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 TypePaper
AuthorsAndersen, Hans Jorgen (Author), Morrison, Ann (Author) and Knudsen, Lars (Author)
Journal or Proceedings TitleProceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design (NordiCHI '12)
Number of Pages4
Year2012
Place of PublicationNew York, United States
ISBN9781450314824
Digital Object Identifier (DOI)https://doi.org/10.1145/2399016.2399092
Web Address (URL) of Paperhttp://dl.acm.org/citation.cfm?doid=2399016.2399092
Conference/Event7th 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.

Keywordsvibro tactile signals, detection rates, identifying cross-impacting factors, logistic regression, method
ANZSRC Field of Research 2020460806. Human-computer interaction
Public Notes

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Byline AffiliationsAalborg University, Denmark
Institution of OriginUniversity of Southern Queensland
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