Modeling vibrotactile detection by logistic regression

H.J. Andersen; Ann Morrison; L. Knudsen

doi:10.1145/2399016.2399092

Modeling vibrotactile detection by logistic regression

H.J. Andersen, Ann Morrison, L. Knudsen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

9 Citations (Scopus)

451 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 7th Nordic Conference on Human-Computer Interaction : NordiCHI 2012: Making Sense Through Design -
Number of pages	4
Publisher	Association for Computing Machinery (ACM)
Publication date	1 Jan 2012
Pages	500-503
ISBN (Print)	978-1-4503-1482-4
DOIs	https://doi.org/10.1145/2399016.2399092
Publication status	Published - 1 Jan 2012
Event	NordiCHI - IT University of Copenhagen, København, Denmark Duration: 14 Oct 2012 → 17 Oct 2012

Conference

Conference	NordiCHI
Location	IT University of Copenhagen
Country/Territory	Denmark
City	København
Period	14/10/2012 → 17/10/2012

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Modelling Vibrotactile detectionSubmitted manuscript, 786 KB

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Modeling vibrotactile detection by logistic regression. / Andersen, H.J.; Morrison, Ann; Knudsen, L.
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: NordiCHI 2012: Making Sense Through Design - . Association for Computing Machinery (ACM), 2012. p. 500-503.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Modeling vibrotactile detection by logistic regression

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