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Cursor Entropy Reveals Decision Fatigue

Authors:

Daniel Reinhardt,

Jörn HurtienneAuthors Info & Claims

IUI '18 Companion: Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces

Article No.: 31, Pages 1 - 2

https://doi.org/10.1145/3180308.3180340

Published: 05 March 2018 Publication History

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Abstract

Recognizing impairments of the user's ability to make goal-related decisions is an important feature for intelligent user interfaces, because this points to a higher need to support the user by the intelligent system. Here, we introduce using the entropy of cursor movements as an indicator of decision fatigue. We report an empirical proof-of-concept study that manipulates the amount of decision fatigue in participants. The results show that cursor entropy is increased for people with higher decision fatigue than for people with lower decision fatigue. Thus, intelligent user interfaces become capable of detecting decision fatigue on the basis of cursor entropy and could recognize when users need assistance in their decision making.

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Cited By

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Echterhoff JMelkote AKancherla SMcAuley J(2024)Avoiding Decision Fatigue with AI-Assisted Decision-MakingProceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3627043.3659569(1-11)Online publication date: 22-Jun-2024
https://dl.acm.org/doi/10.1145/3627043.3659569
Reinhardt DHurtienne J(2023)Measuring Intuitive Use: Theoretical FoundationsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.216620440:10(2453-2483)Online publication date: 25-Jan-2023
https://doi.org/10.1080/10447318.2023.2166204
Reinhardt DHurtienne JWienrich C(2020)Measuring Mental Effort via Entropy in VRCompanion Proceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3379336.3381493(43-44)Online publication date: 17-Mar-2020
https://dl.acm.org/doi/10.1145/3379336.3381493
Show More Cited By

Index Terms

Cursor Entropy Reveals Decision Fatigue
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Published In

IUI '18 Companion: Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces

March 2018

141 pages

ISBN:9781450355711

DOI:10.1145/3180308

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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Association for Computing Machinery

New York, NY, United States

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Published: 05 March 2018

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IUI'18: 23rd International Conference on Intelligent User Interfaces

March 7 - 11, 2018

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IUI '18 Companion Paper Acceptance Rate 63 of 127 submissions, 50%;

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

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Echterhoff JMelkote AKancherla SMcAuley J(2024)Avoiding Decision Fatigue with AI-Assisted Decision-MakingProceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3627043.3659569(1-11)Online publication date: 22-Jun-2024
https://dl.acm.org/doi/10.1145/3627043.3659569
Reinhardt DHurtienne J(2023)Measuring Intuitive Use: Theoretical FoundationsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.216620440:10(2453-2483)Online publication date: 25-Jan-2023
https://doi.org/10.1080/10447318.2023.2166204
Reinhardt DHurtienne JWienrich C(2020)Measuring Mental Effort via Entropy in VRCompanion Proceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3379336.3381493(43-44)Online publication date: 17-Mar-2020
https://dl.acm.org/doi/10.1145/3379336.3381493
Pereira LBrewster SFitzpatrick GCox AKostakos V(2019)A Mouse (H)Over a Hotspot SurveyExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3312956(1-6)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3312956
Reinhardt DHurtienne JBrewster SFitzpatrick GCox AKostakos V(2019)Only one item left?Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300708(1-10)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300708
Reinhardt DHaesler SHurtienne JWienrich C(2019)Entropy of Controller Movements Reflects Mental Workload in Virtual Reality2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR.2019.8797977(802-808)Online publication date: Mar-2019
https://doi.org/10.1109/VR.2019.8797977

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Avoiding Decision Fatigue with AI-Assisted Decision-Making

What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing

Fatigue Life Methodology for Tapered Composite Flexbeam Laminates

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