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 2016Publication 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. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Ben Shneiderman. 2000. Universal usability. Commun. ACM 43, 5 (May 2000), 84-91. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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. Google ScholarGoogle ScholarDigital LibraryDigital Library

Recommendations

Comments

Login options

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

Sign in
  • 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

    Copyright © 2016 Owner/Author

    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.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 27 February 2016

    Check for updates

    Qualifiers

    • abstract

    Acceptance Rates

    Overall Acceptance Rate2,235of8,521submissions,26%

    Upcoming Conference

    CSCW '24

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader