Lies, damn lies and preferences: a Gaussian process model for ubiquitous thermal preference trials
This source preferred by Damien Fay
Authors: Fay, D.
Start date: 6 November 2012
Abstract This paper presents a study of user comfort levels using an ubiquitous interface.
The aim is to analyse the comfort function of an individual as opposed to previous approaches that look at the average human being. The data is analysed using Gaussian Process regression which allows several mechanisms to be exploited. These include regression on the data to give an estimate of a users comfort function. The prediction variance is also estimated and outlier influence can be reduced easily. In addition