scholarly journals Recommending and Localizing Change Requests for Mobile Apps Based on User Reviews

2017 ◽  
Author(s):  
Fabio Palomba ◽  
Pasquale Salza ◽  
Adelina Ciurumelea ◽  
Sebastiano Panichella ◽  
Harald Gall ◽  
...  
Keyword(s):  
Mobile Apps ◽  
User Reviews ◽  
Change Requests

scholarly journals What do users think of the UK’s three COVID-19 contact-tracing apps? A comparative analysis

2021 ◽  
Vol 28 (1) ◽  
pp. e100320
Author(s):  
Vahid Garousi ◽  
David Cutting
Keyword(s):  
Mobile Apps ◽  
Analysis Data ◽  
End Users ◽  
Contact Tracing ◽  
User Reviews ◽  
The Public ◽  
Engineering Teams ◽  
Technical Issues ◽  
The Uk ◽  
The Right

ObjectivesOur goal was to gain insights into the user reviews of the three COVID-19 contact-tracing mobile apps, developed for the different regions of the UK: ‘NHS COVID-19’ for England and Wales, ‘StopCOVID NI’ for Northern Ireland and ‘Protect Scotland’ for Scotland. Our two research questions are (1) what are the users’ experience and satisfaction levels with the three apps? and (2) what are the main issues (problems) that users have reported about the apps?MethodsWe assess the popularity of the apps and end users’ perceptions based on user reviews in app stores. We conduct three types of analysis (data mining, sentiment analysis and topic modelling) to derive insights from the combined set of 25 583 user reviews of the aforementioned three apps (submitted by users until the end of 2020).ResultsResults show that end users have been generally dissatisfied with the apps under study, except the Scottish app. Some of the major issues that users have reported are high battery drainage and doubts on whether apps are really working.DiscussionTowards the end of 2020, the much-awaited COVID-19 vaccines started to be available, but still, analysing the users’ feedback and technical issues of these apps, in retrospective, is valuable to learn the right lessons to be ready for similar circumstances in future.ConclusionOur results show that more work is needed by the stakeholders behind the apps (eg, apps’ software engineering teams, public-health experts and decision makers) to improve the software quality and, as a result, the public adoption of these apps. For example, they should be designed to be as simple as possible to operate (need for usability).

How Should I Improve the UI of My App?

2021 ◽  
Vol 30 (3) ◽  
pp. 1-38
Author(s):  
Qiuyuan Chen ◽  
Chunyang Chen ◽  
Safwat Hassan ◽  
Zhengchang Xing ◽  
Xin Xia ◽  
...  
Keyword(s):  
Positive Impact ◽  
Mobile Apps ◽  
Frequent Patterns ◽  
Response Mechanism ◽  
Essential Factor ◽  
User Reviews ◽  
Information Request ◽  
Comparative Review ◽  
Google Play ◽  
Patterns Of Interaction

UI (User Interface) is an essential factor influencing users’ perception of an app. However, it is hard for even professional designers to determine if the UI is good or not for end-users. Users’ feedback (e.g., user reviews in the Google Play) provides a way for app owners to understand how the users perceive the UI. In this article, we conduct an in-depth empirical study to analyze the UI issues of mobile apps. In particular, we analyze more than 3M UI-related reviews from 22,199 top free-to-download apps and 9,380 top non-free apps in the Google Play Store. By comparing the rating of UI-related reviews and other reviews of an app, we observe that UI-related reviews have lower ratings than other reviews. By manually analyzing a random sample of 1,447 UI-related reviews with a 95% confidence level and a 5% interval, we identify 17 UI-related issues types that belong to four categories (i.e., “Appearance,” “Interaction,” “Experience,” and “Others” ). In these issue types, we find “Generic Review” is the most occurring one. “Comparative Review” and “Advertisement” are the most negative two UI issue types. Faced with these UI issues, we explore the patterns of interaction between app owners and users. We identify eight patterns of how app owners dialogue with users about UI issues by the review-response mechanism. We find “Apology or Appreciation” and “Information Request” are the most two frequent patterns. We find updating UI timely according to feedback is essential to satisfy users. Besides, app owners could also fix UI issues without updating UI, especially for issue types belonging to “Interaction” category. Our findings show that there exists a positive impact if app owners could actively interact with users to improve UI quality and boost users’ satisfactoriness about the UIs.

FeatCompare: Feature comparison for competing mobile apps leveraging user reviews

2021 ◽  
Vol 26 (5) ◽  
Author(s):  
Maram Assi ◽  
Safwat Hassan ◽  
Yuan Tian ◽  
Ying Zou
Keyword(s):  
Mobile Apps ◽  
User Reviews

scholarly journals A Preliminary Evaluation of Mobile Phone Apps to Curb Alcohol Consumption

2021 ◽  
Vol 19 (1) ◽  
pp. 135
Author(s):  
Omar Mubin ◽  
Billy Cai ◽  
Abdullah Al Mahmud ◽  
Isha Kharub ◽  
Michael Lwin ◽  
...  
Keyword(s):  
Alcohol Intake ◽  
Mobile Apps ◽  
Modern Society ◽  
Self Control ◽  
Preliminary Evaluation ◽  
User Reviews ◽  
Design Recommendations ◽  
Alcohol Cessation ◽  
User Ratings ◽  
Google Play

Mobile apps have become increasingly prevalent in modern society, and persuasive technology has a broader market than ever. Mobile-based alcohol cessation apps can promote positive behaviour change in users and improve the overall health of our society. This research aimed to understand the various features users respond to and make design recommendations for alcohol cessation apps. This paper reports on three sources of feedback (user ratings, user reviews, MARS App Quality score) provided on 20 alcohol cessation apps in the Google Play Store. Our findings suggest that self-control type apps received much greater positive user reviews than motivational apps. In addition, this trend was not observed through numeric user ratings. We also speculate on design recommendations for apps that are meant to inhibit alcohol intake.

Release planning of mobile apps based on user reviews

2016 ◽  
Author(s):  
Lorenzo Villarroel ◽  
Gabriele Bavota ◽  
Barbara Russo ◽  
Rocco Oliveto ◽  
Massimiliano Di Penta
Keyword(s):  
Mobile Apps ◽  
User Reviews ◽  
Release Planning

scholarly journals COVIDTAS COVID-19 Tracing App Scale—An Evaluation Framework

2021 ◽  
Vol 13 (5) ◽  
pp. 2912
Author(s):  
Raghu Raman ◽  
Krishnashree Achuthan ◽  
Ricardo Vinuesa ◽  
Prema Nedungadi
Keyword(s):  
Public Health ◽  
User Satisfaction ◽  
Mobile Apps ◽  
Evaluation Framework ◽  
Contact Tracing ◽  
User Reviews ◽  
Average Performance ◽  
Government Leadership ◽  
Major Factors ◽  
User Ratings

Mobile apps play an important role in COVID-19 tracing and tracking, with different countries taking different approaches. Our study focuses on 17 government owned COVID-19 Contact Tracing Apps (CTAs) and analyze them using a proposed COVIDTAS framework. User satisfaction is not directly related to the COVIDTAS score or the interaction between users and the app developers. To increase adoption of CTAs, government leadership must offer assurance to its citizens that their identify will be concealed and emphasize the benefits of CTAs as it relates to shared public health. While no country has topped the list on all three major factors (COVIDTAS Score, User Reviews, and User Ratings), the CTA from India seems to have above average performance on all three factors.

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