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abstract

Use of attentive information dashboards to support task resumption in working environments

Published: 14 June 2018 Publication History

Abstract

Interruptions are known as one of the big challenges in working environments. Due to improper resuming the primary task, such interruptions may result in task resumption failures and negatively influence the task performance. This phenomenon also occurs when users are working with information dashboards in working environments. To address this problem, an attentive dashboard issuing visual feedback is developed. This feedback supports the user in resuming the primary task after the interruption by guiding the visual attention. The attentive dashboard captures visual attention allocation of the user with a low-cost screen-based eye-tracker while they are monitoring the graphs. This dashboard is sensitive to the occurrence of external interruption by tracking the eye-movement data in real-time. Moreover, based on the collected eye-movement data, two types of visual feedback are designed which highlight the last fixated graph and unnoticed ones.

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References

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Cited By

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  • (2021)Investigating the Use of Task Resumption Cues to Support Learning in Interruption-Prone EnvironmentsMultimodal Technologies and Interaction10.3390/mti60100026:1(2)Online publication date: 30-Dec-2021
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  • (2021)EyeTC: Attentive Terms and Conditions of Internet-Based Services with Webcam-Based Eye TrackingInformation Systems and Neuroscience10.1007/978-3-030-88900-5_13(112-119)Online publication date: 29-Oct-2021
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cover image ACM Conferences
ETRA '18: Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications
June 2018
595 pages
ISBN:9781450357067
DOI:10.1145/3204493
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

Publication History

Published: 14 June 2018

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Author Tags

  1. attentive user interface
  2. interruption
  3. low-cost eye-tracker
  4. task-resumption

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  • Abstract

Funding Sources

  • Center of Excellence for Data and Analytics of KPMG AG in Germany

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ETRA '18

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

View all
  • (2021)Investigating the Use of Task Resumption Cues to Support Learning in Interruption-Prone EnvironmentsMultimodal Technologies and Interaction10.3390/mti60100026:1(2)Online publication date: 30-Dec-2021
  • (2021)Why Did you Stop? - Investigating Origins and Effects of Interruptions during Mobile Language LearningProceedings of Mensch und Computer 202110.1145/3473856.3473881(21-33)Online publication date: 5-Sep-2021
  • (2021)EyeTC: Attentive Terms and Conditions of Internet-Based Services with Webcam-Based Eye TrackingInformation Systems and Neuroscience10.1007/978-3-030-88900-5_13(112-119)Online publication date: 29-Oct-2021
  • (2021)The Effect of Personality Traits and Gender Roles on Consumer Channel ChoicesInnovation Through Information Systems10.1007/978-3-030-86790-4_12(147-163)Online publication date: 16-Oct-2021
  • (2021)Design of the Resumption and Prompt Interface for Online Meetings Under Automatic DrivingAdvances in Usability, User Experience, Wearable and Assistive Technology10.1007/978-3-030-80091-8_82(692-699)Online publication date: 8-Jul-2021
  • (2021)Designing Task Resumption Cues for Interruptions in Mobile Learning ScenariosTechnology-Augmented Perception and Cognition10.1007/978-3-030-30457-7_5(125-181)Online publication date: 5-Jan-2021
  • (2020)Climate Change and Work: Politics and PowerAnnual Review of Political Science10.1146/annurev-polisci-061418-09523623:1(111-131)Online publication date: 11-May-2020
  • (2020)A Handover Challenge of Data Analytics: Multi-user Issues in Sustainable Data AnalyticsAdvances in Internet, Data and Web Technologies10.1007/978-3-030-39746-3_39(373-383)Online publication date: 31-Jan-2020

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