1. 산업경영공학세미나 2009572014 김성엽 SNIF-ACT : A Cognitive Model of User Navigation on the World Wide Web World Wide Web

2. / 21 2 Contents Introduction Theory SNIF-ACT SNIF-ACT 1.0 SNIF-ACT 2.0 General Discussion 11 22 33 44 55 66

3. / 21 3 Introduction

4. / 21 4 Theory _Information Foraging

5. / 21 5 Theory _Information Foraging (continued)

6. / 21 6 SNIF-ACT _Declarative Knowledge & Procedural Knowledge

7. / 21 7 SNIF-ACT _Selection of Actions

8. / 21 8 SNIF-ACT 1.0 _Tasks and Users After installing a state of the art entertainment center in your den and replacing the furniture and carpeting, your redecorating is almost complete. All that remains to be done is to purchase a set of movie posters to hang on the walls. Find a site where you can purchase the set of four Antz movie posters depicting the princess, the hero, the best friend, and the general. You are the Chair of Comedic events for Louisiana State University in Baton Rouge, LA. Your computer has just crashed and you have lost several advertisements for upcoming events. You know that The Second City tour is coming to your theater in the spring, but you do not know the precise date. Find the date the comedy troupe is playing on your campus. Also find a photograph of the group to put on the advertisement.

9. / 21 9 SNIF-ACT 1.0 _Tasks and Users (Continued)

10. / 21 10 SNIF-ACT 1.0 _Utility Calculations

11. / 21 11 SNIF-ACT 1.0 _Results

12. / 21 12 SNIF-ACT 1.0 _Results

13. / 21 13 SNIF-ACT 2.0

14. / 21 14 SNIF-ACT 2.0 _Tasks and Users

15. / 21 15 SNIF-ACT 2.0 _Utility Calculations

16. / 21 SNIF-ACT 2.0 _Utility Calculations 16

17. / 21 17 SNIF-ACT 2.0 _Results

18. / 21 18 SNIF-ACT 2.0 _Results We then performed the same regression analyses as we did when we tested SNIF-ACT 2.0 predictions on link selection. We obtained R2 =.73 and.80 or the ParcWeb and Yahoo sites, respectively.

19. / 21 19 SNIF-ACT 2.0 _ResultsEasyEasy HardHardHard

20. / 21 20 General Discussion

21. / 21 21 General Discussion (continued) MESA (Miller & Remington, 2004) is intended to be a cognitive engineering model for calculating the time cost of navigation through alternative Web structures for given tasks. MESA does not have an automated way of computing link relevance (the information scent of links), requiring that modelers separately obtain ratings of stated references for links. Both of these concerns are addressed by the SNIF- ACT model. CoLiDes (Kitajima et al., 2005) is model of Web navigation that derives from Kintsch’s (1998) construction-integration cognitive architecture. This includes prediction of the total number of clicks to accomplish a goal (a measure of task difficulty), the identification of problems due to lack of familiar wording on Web pages, links that compete for attention, and links that have weak information scent.