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Top-Down and Bottom-Up Processes in Web Search Navigation

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target category, bypass<strong>in</strong>g l<strong>in</strong>k evaluation altogether. These<br />

f<strong>in</strong>d<strong>in</strong>gs are consistent with the possibility that participants<br />

generated their own category names through top-down<br />

process<strong>in</strong>g prior to carry<strong>in</strong>g out the search process.<br />

Given the equivalent <strong>and</strong> overall fast selections <strong>in</strong> the two<br />

category-unambiguous conditions, it is reasonable to believe<br />

that participants generated their own category names even <strong>in</strong><br />

the absence of them based on their knowledge of the<br />

descriptions <strong>and</strong> the <strong>in</strong>formation architecture. In contrast,<br />

use of a bottom-up strategy seems implausible for the faster<br />

selection times (i.e. < 3 seconds). After account<strong>in</strong>g for page<br />

refresh, mouse movement <strong>and</strong> l<strong>in</strong>k selection, little time<br />

rema<strong>in</strong>s for an item-by-item evaluation of the category<br />

labels, which must take at least 230 ms per l<strong>in</strong>k to account<br />

for the time needed for each eye movement (Card, Moran,<br />

& Newell, 1983).<br />

The present f<strong>in</strong>d<strong>in</strong>gs also suggest that the presence of<br />

category names facilitates category selection at least when<br />

the search target does not have a clear category selection. In<br />

these cases, the participants may still use the more efficient<br />

top-down strategy, rely<strong>in</strong>g on the category name <strong>in</strong> the<br />

description to perform the visual search for its physical<br />

properties. Category ambiguity still <strong>in</strong>curs a greater time<br />

cost, possibly to confirm category membership or consider<br />

alternate categories before mak<strong>in</strong>g the selection.<br />

Not surpris<strong>in</strong>gly, the trial number was a significant factor<br />

for the amount of time used to select a l<strong>in</strong>k. In particular, the<br />

selection time decreased with the number of trials. This<br />

result is consistent with <strong>in</strong>creased use of top-down strategies<br />

as users become more familiar with the categories <strong>and</strong> their<br />

location on the page.<br />

The presence of efficient top-down strategies has<br />

implications for the effective design of web pages <strong>and</strong> menu<br />

systems. In applied web design usability research, the<br />

superord<strong>in</strong>ate category names are sometimes referred to as<br />

“trigger words” to signify <strong>in</strong> a post-hoc manner their be<strong>in</strong>g a<br />

user’s <strong>in</strong>ternally formulated search goal <strong>and</strong> trigger<strong>in</strong>g a<br />

selection response from the user (Spool, Perfetti, & Brittan,<br />

2004). To the extent that users form key “trigger words” <strong>and</strong><br />

then scan for their physical properties, care must be taken to<br />

<strong>in</strong>clude these words <strong>in</strong> the selection labels. Otherwise, users<br />

may miss the targeted selection even if its label is highly<br />

relevant to the user’s <strong>in</strong>formation goal. This consideration is<br />

consistent with Spool’s advice of identify<strong>in</strong>g common<br />

trigger words for users <strong>and</strong> <strong>in</strong>clud<strong>in</strong>g them <strong>in</strong> l<strong>in</strong>k labels.<br />

Certa<strong>in</strong>ly any postulation of dichotomy is prone to<br />

oversimplification. The question is whether mak<strong>in</strong>g such a<br />

dist<strong>in</strong>ction is useful <strong>in</strong> the underst<strong>and</strong><strong>in</strong>g of different<br />

mixture of processes that may go on <strong>in</strong> l<strong>in</strong>k-based search.<br />

