Name
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 user-adaptive vibrotactile displays. More generally the model shows potential for designing a variety of adaptive systems. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2399016.2399092 | NordiCHI |
Keywords | DocType | Citations |
logistic regression,cross-effecting factor,quantitative dataset,vibrotactile detection,outdoor experimental setting,instance vibrotactile information,user-adaptive vibrotactile display,adaptive system,future design,detection rate,linear regression type method,method | Conference | 4 |
PageRank | References | Authors |
0.59 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hans Jørgen Andersen | 1 | 167 | 19.41 |
| Ann Morrison | 2 | 314 | 29.64 |
| Lars R. Knudsen | 3 | 319 | 22.63 |