Conventional face navigation systems focus on finding new faces via facial features.
Though intuitive, this method has limitations. Notably, it is geared
toward finding distinctive features, and hence, does not work as effectively on
"typical" faces. We present an alternative approach to searching and navigating
through an overall face configuration space. To do so, we implemented an interface
that shows gradients of faces arranged spatially using an n-dimensional
norm-based face generation method. Because our interface allows users to observe
faces holistically, facial composition information is not lost during searching,
an advantage over face component methods.
We compare our gradient based face navigation system with a typical, static,
slider-based system in a navigation task. Then we compare it with a hybrid dynamic
slider system. Results from our first pilot study show that our method
is more effective at allowing users to concentrate on face navigation when compared
with a static slider interface. This is helpful for face matching tasks as it
reduces the number of times users must re-examine faces. Results from our second
pilot study suggest that our interface is slightly more effective in coping with
correlated navigation axes when compared with a dynamic slider interface. Our
third pilot and the formal experiment confirm that while slider-based interfaces
are more suited for converging to proximity to the target face, gradient-based interfaces are better for refinement.
While it may be counter-intuitive that sliders, which are commonly used as interfaces for colour navigation, are inadequate for face matching tasks, our
results suggest that new interfaces, such as our gradient-based system and dynamic
sliders, are useful for navigation in higher dimensional face space.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/14355 |
| Date | 11 1900 |
| Creators | Chen, Tzu-Pei Grace |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Relation | UBC Retrospective Theses Digitization Project [http://www.library.ubc.ca/archives/retro_theses/] |
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