Although computational model<strong>in</strong>g <strong>in</strong> web search has seen<br />

great improvements, empirical <strong>in</strong>vestigation of the issue <strong>in</strong><br />

our op<strong>in</strong>ion is still lack<strong>in</strong>g. The present research represents a<br />

step <strong>in</strong> f<strong>in</strong>d<strong>in</strong>g factors that elicit top-down process<strong>in</strong>g <strong>and</strong><br />

measures that <strong>in</strong>dicate when top-down process<strong>in</strong>g occurs.<br />

1853<br />

Acknowledgments<br />

This work was funded by grant NNA06CA99A from<br />

NASA’s Human Research Program. We are <strong>in</strong>debted to Jim<br />

Lofton who developed the "UI Nav Test" web application,<br />

which we used to adm<strong>in</strong>ister our navigation studies. We also<br />

thank Paul Roth, Mike Niebl<strong>in</strong>g, Ben Burton, Nils Hanson,<br />

Dev<strong>in</strong> Carter <strong>and</strong> Anna Eskra for test<strong>in</strong>g <strong>and</strong> comment<strong>in</strong>g<br />

on prelim<strong>in</strong>ary versions of the web application, Jaymie<br />

Massoletti for assistance with data analysis, Usha<br />

Viswanathan for participants recruit, <strong>and</strong> Joel Lachter for<br />

equipment setup.<br />

References<br />

Card, S. K., Moran, T.P. & Newell, A. (1983). The<br />

Psychology of Human-Computer Interaction. Hillsdale,<br />

NJ: LEA.<br />

Fleetwood, M. D., & Byrne, M. D. (2006). Model<strong>in</strong>g the<br />

visual search of displays: A revised ACT-R model of icon<br />

search based on eye-track<strong>in</strong>g data. Human-Computer<br />

Interaction, 21, 153-197.<br />

Fu, W.-T., <strong>and</strong> Pirolli, P. (2007). SNIF-ACT: A cognitive<br />

model of user navigation on the World Wide <strong>Web</strong>.<br />

Human-Computer Interaction, 22, 355-412..<br />

Hornof, A. J. (2004). Cognitive strategies for the visual<br />

search of hierarchical computer displays. Human-<br />

Computer Interaction, 19, 183-223.<br />

Kitajima, M., Blackmon, M.H., <strong>and</strong> Polson, P.G. (2000). A<br />

comprehension-based model of web navigation <strong>and</strong> its<br />

application to web usability analysis. In S. McDonald, Y.<br />

Waern, & G. Cockton (Eds.), People <strong>and</strong> Computers XIV<br />

– Usability or Else: Proceed<strong>in</strong>gs of HCI 2000 (pp. 357-<br />

373). London: Spr<strong>in</strong>ger.<br />

Miller, C. S., Fuchs, S., Anantharaman, N., & Kulkarni, P.<br />

(2007). Compar<strong>in</strong>g two methods for predict<strong>in</strong>g navigation<br />

problems <strong>in</strong> <strong>in</strong>formation hierarchies. Human Factors <strong>and</strong><br />

Ergonomics Society Annual Meet<strong>in</strong>g Proceed<strong>in</strong>gs (pp.<br />

363-367). Santa Monica, CA: HFES.<br />

Miller, C. S., <strong>and</strong> Rem<strong>in</strong>gton, R.W. (2004). Model<strong>in</strong>g<br />

<strong>in</strong>formation navigation: Implications for <strong>in</strong>formation<br />

architecture. Human-Computer Interaction, 19, 225-271.<br />

S<strong>in</strong>ger, J. D. (1998). Us<strong>in</strong>g SAS PROC MIXED to fit<br />

multilevel models, hierarchical models, <strong>and</strong> <strong>in</strong>dividual<br />

growth models. Journal of Educational <strong>and</strong> Behavioral<br />

Statistics, 23, 323-355.<br />

Spool, J. M., Perfetti, C., & Brittan, D. (2004). Design<strong>in</strong>g<br />

for the scent of <strong>in</strong>formation. North Andover, MA: User<br />

Interface Eng<strong>in</strong>eer<strong>in</strong>g.

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