability issues of mobile applications, regardless of the device used and the evaluated applications. Consequently, two methods were used: the keystroke level model and the mobile heuristic evaluation. Also, the results suggest that the main problems of this type of applications are difficulties in performing tasks (some of them were not agile nor easy to complete), lack of element cohesion (some icons and buttons did not follow the style of the operating system, bad translations, and too much information on the screen), problems with the user interface (pop-ups overlapping the status bar, clipped elements, sometimes the interface did not rotate, and, in other cases, the interface changed considerably when the device was rotated), and lack of information about privacy and security features. Finally, based on the results, we propose a set of recommendations that will be helpful for developers of this kind of applications.

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“…Whether primacy and recency, this effect of information ordering have been experimentally validated in decision-making environments [ 25 ]. In human–computer interaction literature, controlling the order is considered an effective technique to meet the evolving user experience [ 31 ]. Similarly, in collaborative AI-based decision-making tools, decision-makers trust judgments are based on several explanation types and information presented in the explanation.…”

Section: Resultsmentioning

confidence: 99%

Explainable recommendation: when design meets trust calibration

et al. 2021

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Human-AI collaborative decision-making tools are being increasingly applied in critical domains such as healthcare. However, these tools are often seen as closed and intransparent for human decision-makers. An essential requirement for their success is the ability to provide explanations about themselves that are understandable and meaningful to the users. While explanations generally have positive connotations, studies showed that the assumption behind users interacting and engaging with these explanations could introduce trust calibration errors such as facilitating irrational or less thoughtful agreement or disagreement with the AI recommendation. In this paper, we explore how to help trust calibration through explanation interaction design. Our research method included two main phases. We first conducted a think-aloud study with 16 participants aiming to reveal main trust calibration errors concerning explainability in AI-Human collaborative decision-making tools. Then, we conducted two co-design sessions with eight participants to identify design principles and techniques for explanations that help trust calibration. As a conclusion of our research, we provide five design principles: Design for engagement, challenging habitual actions, attention guidance, friction and support training and learning. Our findings are meant to pave the way towards a more integrated framework for designing explanations with trust calibration as a primary goal.

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Comparing Zooming Methods in Mobile Devices: Effectiveness, Efficiency, and User Satisfaction in Touch and Nontouch Smartphones

Cited by 10 publications

References 45 publications

Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review

Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review

Identifying Usability Issues in Instant Messaging Apps on iOS and Android Platforms

Explainable recommendation: when design meets trust calibration

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