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AppAware: which mobile applications are hot?

Authors:

Florian MichahellesAuthors Info & Claims

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

Pages 431 - 434

https://doi.org/10.1145/1851600.1851698

Published: 07 September 2010 Publication History

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Abstract

Today most mobile operating systems provide users with an application portal where they can search for applications published by third-party developers. However, finding new apps is not an easy task and requires either to know what to look for or to go through an endless list of applications. In this paper we present work in progress of a platform that allows its users to discover mobile applications in a serendipitous manner. AppAware is a mobile application that captures and shares installations, updates, and removals of Android programs in real time. Accordingly, AppAware allows its users to see what applications are being installed right now or around their position by other people, thus introducing a new way of interaction with application portals and other mobile users.

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Ribaut JDeVito Dabbs ADobbels FTeynor AMess EHoffmann TDe Geest S(2024)Developing a Comprehensive List of Criteria to Evaluate the Characteristics and Quality of eHealth Smartphone Apps: Systematic ReviewJMIR mHealth and uHealth10.2196/4862512(e48625)Online publication date: 15-Jan-2024
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Lee HSeong SChung HLee YKim J(2023)Systematic Search and Qualitative Evaluation of Dietary Supplement Mobile Applications: Using the Mobile Application Rating Scale (MARS)Korean Journal of Clinical Pharmacy10.24304/kjcp.2023.33.1.5133:1(51-61)Online publication date: 31-Mar-2023
https://doi.org/10.24304/kjcp.2023.33.1.51
Ranjani HNitika SHariharan RCharumeena HOliver NPradeepa RChambers JUnnikrishnan RMohan VAvari PAnjana R(2021)Systematic review and scientific rating of commercial apps available in India for diabetes preventionJournal of Diabetology10.4103/JOD.JOD_68_2112:3(285)Online publication date: 2021
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Index Terms

AppAware: which mobile applications are hot?
1. Human-centered computing

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Information

Published In

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

September 2010

552 pages

ISBN:9781605588353

DOI:10.1145/1851600

General Chairs:
Marco de Sá
LaSIGE & University of Lisboa, Portugal
,
Luís Carriço
LaSIGE & University of Lisboa, Portugal
,
Program Chair:
Nuno Correia
CITI & New University of Lisboa, Portugal

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2010

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MobileHCI '10

MobileHCI '10: 12th International Conference on Human Computer Interaction with Mobile Devices and Services

September 7 - 10, 2010

Lisbon, Portugal

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MobileHCI '10 Paper Acceptance Rate 46 of 225 submissions, 20%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

View all

Ribaut JDeVito Dabbs ADobbels FTeynor AMess EHoffmann TDe Geest S(2024)Developing a Comprehensive List of Criteria to Evaluate the Characteristics and Quality of eHealth Smartphone Apps: Systematic ReviewJMIR mHealth and uHealth10.2196/4862512(e48625)Online publication date: 15-Jan-2024
https://doi.org/10.2196/48625
Lee HSeong SChung HLee YKim J(2023)Systematic Search and Qualitative Evaluation of Dietary Supplement Mobile Applications: Using the Mobile Application Rating Scale (MARS)Korean Journal of Clinical Pharmacy10.24304/kjcp.2023.33.1.5133:1(51-61)Online publication date: 31-Mar-2023
https://doi.org/10.24304/kjcp.2023.33.1.51
Ranjani HNitika SHariharan RCharumeena HOliver NPradeepa RChambers JUnnikrishnan RMohan VAvari PAnjana R(2021)Systematic review and scientific rating of commercial apps available in India for diabetes preventionJournal of Diabetology10.4103/JOD.JOD_68_2112:3(285)Online publication date: 2021
https://doi.org/10.4103/JOD.JOD_68_21
Siddiqui NHodges SSharif M(2021)Orthodontic apps: an assessment of quality (using the Mobile App Rating Scale (MARS)) and behaviour change techniques (BCTs)Progress in Orthodontics10.1186/s40510-021-00373-522:1Online publication date: 13-Sep-2021
https://doi.org/10.1186/s40510-021-00373-5
Fan YTu ZLi YChen XGao HZhang LSu LJin D(2020)Personalized Context-aware Collaborative Online Activity PredictionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33698293:4(1-28)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.1145/3369829
Gendy MAl-Kabbany ABadran E(2020)Green CrowdSensing With Comprehensive Reputation Awareness and Predictive Device-Application Matching Using a New Real-Life DatasetIEEE Access10.1109/ACCESS.2020.30444958(225757-225776)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3044495
Moon HCheon JLee JBanda DGriffin-Shirley NAjuwon P(2020)Factors influencing the intention of persons with visual impairment to adopt mobile applications based on the UTAUT modelUniversal Access in the Information Society10.1007/s10209-020-00757-021:1(93-107)Online publication date: 24-Sep-2020
https://doi.org/10.1007/s10209-020-00757-0
Willemse BKaptein MHasaart F(2019)Developing effective methods for eHealth personalization: protocol for the Health Telescope, a prospective interventional study (Preprint)JMIR Research Protocols10.2196/16471Online publication date: 2-Oct-2019
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Khazen WJeanne JDemaretz LSchäfer FFagherazzi G(2019)Rethinking the use of mobile applications for dietary assessment in medical research: a viewpoint (Preprint)Journal of Medical Internet Research10.2196/15619Online publication date: 24-Jul-2019
https://doi.org/10.2196/15619
Siddiqui NHodges SSharif M(2019)Availability of orthodontic smartphone appsJournal of Orthodontics10.1177/146531251985118346:3(235-241)Online publication date: 6-Jun-2019
https://doi.org/10.1177/1465312519851183
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