Set of Usability Heuristics for Quality Assessment of Mobile Applications on Smartphones

Costa, Ruyther Parente da; Canedo, Edna Dias; Sousa, Rafael T. de; Albuquerque, Robson de Oliveira; Villalba, Luis Javier García

doi:10.1109/access.2019.2910778

Cited by 42 publications

(17 citation statements)

References 34 publications

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“…At this point, a preliminary usability evaluation was performed. To do so, a couple of usability methods were applied: The Keystroke-Level Model (also known as KLM) and a heuristic evaluation approach specifically designed for mobile devices (also referred to as Mobile Heuristic Evaluation), measuring efficiency and effectiveness; these attributes are seen in most mobile usability evaluations [62,63].…”

Section: Methodsmentioning

confidence: 99%

Applying usability recommendations when developing mobile instant messaging applications

et al. 2021

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Mobile Instant Messaging applications noted a growing number of active users recently. Although having millions of users, the previous research results have shown usability flaws in this type of mobile applications. Difficulties when performing tasks, poor design of user interfaces, or lack of information about privacy and security methods were some of the identified flaws. Consequently, a collection of usability recommendations was proposed. The goal of these recommendations is to improve the experience in the use of these mobile applications and, thus, enhancing the usability of this kind of apps. These recommendations were taken into account during the development process of a new instant messaging application. Thus, in this study, the authors present the resulting application, its characteristics, how usability recommendations were covered through design and development phases, and a preliminary usability evaluation performed by conducting two research methods: KLM and Mobile Heuristic Evaluation. Both methods ranked the prototype at top positions (i.e. good usability results) when compared with the results obtained in previous studies about other existing instant messaging applications. K E Y W O R D Shuman computer interaction, mobile applications, software usability, usability evaluation methods, user interfaces | INTRODUCTIONNowadays, mobile devices have obtained the consideration of being essential tools for almost all people [1]. It should be borne in mind that they are the most used electronic devices [2], with more than 3 billion smartphones [3]. Along with the use of mobile phones, mobile applications (thereafter called, simply, ''apps'') are experiencing an exponential growth in their usage: Between 2009 and 2020, an increase in the number of available mobile apps was reported from 16 thousand apps to 2.9 million apps in Google Play Store and from 25 thousand apps to 1.8 million apps in Apple Apps Store [4][5][6].One type of mobile applications with a growing usage is Mobile Instant Messaging apps (namely, MIM or IM apps), with a high number of active users [7,8], as an evolution of SMS messages [9] and as an improvement of social relationships [10].Nevertheless, when we put together and observe mobile devices, instant messaging apps, and usability, previous studies have found several usability issues in their usage [11][12][13][14][15][16]. Given the fact that creating and attracting users to use a MIM app does not require too much effort, improving usability should be the key to maintain users using the app [17,18]. It is true that web usability is highly widespread and, therefore, the use of usability guidelines is quite common in web development and research. However, mobile usability guidelines (sometimes also referred to as recommendations, standards or directives, depending on the authors) are rather infrequent to be found in mobile research studies, as derived from the current literature review [19,20].As said before, MIM apps show a large number of users in a wide range of apps. Based on th...

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Section: Methodsmentioning

confidence: 99%

Applying usability recommendations when developing mobile instant messaging applications

et al. 2021

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“…To achieve the best possible result and to be able to search the existing publications we decided on the most popular search engines: Scopus, Web of Science and Google Scholar. As summarized in Figure 4, we deeply detail the attributes and sub-attributes studied and selected in this paper, extracted from the best known and most often cited models in the literature [24][25][26][27][28][34][35][36][56][57][58][59][60][61]. Furthermore, we describe the selection procedure, the entry for each category and more information.…”

Section: Approach To Literature Review Entry Selection and Classificationmentioning

confidence: 99%

“…ISO 9241-11:2018 [61], Nielsen [56,57], QUIM [35], PACMAD [26,47], GQM [48], MAUEM [27], Mortem Hertzum [49].…”

Section: Concept Evaluation Model and Toolmentioning

confidence: 99%

CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario

et al. 2021

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The forthcoming 6G will attempt to rewrite the communication networks’ perspective focusing on a shift in paradigm in the way technologies and services are conceived, integrated and used. In this viewpoint, the Internet of Medical Things (IoMT) represents a merger of medical devices and health applications that are connected through networks, introducing an important change in managing the disease, treatments and diagnosis, reducing costs and faults. In 6G, the edge intelligence moves the innovative abilities from the central cloud to the edge and jointly with the complex systems approach will enable the development of a new category of lightweight applications as microservices. It requires edge intelligence also for the service evaluation in order to introduce the same degree of adaptability. We propose a new evaluation model, called CoKnowEMe (context knowledge evaluation model), by introducing an architectural and analytical scheme, modeled following a complex and dynamical approach, consisting of three inter-operable level and different networked attributes, to quantify the quality of IoMT microservices depending on a changeable context of use. We conduct simulations to display and quantify the structural complex properties and performance statistical estimators. We select and classify suitable attributes through a further detailed procedure in a supplementary information document.

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“…12 In principle, usability and utility evaluation at all stages and as a continuous exercise during information system building is recommended. Traditionally analytical models 13 , 14 of the evaluation of usefulness of an information system involves inputs by subject matter professionals. Involving end-users for such evaluation, called empirical models, 13 is the user-centered approach for creating software.…”

Section: Introductionmentioning

confidence: 99%

Discovery, development, and deployment of a user-centered point-of-care digital information system to treat and track hypertension and diabetes patients under India Hypertension Control Initiative 2019–2022, India

Ganeshkumar,

Bhatnagar,

Burka

et al. 2024

DIGITAL HEALTH

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Background Hypertension affects 28.5% of Indians aged 18–69. Real-time registration and follow-up of persons with hypertension are possible with point-of-care digital information systems. We intend to describe herein the experiences of discovering, developing, and deploying a point-of-care digital information system for public health facilities under the India Hypertension Control Initiative. Methods We have adopted an agile and user-centered approach in each phase in selected states of India since 2017. A multidisciplinary team adopted a hybrid approach with quantitative and qualitative methods, such as contextual inquiries, usability testing, and semi-structured interviews with healthcare workers, to document and monitor utility and usability. Results During the discovery phase, we adopted a storyboard technique to understand the requirement of a digital information system. The participatory approach in discovery phase co-designed the information system with the nurses and doctors at Punjab state of India. Simple, which is the developed information system, has a front-end Android mobile application for healthcare workers and a backend dashboard for program managers. As of October 2022, over 24,31,962 patients of hypertension and 8,99,829 diabetes were registered in the information system of 10,017 health facilities. The median duration of registering a new patient was 50 seconds, and for recording a follow-up visit was 14 seconds in the app. High satisfaction was reported in 100 app users’ quarterly interviews. Conclusion Simple was implemented by administering a user-centered approach and agile techniques. It demonstrated high utility and usability among users, highlighting the benefits of a user-centered approach for effective digital health solutions.

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Set of Usability Heuristics for Quality Assessment of Mobile Applications on Smartphones

Cited by 42 publications

References 34 publications

Applying usability recommendations when developing mobile instant messaging applications

Applying usability recommendations when developing mobile instant messaging applications

CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario

Discovery, development, and deployment of a user-centered point-of-care digital information system to treat and track hypertension and diabetes patients under India Hypertension Control Initiative 2019–2022, India

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