tutorial

Research in the large. using app stores, markets, and other wide distribution channels in Ubicomp research

Authors:

Didier ChincholleAuthors Info & Claims

UbiComp '10 Adjunct: Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct

Pages 511 - 514

https://doi.org/10.1145/1864431.1864501

Published: 26 September 2010 Publication History

Get Access

Abstract

The mobile phones that people use in their daily lives now run advanced applications and come equipped with sensors once only available in custom hardware in UbiComp research. At the same time application distribution has become increasingly simple due to the proliferation of app stores and the like. Evaluation and research methods have to be adapted to this new context to get the best data and feedback from wide audiences. However, an overview of successful strategies to overcome research challenges inherent to wide deployment is not yet available. App store platform characteristics, devices, reaching target users, new types of evaluation data and dynamic, heterogeneous usage contexts have to be dealt with. This workshop provides a forum for researchers and developers to exchange experiences and strategies for wide distribution of applications. We aim at building an understanding of the opportunities of various distribution channels and obstacles involved in a research context.

References

[1]

}}Ames, M. and Naaman, M. 2007. Why we tag: motivations for annotation in mobile and online media. Proc. CHI'07, 971--980.

Digital Library

Google Scholar

[2]

}}Anderson, I., Maitland, J., Sherwood, S., Barkhuus, L., Chalmers, M., Hall, M., Brown, B., Muller, H. 2007. Shakra: tracking and sharing daily activity levels with unaugmented mobile phones. Mobile Networks and Applications. 12, 185--199.

Digital Library

Google Scholar

[3]

}}Campbell, A., and Choudhury, T. 2009. Toward Societal Scale Sensing using Mobile Phones. White paper in Proc. NSF Workshop on Future Directions in Network Sensing Systems.

Google Scholar

[4]

}}Fraunhofer AICOS, mover.projects.fraunhofer.p.

Google Scholar

[5]

}}Henderson, T. and Ben Abdesslem, F. 2009. Scaling measurement experiments to planet-scale: ethical, regulatory and cultural considerations. Proc. HotPlanet '09.

Digital Library

Google Scholar

[6]

}}Kittur, A., Chi, E., Suh, B. 2008. Crowdsourcing User Studies With Mechanical Turk, Proc. CHI'08, 453--456.

Digital Library

Google Scholar

[7]

}}McMillan, D., Morrison, A., Brown, O., Hall, M. Chalmers, M. 2010. Further into the Wild: Running Worldwide Trials of Mobile Systems, Proc. Pervasive'10, 210--227.

Digital Library

Google Scholar

[8]

}}Miluzzo, E. et al. 2008. Evaluating the iPhone as a mobile platform for people-centric sensing applications, Proc. UrbanSense'08.

Google Scholar

[9]

}}RuiXue, X., Rost, M., and Holmquist, L. E. 2010. Business models in the mobile ecosystem. Proc. of Global Mobility Roundtable, Athens, Greece.

Digital Library

Google Scholar

[10]

}}Wired, 2009 Apple's appalling approach to iPhone app approvals. http://bit.ly/7maD.

Google Scholar

[11]

}}1Zhai, S., Kristensson, P.O., Gong, P., Greiner, M., Peng, S.A., Liu, M.L., Dunnigan, A. 2009. Shapewriter on the iPhone: from the laboratory to the real world. Proc. CHI'09, 2667--2670.

Digital Library

Google Scholar

Cited By

View all

Su YBacklund PEngström H(2020)Comprehensive review and classification of game analyticsService Oriented Computing and Applications10.1007/s11761-020-00303-zOnline publication date: 1-Nov-2020
https://doi.org/10.1007/s11761-020-00303-z
Su Y(2019)Game Analytics Research: Status and TrendsAdvances in E-Business Engineering for Ubiquitous Computing10.1007/978-3-030-34986-8_40(572-589)Online publication date: 28-Nov-2019
https://doi.org/10.1007/978-3-030-34986-8_40
Roig-Maimó MVarona JManresa-Yee CManresa-Yee CSansó R(2018)Reflections on ESM in the WildProceedings of the XIX International Conference on Human Computer Interaction10.1145/3233824.3233825(1-4)Online publication date: 12-Sep-2018
https://dl.acm.org/doi/10.1145/3233824.3233825
Show More Cited By

Index Terms

Research in the large. using app stores, markets, and other wide distribution channels in Ubicomp research
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

Recommendations

Same app, different app stores: a comparative study
MOBILESoft '17: Proceedings of the 4th International Conference on Mobile Software Engineering and Systems

