User: Guest  Login
Title:

App Analytics: Predicting the Distraction Potential of In-vehicle Device Applications

Document type:
Konferenzbeitrag
Author(s):
Krause, M.; Conti, A. S.; Henning, M.; Seubert, C.; Heinrich, C.; Bengler, Klaus; Herrigel, C.; Glaser, D.
Non-TUM Co-author(s):
nein
Cooperation:
-
Abstract:
Three experiments were conducted to check the feasibility of predicting experimental outcomes of driver distraction studies. The predictions are based on subtasks analysis and synthesis. In the first experiment, data (e.g., Total Glance Time, Single Glance Durations and Total Shutter Open Times) are gathered when subjects interacted with touch screen applications. In a second experiment, additional data were gathered about rotary knob interactions. These data were used to synthesis and predict t...     »
Intellectual Contribution:
Discipline-based Research
Editor:
Ahram, T.; Karwowski, W.; Schmorrow, D.
Book / Congress title:
Proceedings of the 6th International Conference on Applied Human Factors and Ergonomics 2015 and the Affiliated Conferences (AHFE)
Congress (additional information):
Las Vegas, USA
Volume:
Vol. 3
Publisher:
Elsevier
Publisher address:
Amsterdam
Year:
2015
Month:
Jul
Pages:
2658--2665
Bookseries title:
Procedia manufacturing
Fulltext / DOI:
doi:10.1016/j.promfg.2015.07.627
Key publication:
Ja
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
Commissioned:
not commissioned
Interdisciplinarity:
Ja
Mission statement:
;
Ethics and Sustainability:
Nein
 BibTeX