Modeling vibrotactile detection by logistic regression

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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

8 Citations (Scopus)
427 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 languageEnglish
Title of host publicationProceedings of the 7th Nordic Conference on Human-Computer Interaction : NordiCHI 2012: Making Sense Through Design -
Number of pages4
PublisherAssociation for Computing Machinery
Publication date1 Jan 2012
Pages500-503
ISBN (Print)978-1-4503-1482-4
DOIs
Publication statusPublished - 1 Jan 2012
EventNordiCHI - IT University of Copenhagen, København, Denmark
Duration: 14 Oct 201217 Oct 2012

Conference

ConferenceNordiCHI
LocationIT University of Copenhagen
Country/TerritoryDenmark
CityKøbenhavn
Period14/10/201217/10/2012

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