Barab, S.A.; Bowdish, B.E.; Lawless, K.A.: Hypermedia navigation : profiles of hypermedia users (1997)
0.00
0.0029745363 = product of:
0.011898145 = sum of:
0.011898145 = weight(_text_:information in 97) [ClassicSimilarity], result of:
0.011898145 = score(doc=97,freq=8.0), product of:
0.06134496 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.034944877 = queryNorm
0.19395474 = fieldWeight in 97, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=97)
0.25 = coord(1/4)
- Abstract
- In this study we explored the use of logfiles as a window into the process of hypermedia navigation. Although there is a growing body of research addressing theoretical and design issues related to open-ended, non-directive technologies such as hypermedia, relatively few studies have attempted to explain navigational performance. 66 undergraduate students used a multidimensional, computer-based kiosk that could be explored in a nonlinear fashion to find information in response to one of two information retrieval tasks (simple or complex). Cluster analysis was used to generate performance profiles derived from navigational data captured in log files. Analyses of within cluster performance profiles, combined with external validation criteria, led to the classification of 4 different types of navigational performance (models users, disenchanted volunteers, feature explorers, and cyber cartographers). These characterizations were consistent with information retrieval users and the external criteria (self-efficacy, perceived utility, and interest). For example, individual who appeared to fake the time to learn the layout of the kiosk also had the highest self-efficacy, while those who used the help screen and watched the most movies had the lowest self-efficacy. Results also demonstrated an interaction between various individual navigational profiles and type information retrieval task