To attract more users, implementing the same mobile app for different platforms has become a common industry practice. App stores provide a unique channel for users to share feedback on the acquired apps through ratings and textual reviews. However, ...
Experimenting Through Mobile 'Apps' and 'App Stores'

Utilizing App Stores as part of an 'in-the-large' methodology requires researchers to have a good understanding of the effects the platform has in the overall experimental process if they are to utilize it effectively. This paper presents an empirical ...
2nd workshop on research in the large. using app stores, wide distribution channels and big data in ubicomp research
UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing

With the proliferation of app stores and the advancement of mobile devices, research that might have only been tested with a dozen participants in the past can now be released to millions. This offers huge opportunities, but also requires adaptations of ...

Comments

Information & Contributors

Information

Published In

UbiComp '10 Adjunct: Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct

September 2010

203 pages

ISBN:9781450302838

DOI:10.1145/1864431

General Chairs:
Jakob E. Bardram
IT University of Copenhagen, Denmark
,
Marc Langheinrich
University of Lugano, Switzerland
,
Program Chairs:
Khai N. Truong
University of Toronto, Canada
,
Paddy Nixon
University College Dublin, Ireland

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 ACM 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]

In-Cooperation

University of Florida: University of Florida

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Tutorial

Conference

Ubicomp '10

Sponsor:

Ubicomp '10: The 2010 ACM Conference on Ubiquitous Computing

September 26 - 29, 2010

Copenhagen, Denmark

Acceptance Rates

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

17
Total Citations
View Citations
593
Total Downloads

Downloads (Last 12 months)17
Downloads (Last 6 weeks)2

Reflects downloads up to 24 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Su YBacklund PEngström H(2020)Comprehensive review and classification of game analyticsService Oriented Computing and Applications10.1007/s11761-020-00303-zOnline publication date: 1-Nov-2020
https://doi.org/10.1007/s11761-020-00303-z
Su Y(2019)Game Analytics Research: Status and TrendsAdvances in E-Business Engineering for Ubiquitous Computing10.1007/978-3-030-34986-8_40(572-589)Online publication date: 28-Nov-2019
https://doi.org/10.1007/978-3-030-34986-8_40
Roig-Maimó MVarona JManresa-Yee CManresa-Yee CSansó R(2018)Reflections on ESM in the WildProceedings of the XIX International Conference on Human Computer Interaction10.1145/3233824.3233825(1-4)Online publication date: 12-Sep-2018
https://dl.acm.org/doi/10.1145/3233824.3233825
Scott KRichards DLondos G(2018)Assessment criteria for parents to determine the trustworthiness of maternal and child health apps: a pilot studyHealth and Technology10.1007/s12553-018-0216-88:1-2(63-70)Online publication date: 25-Jan-2018
https://doi.org/10.1007/s12553-018-0216-8
Bellucci AVianello AFlorack YJacucci G(2016)Supporting the Serendipitous Use of Domestic TechnologiesIEEE Pervasive Computing10.1109/MPRV.2016.2615:2(16-25)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1109/MPRV.2016.26
Chittaro LVianello A(2016)Evaluation of a mobile mindfulness app distributed through on-line storesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2015.09.00486:C(63-80)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.ijhcs.2015.09.004
Marcinkowski MFonseca F(2016)The conditions of peak empiricism in big data and interaction designJournal of the Association for Information Science and Technology10.1002/asi.2349767:6(1279-1288)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1002/asi.23497
Kranz MMöller AMichahelles F(2015)Large-Scale Research via App StoresEmerging Perspectives on the Design, Use, and Evaluation of Mobile and Handheld Devices10.4018/978-1-4666-8583-3.ch012(269-292)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-8583-3.ch012
Stastny SFarshchian BVilarinho T(2015)Designing an Application Store for the Internet of Things: Requirements and ChallengesAmbient Intelligence10.1007/978-3-319-26005-1_21(313-327)Online publication date: 30-Oct-2015
https://doi.org/10.1007/978-3-319-26005-1_21
Kranz MMurmann LMichahelles F(2013)Research in the LargeInternational Journal of Mobile Human Computer Interaction10.4018/jmhci.20130101035:1(45-61)Online publication date: 1-Jan-2013
https://doi.org/10.4018/jmhci.2013010103
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Same app, different app stores: a comparative study

Experimenting Through Mobile 'Apps' and 'App Stores'

2nd workshop on research in the large. using app stores, wide distribution channels and big data in ubicomp research

Comments

Information

Published In

Sponsors

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations