Analyzing User Experience in Mobile Web, Native and Progressive Web Applications

Cardieri, Giulia de Andrade; Zaina, Luciana A. M.

doi:10.1145/3274192.3274201

Cited by 23 publications

(15 citation statements)

References 20 publications

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“…The shortage of studies on cross-platform user experience perspectives is the motivation for de Andrade Cardieri and Zaina’s [23] recent study. They invite end-users and an HCI specialist in an effort to uncover differences in interaction enjoyment between three cross-platform development approaches: Progressive Web Apps, regular mobile websites, and native mobile applications.…”

Section: Related Workmentioning

confidence: 99%

“…However, the user’s perspective of cross-platform approaches is also assessed in a study from 2016 by Mercado et al [24], in which n=787,228 app user reviews have been classified using Natural Language Processing (NLP). While de Andrade Cardieri and Zaina’s study [23] is of a qualitative and controlled nature, Mercado et al study the perspectives of performance, reliability, usability and security based on submitted feedback from users in Google’s Play Store and Apple’s App Store. Their results indicate a discrepancy between the iOS and Android platforms, as Android users’ perception of performance, reliability and usability is more negative towards Hybrid applications than native applications.…”

Section: Related Workmentioning

confidence: 99%

“…We find mentions of the importance of user experience and native-like user interfaces to flourish in the literature (e.g., [5,7,26]). While others have focused on the perception of user interfaces, usability and user experience, including Mercado et al [24] and de Andrade Cardieri and Zaina [23], we target the performance of animated user interfaces on mobile devices, leaving the potential correlation of hardware performance and user perception as a suggestion for further research. According to Noei et al [27], device attributes including CPU, display and operating system have a significant relationship on user-perceived quality.…”

Section: Related Workmentioning

confidence: 99%

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Animations in Cross-Platform Mobile Applications: An Evaluation of Tools, Metrics and Performance

Biørn-Hansen

Grønli

Ghinea

2019

Sensors

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Along with the proliferation of high-end and performant mobile devices, we find that the inclusion of visually animated user interfaces are commonplace, but that research on their performance is scarce. Thus, for this study, eight mobile apps have been developed for scrutiny and assessment to report on the device hardware impact and penalties caused by transitions and animations, with an emphasis on apps generated using cross-platform development frameworks. The tasks we employ for animation performance measuring, are those of (i) a complex animation consisting of multiple elements, (ii) the opening sequence of a side menu navigation pattern, and (iii) a transition animation during in-app page navigation. We employ multiple performance profiling tools, and scrutinize metrics including frames per second (FPS), CPU usage, device memory usage and GPU memory usage, all to uncover the impact caused by executing transitions and animations. We uncover important differences in device hardware utilization during animations across the different cross-platform technologies employed. Additionally, Android and iOS are found to differ greatly in terms of memory consumption, CPU usage and rendered FPS, a discrepancy that is true for both the native and cross-platform apps. The findings we report are indeed factors contributing to the complexity of app development.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Animations in Cross-Platform Mobile Applications: An Evaluation of Tools, Metrics and Performance

Biørn-Hansen

Grønli

Ghinea

2019

Sensors

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“…Users, for instance, cannot fully report their experiences due to the lack of a field to provide a written report of the experience [ 7 , 8 ]. Moreover, studies have been pointing out varied results (sometimes even contradictory) when applying different methods [ 7 , 9 , 10 ] or evaluating in other moments of the interaction (e.g., retrospectively or concurrently) [ 11 , 12 ]. This issue is critical, as developers can make different decisions according to the results obtained from these methods [ 10 ], which, in turn, could affect the UX conveyed by the application and, consequently, users’ acceptance and continuous usage.…”

Section: Introductionmentioning

confidence: 99%

Are UX Evaluation Methods Providing the Same Big Picture?

Nakamura

Ahmed

Redmiles

et al. 2021

Sensors

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The success of a software application is related to users’ willingness to keep using it. In this sense, evaluating User eXperience (UX) became an important part of the software development process. Researchers have been carrying out studies by employing various methods to evaluate the UX of software products. Some studies reported varied and even contradictory results when applying different UX evaluation methods, making it difficult for practitioners to identify which results to rely upon. However, these works did not evaluate the developers’ perspectives and their impacts on the decision process. Moreover, such studies focused on one-shot evaluations, which cannot assess whether the methods provide the same big picture of the experience (i.e., deteriorating, improving, or stable). This paper presents a longitudinal study in which 68 students evaluated the UX of an online judge system by employing AttrakDiff, UEQ, and Sentence Completion methods at three moments along a semester. This study reveals contrasting results between the methods, which affected developers’ decisions and interpretations. With this work, we intend to draw the HCI community’s attention to the contrast between different UX evaluation methods and the impact of their outcomes in the software development process.

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“…Its user-interface design and navigation are similar to those of native application, but it is more affordable to develop and maintain. Thus, PWA is gaining popularity for mobile application construction [13].…”

Section: Introductionmentioning

confidence: 99%

Effect of Educational Progressive Web Application on Patient’s Oral and Denture Knowledge and Hygiene: A Randomised Controlled Trial

Lim

Tarib³

et al. 2020

Preprint

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Background: Patient dental education is crucial for the prevention of oral diseases. Effective conveyance of post-denture delivery instructions is beneficial for promoting good oral and denture hygiene. This study aimed to evaluate the effect of a novel progressive web application (PWA) on the patient’s oral and denture knowledge and hygiene. The patient’s acceptance of this new educational approach was also assessed.Methods: A parallel randomised controlled trial was conducted at the Faculty of Dentistry, Universiti Kebangsaan Malaysia. A total of 52 cobalt–chromium removable partial denture wearers aged 25–75 years were randomised into two groups. The participants in the PWA group were educated using PWA, whereas those in the control group were educated verbally, accompanied by a practical demonstration of hygienic procedures. A questionnaire was provided to evaluate the changes in the participants’ knowledge score at baseline, immediately after education and at 3 months after education. A blinded single examiner conducted the clinical assessment of plaque index (PI), gingival index (GI) and denture plaque (DP) scores at baseline (D0) and at 1 month (D30) and 3 months after education (D90). The patients’ acceptance of PWA was explored through usage logs and a feedback form. Data were analysed using two-way mixed ANOVA, Mann–Whitney U test and Friedman test.Results: A total of 49 participants were analysed. The PWA and control groups showed significant improvement in knowledge scores and oral and denture hygiene indices (p < 0.001) after education. The PWA group demonstrated lower PI, GI and DP scores than the control group at D30 and D90. However, only the GI was significantly lower (p = 0.008) at D90. In addition, 92% of the participants used PWA at least once after being introduced to it.Conclusions: PWA was effective in improving the patients’ oral and denture knowledge and hygiene. The participants also found it as a useful reference material for denture care. Thus, PWA is a viable option for providing post-denture delivery instructions.Trial registration: ClinicalTrials NCT04358172. Retrospectively registered on 21/04/2020. https://clinicaltrials.gov/ct2/show/NCT04358172

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Analyzing User Experience in Mobile Web, Native and Progressive Web Applications

Cited by 23 publications

References 20 publications

Animations in Cross-Platform Mobile Applications: An Evaluation of Tools, Metrics and Performance

Animations in Cross-Platform Mobile Applications: An Evaluation of Tools, Metrics and Performance

Are UX Evaluation Methods Providing the Same Big Picture?

Effect of Educational Progressive Web Application on Patient’s Oral and Denture Knowledge and Hygiene: A Randomised Controlled Trial

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