Modeling vibrotactile detection by logistic regression

Paper

Andersen, Hans Jorgen, Morrison, Ann and Knudsen, Lars. 2012. "Modeling vibrotactile detection by logistic regression." 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design (NordiCHI '12). Copenhagen, Denmark 14 - 17 Oct 2012 New York, United States. https://doi.org/10.1145/2399016.2399092

Paper/Presentation Title	Modeling vibrotactile detection by logistic regression
Presentation Type	Paper
Authors	Andersen, Hans Jorgen (Author), Morrison, Ann (Author) and Knudsen, Lars (Author)
Journal or Proceedings Title	Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design (NordiCHI '12)
Number of Pages	4
Year	2012
Place of Publication	New York, United States
ISBN	9781450314824
Digital Object Identifier (DOI)	https://doi.org/10.1145/2399016.2399092
Web Address (URL) of Paper	http://dl.acm.org/citation.cfm?doid=2399016.2399092
Conference/Event	7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design (NordiCHI '12)
Event Details	7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design (NordiCHI '12) Parent Nordic Conference on Human-Computer Interaction Event Date 14 to end of 17 Oct 2012 Event Location Copenhagen, Denmark
Abstract	In this study we introduce logistic regression as a method for modeling, in this case the user's detection rate, to more easily show cross-effecting factors, necessary in order to design an adaptive system. Previously such effects have been investigated by a variety of linear regression type methods but these are not well suited for developing adaptive systems. We investigate the method on a qualitative and quantitative dataset with ages spanning from seven to 79 years under indoor and outdoor experimental settings. The results show that the method is indeed a suitable candidate for quantification of, in this instance vibrotactile information, and for the future design of useradaptive vibrotactile displays. More generally the model shows potential for designing a variety of adaptive systems. Copyright © 2012 ACM.
Keywords	vibro tactile signals, detection rates, identifying cross-impacting factors, logistic regression, method
ANZSRC Field of Research 2020	460806. Human-computer interaction
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.
Byline Affiliations	Aalborg University, Denmark
Institution of Origin	University of Southern Queensland

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