skip to main content
10.1145/2818052.2874317acmconferencesArticle/Chapter ViewAbstractPublication PagescscwConference Proceedingsconference-collections
abstract

DiscoverySpace: Crowdsourced Suggestions Onboard Novices in Complex Software

Published: 27 February 2016 Publication History

Abstract

Complex software, while powerful for experts, can overwhelm new users. Novices often do not know how to execute tasks, what they want to achieve, or even what is possible. We aim to address these problems by leveraging the large expert user base such programs tend to have. We present DiscoverySpace, a prototype extension panel for Adobe Photoshop that suggests macros for effects to apply to the user's photo, based on features of the photo. These macros are Photoshop actions that have been created and shared online by the user community, and can be applied in one click. Our work demonstrates how high-level macro suggestions can help users get started in a complex application. Preliminary feedback from a pilot study indicates that these suggestions may be most useful for users with exploratory goals, such as “make this photo more fun,” rather than users with very specific goals.

References

[1]
Eytan Adar, Mira Dontcheva, and Gierad Laput. 2014. CommandSpace: modeling the relationships between tasks, descriptions and features. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14). ACM, New York, NY, USA, 167-176.
[2]
Leah Findlater and Joanna McGrenere. 2010. Beyond performance: Feature awareness in personalized interfaces. Int. J. Hum.-Comput. Stud. 68, 3 (March 2010), 121-137.
[3]
Floraine Grabler, Maneesh Agrawala, Wilmot Li, Mira Dontcheva, and Takeo Igarashi. 2009. Generating photo manipulation tutorials by demonstration. In ACM SIGGRAPH 2009 papers (SIGGRAPH '09), ACM, New York, NY, USA, Article 66, 9 pages.
[4]
Wei Li, Justin Matejka, Tovi Grossman, Joseph A. Konstan, and George Fitzmaurice. 2011. Design and evaluation of a command recommendation system for software applications. ACM Trans. Comput.-Hum. Interact. 18, 2, Article 6 (July 2011), 35 pages.
[5]
Ben Shneiderman. 2000. Universal usability. Commun. ACM 43, 5 (May 2000), 84-91.
[6]
Ka-Ping Yee, Kirsten Swearingen, Kevin Li, and Marti Hearst. 2003. Faceted metadata for image search and browsing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '03). ACM, New York, NY, USA, 401-408.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion
February 2016
549 pages
ISBN:9781450339506
DOI:10.1145/2818052
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 February 2016

Check for updates

Author Tags

  1. complex software
  2. crowdsourcing
  3. novice onboarding
  4. photo editing
  5. recommendations

Qualifiers

  • Abstract

Funding Sources

Conference

CSCW '16
Sponsor:
CSCW '16: Computer Supported Cooperative Work and Social Computing
February 26 - March 2, 2016
California, San Francisco, USA

Acceptance Rates

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)12
  • Downloads (Last 6 weeks)1
Reflects downloads up to 21 Dec 2024

Other Metrics

Citations

Cited By

View all

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media