research-article

Understanding multitasking through parallelized strategy exploration and individualized cognitive modeling

Authors:

Yunfeng Zhang and

Anthony J. HornofAuthors Info & Claims

CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2014

Pages 3885 - 3894

https://doi.org/10.1145/2556288.2557351

Published: 26 April 2014 Publication History

Abstract

Human multitasking often involves complex task interactions and subtle tradeoffs which might be best understood through detailed computational cognitive modeling, yet traditional cognitive modeling approaches may not explore a sufficient range of task strategies to reveal the true complexity of multitasking behavior. This study proposes a systematic approach for exploring a large number of strategies using a computer-cluster-based parallelized modeling system. The paper demonstrates the efficacy of the approach for investigating and revealing the effects of different microstrategies on human performance, both within and across individuals, for a time-pressured multimodal dual task. The modeling results suggest that multitasking performance is not simply a matter of interleaving cognitive and sensorimotor processing but is instead heavily influenced by the selection of subtask microstrategies.

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Cited By

Seymour T(2022)EPICpy: A Python Interface for EPIC Computational Cognitive ModelingJournal of Open Source Software10.21105/joss.045337:76(4533)Online publication date: Aug-2022
https://doi.org/10.21105/joss.04533
Moss JWong ADurriseau JBradshaw G(2021)Tracking strategy changes using machine learning classifiersBehavior Research Methods10.3758/s13428-021-01720-454:4(1818-1840)Online publication date: 26-Oct-2021
https://doi.org/10.3758/s13428-021-01720-4
Wobbrock J(2019)Situationally-Induced Impairments and DisabilitiesWeb Accessibility10.1007/978-1-4471-7440-0_5(59-92)Online publication date: 4-Jun-2019
https://doi.org/10.1007/978-1-4471-7440-0_5
Show More Cited By

Index Terms

Understanding multitasking through parallelized strategy exploration and individualized cognitive modeling
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
  2. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2014

4206 pages

ISBN:9781450324731

DOI:10.1145/2556288

General Chairs:
Matt Jones
Swansea University, Wales, UK
,
Philippe Palanque
Université Paul Sabatier, France
,
Program Chairs:
Albrecht Schmidt
University of Stuttgart, Germany
,
Tovi Grossman
Autodesk Research, Canada

Copyright © 2014 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]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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New York, NY, United States

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Published: 26 April 2014

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CHI '14

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CHI '14: CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2014

Ontario, Toronto, Canada

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CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Seymour T(2022)EPICpy: A Python Interface for EPIC Computational Cognitive ModelingJournal of Open Source Software10.21105/joss.045337:76(4533)Online publication date: Aug-2022
https://doi.org/10.21105/joss.04533
Moss JWong ADurriseau JBradshaw G(2021)Tracking strategy changes using machine learning classifiersBehavior Research Methods10.3758/s13428-021-01720-454:4(1818-1840)Online publication date: 26-Oct-2021
https://doi.org/10.3758/s13428-021-01720-4
Wobbrock J(2019)Situationally-Induced Impairments and DisabilitiesWeb Accessibility10.1007/978-1-4471-7440-0_5(59-92)Online publication date: 4-Jun-2019
https://doi.org/10.1007/978-1-4471-7440-0_5
Minotra DDikmen MHo ABurns C(2018)Does Predictability Play a Role in Task Management? An Experimental Study With a Financial Trading SimulationIEEE Transactions on Human-Machine Systems10.1109/THMS.2018.286059548:6(702-711)Online publication date: Dec-2018
https://doi.org/10.1109/THMS.2018.2860595
Mubin OTejlavwala DArsalan MAhmad MSimoff S(2018)An assessment into the characteristics of award winning papers at CHIScientometrics10.1007/s11192-018-2778-7116:2(1181-1201)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1007/s11192-018-2778-7
Farmer GJanssen CNguyen ABrumby D(2017)Dividing Attention Between Tasks: Testing Whether Explicit Payoff Functions Elicit Optimal Dual‐Task PerformanceCognitive Science10.1111/cogs.1251342:3(820-849)Online publication date: 27-Jun-2017
https://doi.org/10.1111/cogs.12513
Kieras DHornof A(2017)Cognitive architecture enables comprehensive predictive models of visual searchBehavioral and Brain Sciences10.1017/S0140525X1600012140Online publication date: 24-May-2017
https://doi.org/10.1017/S0140525X16000121
Balint JReynolds BBlaha LHalverson T(2017)Visualizing Eye Movements in Formal Cognitive ModelsEye Tracking and Visualization10.1007/978-3-319-47024-5_6(93-111)Online publication date: 4-Feb-2017
https://doi.org/10.1007/978-3-319-47024-5_6
Gould SCox ABrumby DWiseman S(2016)Short links and tiny keyboardsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2016.07.00996:C(38-53)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1016/j.ijhcs.2016.07.009
Chen XBailly GBrumby DOulasvirta AHowes ABegole BKim JInkpen KWoo W(2015)The Emergence of Interactive BehaviorProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems10.1145/2702123.2702483(4217-4226)Online publication date: 18-Apr-2015
https://dl.acm.org/doi/10.1145/2702123.2702483

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