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EU_LAW_INFO	OCLC	Is set when the user has acknowledged the usage of cookies in OPEN.	10 years after creation
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ASP.NET_SessionId	ASP.NET	Identifies the session of ASP.NET.	Session
authentication	OCLC	Saves the registration way of the patron. DNN (= DNN Login), COP (= OPEN Login) "" (= Patron is not logged in)	Session
dnn_IsMobile	DNN	The cookie stores whether the user uses a mobile device (e.g. a smartphone).	Session
languague	DNN	The cookie stores the currently set language (e.g. de-DE).	Session
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SplashPageView	DNN	The cookie controls the single display of the welcome page.	Session
RepeaterCategories, RepeaterGroup	DNNGo	Cookies of the DNN module xPlugin, for layout configuration.	Session

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List of all settings cookies of OPEN:	OCLC	The cookies control the unfolded/closed - status of the different settings sections as well as the visibility of the headers.	Session
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Developing a Highly Automated Driving Scenario to Investigate User Intervention

When Things Go Wrong : article in Adjunct Proceedings of the 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’17)

Year: 2017

Publisher: New York, ACM

Media group: ARTICLE

Understanding systems that are designed to support human cognition

article : Rethinking Interaction - CHI 2018 workshop

Year: 2018

Publisher: exSitu

Media group: ARTICLE

Ubiquitous Gaze Sensing and Interaction; 8,6

pp. 77-148

Year: 2019

Publisher: Wadern, LZI

Parent work: Dagstuhl Reports

Count: 8,6

Media group: DAGSTUHL REPORT

Ambient Notification Environments; 4

pp. 38-82

Year: 2017

Publisher: Wadern, LZI

Parent work: Dagstuhl Reports

Count: 4

Media group: DAGSTUHL REPORT

1st Workshop on Understanding Automation

Interfaces that Facilitate User Understanding of Vehicle Automation : article in Adjunct Proceedings of the 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’17)

Year: 2017

Publisher: New York, ACM

Media group: ARTICLE

Feel the Movement

Real Motion Influences Responses to Take-over Requests in Highly Automated Vehicles : article No. 246 in CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Year: 2018

Publisher: New York, ACM

Media group: ARTICLE

Assisting Drivers with Ambient Take-Over Requests in Highly Automated Driving

article in Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’16)

Year: 2016

Publisher: New York, ACM

Media group: ARTICLE

Eye Tracking and Visualization

Foundations, Techniques, and Applications : ETVIS 2015

Year: 2017

Publisher: Heidelberg, Springer

Series: Mathematics and visualization

Media group: MONOGRAPHIE

A Hidden Markov Framework to Capture Human–Machine Interaction in Automated Vehicles

article

Year: 2019

Publisher: London, Taylor & Francis

Series: International Journal of Human–Computer Interaction; 2019

Media group: ARTICLE

Tutorial on Design and Evaluation Methods for Attention Directing Cues

article in Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular, Applications (AutomotiveUI ’16)

Year: 2016

Publisher: New York, ACM

Media group: ARTICLE

OPEN V 11.1.0.0

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Developing a Highly Automated Driving Scenario to Investigate User Intervention

Understanding systems that are designed to support human cognition

Ubiquitous Gaze Sensing and Interaction; 8,6

Ambient Notification Environments; 4

1st Workshop on Understanding Automation

Feel the Movement

Assisting Drivers with Ambient Take-Over Requests in Highly Automated Driving

Eye Tracking and Visualization

A Hidden Markov Framework to Capture Human–Machine Interaction in Automated Vehicles

Tutorial on Design and Evaluation Methods for Attention Directing Cues

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Developing a Highly Automated Driving Scenario to Investigate User Intervention

Understanding systems that are designed to support human cognition

Ubiquitous Gaze Sensing and Interaction; 8,6

Ambient Notification Environments; 4

1st Workshop on Understanding Automation

Feel the Movement

Assisting Drivers with Ambient Take-Over Requests in Highly Automated Driving

Eye Tracking and Visualization

A Hidden Markov Framework to Capture Human–Machine Interaction in Automated Vehicles

Tutorial on Design and Evaluation Methods for Attention Directing Cues