research-article

Mood independent programming

Authors:

Iftikhar Ahmed Khan,

Robert M. Hierons,

Willem Paul BrinkmanAuthors Info & Claims

ECCE '07: Proceedings of the 14th European conference on Cognitive ergonomics: invent! explore!

Pages 269 - 272

https://doi.org/10.1145/1362550.1362606

Published: 28 August 2007 Publication History

Abstract

Motivation -- The motivation behind this study is to improve the programmer's coding and debugging performance by considering their moods.

Research approach -- This study will use an empirical research approach that involves the use of un-controlled and controlled experimentation.

Findings/Design -- The main findings suggest that there is a possible effect of moods on the performance of the programmers' coding and debugging activities.

Take away message -- Moods may have an impact on programmer's performance. It may be possible to detect moods on the basis of information regarding the programmer's use of the keyboard and mouse, and to integrate them into development environments that can improve programmer performance.

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Cited By

Almazova NHallstrom JFowler MHollingsworth JKraemer ESitaraman MWashington G(2022)Automated Analysis of Student Verbalizations in Online Learning EnvironmentsEmerging Technologies for Education10.1007/978-3-030-92836-0_25(290-302)Online publication date: 28-Jan-2022
https://doi.org/10.1007/978-3-030-92836-0_25
Coto MMora SGrass BMurillo-Morera J(2021)Emotions and programming learning: systematic mappingComputer Science Education10.1080/08993408.2021.192081632:1(30-65)Online publication date: 17-May-2021
https://doi.org/10.1080/08993408.2021.1920816
Dahn MDeliema DEnyedy N(2020)Art as a Point of Departure for Understanding Student Experience in Learning to CodeTeachers College Record: The Voice of Scholarship in Education10.1177/016146812012200802122:8(1-42)Online publication date: 1-Aug-2020
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cover image ACM Conferences

ECCE '07: Proceedings of the 14th European conference on Cognitive ergonomics: invent! explore!

August 2007

334 pages

ISBN:9781847998491

DOI:10.1145/1362550

Conference Chairs:
Willem Paul Brinkman
Brunel University, UK/Delft University of Technology, The Netherlands
,
Dong Han Ham
Middlesex University, UK
,
B. L. William Wong
Middlesex University, UK

Copyright © 2007 ACM.

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]

Sponsors

The British Computer Society
ACM: Association for Computing Machinery
SIGCHI: Specialist Interest Group in Computer-Human Interaction of the ACM
Interactions, the Human-Computer Interaction Specialist Group of the BCS
Middlesex University, London, School of Computing Science
European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
EACE: European Association of Cognitive Ergonomics
Brunel University, West London, Department of Information Systems and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 August 2007

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ACM
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EACE

ECCE07: European Conference on Cognitive Ergonomics 2007

August 28 - 31, 2007

London, United Kingdom

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Overall Acceptance Rate 56 of 91 submissions, 62%

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Cited By

Almazova NHallstrom JFowler MHollingsworth JKraemer ESitaraman MWashington G(2022)Automated Analysis of Student Verbalizations in Online Learning EnvironmentsEmerging Technologies for Education10.1007/978-3-030-92836-0_25(290-302)Online publication date: 28-Jan-2022
https://doi.org/10.1007/978-3-030-92836-0_25
Coto MMora SGrass BMurillo-Morera J(2021)Emotions and programming learning: systematic mappingComputer Science Education10.1080/08993408.2021.192081632:1(30-65)Online publication date: 17-May-2021
https://doi.org/10.1080/08993408.2021.1920816
Dahn MDeliema DEnyedy N(2020)Art as a Point of Departure for Understanding Student Experience in Learning to CodeTeachers College Record: The Voice of Scholarship in Education10.1177/016146812012200802122:8(1-42)Online publication date: 1-Aug-2020
https://doi.org/10.1177/016146812012200802
Wrobel M(2020)The Impact of Lexicon Adaptation on the Emotion Mining From Software Engineering ArtifactsIEEE Access10.1109/ACCESS.2020.29791488(48742-48751)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2979148
Valdez MMerelo JAguila ASoto A(2019)Mining of Keystroke and Mouse Dynamics to Increase the Engagement of Students with Programming AssignmentsComputational Intelligence10.1007/978-3-030-16469-0_3(41-61)Online publication date: 30-May-2019
https://doi.org/10.1007/978-3-030-16469-0_3
Bosch ND’Mello S(2015)The Affective Experience of Novice Computer ProgrammersInternational Journal of Artificial Intelligence in Education10.1007/s40593-015-0069-527:1(181-206)Online publication date: 26-Oct-2015
https://doi.org/10.1007/s40593-015-0069-5
Fritz TBegel AMüller SYigit-Elliott SZüger MJalote PBriand LHoek A(2014)Using psycho-physiological measures to assess task difficulty in software developmentProceedings of the 36th International Conference on Software Engineering10.1145/2568225.2568266(402-413)Online publication date: 31-May-2014
https://dl.acm.org/doi/10.1145/2568225.2568266
Bosch ND’Mello SMills C(2013)What Emotions Do Novices Experience during Their First Computer Programming Learning Session?Artificial Intelligence in Education10.1007/978-3-642-39112-5_2(11-20)Online publication date: 2013
https://doi.org/10.1007/978-3-642-39112-5_2
Tabanao ERodrigo MJadud MSanders KCaspersen MClear ASanders K(2011)Predicting at-risk novice Java programmers through the analysis of online protocolsProceedings of the seventh international workshop on Computing education research10.1145/2016911.2016930(85-92)Online publication date: 8-Aug-2011
https://dl.acm.org/doi/10.1145/2016911.2016930
Rodrigo MBaker RJadud MAmarra ADy TEspejo-Lahoz MLim SPascua SSugay JTabanao E(2009)Affective and behavioral predictors of novice programmer achievementACM SIGCSE Bulletin10.1145/1595496.156292941:3(156-160)Online publication date: 6-Jul-2009
https://dl.acm.org/doi/10.1145/1595496.1562929
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