research-article

QuickReview: A Novel Data-Driven Mobile User Interface for Reporting Problematic App Features

Authors:

Sherlock A. Licorish,

Bastin Tony Roy Savarimuthu,

Tobias LanglotzAuthors Info & Claims

IUI '17: Proceedings of the 22nd International Conference on Intelligent User Interfaces

Pages 517 - 522

https://doi.org/10.1145/3025171.3025178

Published: 07 March 2017 Publication History

Abstract

User-reviews of mobile applications provide information that benefits other users and developers. Even though reviews contain feedback about an app's performance and problematic features, users and app developers need to spend considerable effort reading and analyzing the feedback provided. In this work, we introduce and evaluate QuickReview, an intelligent user interface for reporting problematic app features. Preliminary user evaluations show that QuickReview facilitates users to add reviews swiftly with ease, and also helps developers with quick interpretation of submitted reviews by presenting a ranked list of commonly reported features.

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Cited By

Wang XZhang TTan YShang WLi Y(2024)How to effectively mine app reviews concerning software ecosystem? A survey of review characteristicsJournal of Systems and Software10.1016/j.jss.2024.112040213(112040)Online publication date: Jul-2024
https://doi.org/10.1016/j.jss.2024.112040
de Ryckel XSluÿters AVanderdonckt J(2022)SnappView, a Software Development Kit for Supporting End-user Mobile Interface ReviewProceedings of the ACM on Human-Computer Interaction10.1145/35345276:EICS(1-38)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3534527
Soui MChouchane MMkaouer MKessentini MGhedira K(2019)Assessing the quality of mobile graphical user interfaces using multi-objective optimizationSoft Computing10.1007/s00500-019-04391-8Online publication date: 8-Oct-2019
https://doi.org/10.1007/s00500-019-04391-8
Show More Cited By

Index Terms

QuickReview: A Novel Data-Driven Mobile User Interface for Reporting Problematic App Features
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

cover image ACM Conferences

IUI '17: Proceedings of the 22nd International Conference on Intelligent User Interfaces

March 2017

654 pages

ISBN:9781450343480

DOI:10.1145/3025171

General Chairs:
George A. Papadopoulos
The University of Cyprus, Cyprus
,
Tsvi Kuflik
The University of Haifa, Israel
,
Program Chairs:
Fang Chen
Data61, CSIRO Australia
,
Carlos Duarte
The University of Lisbon, Portugal
,
Wai-Tat Fu
The University of Illinois at Urbana-Champaign, USA

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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New York, NY, United States

Publication History

Published: 07 March 2017

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IUI'17

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IUI'17: 22nd International Conference on Intelligent User Interfaces

March 13 - 16, 2017

Limassol, Cyprus

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IUI '17 Paper Acceptance Rate 63 of 272 submissions, 23%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

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IUI '25

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30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

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Cited By

Wang XZhang TTan YShang WLi Y(2024)How to effectively mine app reviews concerning software ecosystem? A survey of review characteristicsJournal of Systems and Software10.1016/j.jss.2024.112040213(112040)Online publication date: Jul-2024
https://doi.org/10.1016/j.jss.2024.112040
de Ryckel XSluÿters AVanderdonckt J(2022)SnappView, a Software Development Kit for Supporting End-user Mobile Interface ReviewProceedings of the ACM on Human-Computer Interaction10.1145/35345276:EICS(1-38)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3534527
Soui MChouchane MMkaouer MKessentini MGhedira K(2019)Assessing the quality of mobile graphical user interfaces using multi-objective optimizationSoft Computing10.1007/s00500-019-04391-8Online publication date: 8-Oct-2019
https://doi.org/10.1007/s00500-019-04391-8
Greenheld GSavarimuthu BLicorish S(2018)Automating Developers' Responses to App Reviews2018 25th Australasian Software Engineering Conference (ASWEC)10.1109/ASWEC.2018.00017(66-70)Online publication date: Nov-2018
https://doi.org/10.1109/ASWEC.2018.00017
Licorish SSavarimuthu BKeertipati SMendes ECounsell SPetersen K(2017)Attributes that Predict which Features to FixProceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering10.1145/3084226.3084246(108-117)Online publication date: 15-Jun-2017
https://dl.acm.org/doi/10.1145/3084226.3084246

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