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Adaptive Automation through Interactive Visualization

Published: 10 September 2019 Publication History

Abstract

My main research question is how adaptive automation through interactive visualization can be used to improve human-automation collaboration. The research is performed in a cross-domain project including air traffic control, train control, and vessel traffic service, where I mainly focus at air traffic control. All domains are safety critical, include highly complex control room environments, and are facing increasing automation with thereby associated challenges. Adaptive automation by sensing the operator is one approach to mitigate potential automation problems. The first studies will be performed using a prototype with a graphical representation of an automated conflict detection tool where the operator gets visual attention support based on eye tracker data. Different concepts of information visualization feedback will be explored. A literature review on adaptive automation indicated that the projects approach is novel in its combination of adaptive automation, information visualization, and by its cross-domain nature. Finding the best ways of taking advantage of the cross-domain approach, how to get access to operative environments and operators, and how to find effective, yet unobtrusive, sensors are some of the identified challenges.

References

[1]
Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski. 2011. Visualization of Time-Oriented Data. User modelling- Springer Berlin Heidelberg.
[2]
Lisanne Bainbridge. 1983. Ironies of automation. Automatica.
[3]
Jonas Lundberg. 2015. Situation awareness systems, states and processes: a holistic framework. Theoretical Issues in Ergonomics Science, 16(5), 447–473.
[4]
Jonas Lundberg, Jimmy Johansson, Camilla Forsell, Billy Josefsson. 2014. The Use of Conflict Detection Tools in Air Traffic Management – an Unobtrusive Eye Tracking Field Experiment During Controller Competence Assurance Air Navigation Services of Sweden. HCI Aero 2014 - International Conference on Human-Computer Interaction in Aerospace.
[5]
Jonas Lundberg, Magnus Nylin, Billy Josefsson, 2016. Challenges for research and innovation in design of digital ATM controller environments: An episode analysis of six simulated traffic situations at Arlanda airport. In 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC). Sacramento, CA.
[6]
Nadine B. Sarter, David D Woods, D, Charles E Billings. 1997. AUTOMATION SURPRISES. Handbook of Human Factors & Ergonomics.
[7]
Robert Spence. 2014. Information Visualization - An Introduction (3rd ed.). Springer International Publishing.

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cover image ACM Other conferences
ECCE '19: Proceedings of the 31st European Conference on Cognitive Ergonomics
September 2019
231 pages
ISBN:9781450371667
DOI:10.1145/3335082
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2019

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Author Tags

  1. Adaptive automation
  2. air traffic control
  3. human-automation collaboration
  4. information visualization

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  • Short-paper
  • Research
  • Refereed limited

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ECCE 2019
ECCE 2019: 31st European Conference on Cognitive Ergonomics
September 10 - 13, 2019
BELFAST, United Kingdom

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Overall Acceptance Rate 56 of 91 submissions, 62%

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