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Interactive Control and Visualization of Difficulty Inferences from User-Interface Commands

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Prasun DewanAuthors Info & Claims

IUI '15 Companion: Companion Proceedings of the 20th International Conference on Intelligent User Interfaces

Pages 25 - 28

https://doi.org/10.1145/2732158.2732177

Published: 29 March 2015 Publication History

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Abstract

Recently, there has been research on inferring user emotions. Like other inference research, it requires an iterative process in which what-if scenarios are played with different features and algorithms. Traditional, general-purpose data mining tools such as Weka have played an important part in promoting this process. We have augmented this toolset with an additional interactive test-bed designed for prediction and communication of programmer difficulties from user-interface commands. It provides end-user interfaces for communicating, correcting, and reacting to the predictions. In addition, it offers researchers user-interfaces for interacting with the prediction process as it is executed rather than, as in traditional mining tools, after it has generated data for a set of experimental subjects. These user-interfaces can be used to determine key elements of the prediction process, why certain wrong or right predictions have been made, and change parameters of the process. A video demonstration this work is available at http://youtu.be/09LpDIPG5h8.

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References

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Cited By

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Zhao HLi MLin TWang RWu Z(2021)ProLog2vec: Detecting Novices’ Difficulty in Programming Using Deep LearningIEEE Access10.1109/ACCESS.2021.30675059(53243-53254)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3067505
Carter JDewan PBegel ASerebrenik AGraziotin D(2018)Contextualizing inferred programming difficultiesProceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering10.1145/3194932.3194937(32-38)Online publication date: 2-Jun-2018
https://dl.acm.org/doi/10.1145/3194932.3194937
Long DWang KCarter JDewan P(2018)Exploring the Relationship Between Programming Difficulty and Web Accesses2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VLHCC.2018.8506511(131-135)Online publication date: Oct-2018
https://doi.org/10.1109/VLHCC.2018.8506511
Show More Cited By

Index Terms

Interactive Control and Visualization of Difficulty Inferences from User-Interface Commands
1. Human-centered computing
  1. Collaborative and social computing

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IUI '15 Companion: Companion Proceedings of the 20th International Conference on Intelligent User Interfaces

March 2015

164 pages

ISBN:9781450333085

DOI:10.1145/2732158

General Chairs:
Oliver Brdiczka
Vectra Networks, Inc.
,
Polo Chau
Georgia Tech
,
Program Chairs:
Giuseppe Carenini
University of British Columbia
,
Shimei Pan
University of Maryland
,
Per Ola Kristensson
University of Cambridge

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.

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Published: 29 March 2015

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IUI'15: IUI'15 20th International Conference on Intelligent User Interfaces

March 29 - April 1, 2015

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

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Zhao HLi MLin TWang RWu Z(2021)ProLog2vec: Detecting Novices’ Difficulty in Programming Using Deep LearningIEEE Access10.1109/ACCESS.2021.30675059(53243-53254)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3067505
Carter JDewan PBegel ASerebrenik AGraziotin D(2018)Contextualizing inferred programming difficultiesProceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering10.1145/3194932.3194937(32-38)Online publication date: 2-Jun-2018
https://dl.acm.org/doi/10.1145/3194932.3194937
Long DWang KCarter JDewan P(2018)Exploring the Relationship Between Programming Difficulty and Web Accesses2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VLHCC.2018.8506511(131-135)Online publication date: Oct-2018
https://doi.org/10.1109/VLHCC.2018.8506511
Dewan P(2016)Inferred Awareness to Support Mixed-Activity Collaboration2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC)10.1109/CIC.2016.052(339-348)Online publication date: Nov-2016
https://doi.org/10.1109/CIC.2016.052
Dewan PBegel APrikladnicki RDittrich Yde Souza CSarma AAthavale S(2015)Towards emotion-based collaborative software engineeringProceedings of the Eighth International Workshop on Cooperative and Human Aspects of Software Engineering10.5555/2819321.2819343(109-112)Online publication date: 16-May-2015
https://dl.acm.org/doi/10.5555/2819321.2819343
Dewan P(2015)Towards Emotion-Based Collaborative Software EngineeringProceedings of the 2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of Software Engineering10.1109/CHASE.2015.32(109-112)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1109/CHASE.2015.32
Carter JDewan P(2015)Mining Programming Activity to Promote HelpECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Norway10.1007/978-3-319-20499-4_2(23-42)Online publication date: 29-Jul-2015
https://doi.org/10.1007/978-3-319-20499-4_2

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