Modeling vibrotactile detection by logistic regression

Andersen, Hans Jorgen and Morrison, Ann and Knudsen, Lars (2012) Modeling vibrotactile detection by logistic regression. In: 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design (NordiCHI '12), 14-17 Oct 2012, 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty / Department / School: No Faculty
Date Deposited: 06 Jul 2017 06:01
Last Modified: 16 Oct 2017 05:58
Uncontrolled Keywords: vibro tactile signals, detection rates, identifying cross-impacting factors, logistic regression, method
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
Identification Number or DOI: 10.1145/2399016.2399092
URI: http://eprints.usq.edu.au/id/eprint/31312

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