1. Introduction

1.1 Background Information

The increase of computers in recent years has been contributed by peoples' great demand for information. One of the most common places to retrieve information is the internet. In order to make information retrieval on the internet efficient, indexes, menus and links must be carefully designed on each web page. Our experiment looks at the different ways in which links can be arranged. There are two styles which a web page designer can use to arrange his/her links, either emphasizing breadth, where a large number of links appear on each page or emphasizing depth, where a few links will appear per page, creating a tree structure which is narrow. We did not find any experiment published that looked at the structure and arrangement of web links, but we were able to find a lot of experiments comparing depth and breadth of menus. Since web pages are designed in such a way that the menu of the pages are spread out within the contents, we decided to follow the method of experimentation that was employed in these menu experiments.

1.2 Other Experiments

Kiger(1984) did an experiment that gave users five modes of varying menu designs. The menus were indexes to a database of some information. Subjects participating in the experiment were asked to find some piece of information in the database then to answer a questionnaire regarding the experiment. The results of the experiment showed that, the time and number of errors increased with the depth of the menu structure. The participants ranked the menus with greater depth as the least favorable.

An experiment by Jacko and Salvendy (1996) showed that people consider deep menu structures as complex. Their study showed that, as the depth of the menu increases so does the users perception that the task of retrieving information using the menu increases. This could be accredited to short term memory load and the existing theory of task complexity.

The theory of task complexity in relation to hierarchical menu designers is greatly discussed in Jacko and Salvendy (1996)s paper. The paper referees Frese (1987) which indicates complexity is determined by the number of decisions that have to be made and by the relationships among those decisions. With this understanding of complexity combined with the results of their study it shows that as menu depth increases, complexity may also increase. And since complexity increase response time and decreases accurate responses, minimizing complexity by creating less depth structured trees might cause a better response time in searching databases or the internet. In his book, The Psychology of Menu Selection Kent Norman suggests that the organization or naming of the indices or menus plays an important part in the users response time. By using a well organized menu structure, the response time can be reduced with much broader menus.Norman also suggests that mixing depth and breadth might be the best alternatives. Menus which are broader at the top or at the bottom give the user a wide range of alternatives at the points of the searching when the user will tend to make more mistakes. In selecting the wrong path while using these menu design, the user will need to go back only one level in the hierarchy in order to view the menu which will contain the correct alternative. Response time will me reduced because, less time is spent searching for the correct paths. If the middle section is broad it tends to hinder the search. It is in the middle section that search needs to be focused so as to reduce the probability of path errors. Our study takes the design of these experiments on menu structures and implements an internet experiment to show that just like in menu structures, breadth will have an advantage over depth in the design of web page links.

1.3 Commercial Systems

In commercial systems, there is no clear cut as to which design people have implemented more frequently. We took a look at two different commercial designers of web pages that were in the same industry . The sites we chose were those of Brown University and University of Maryland . We did not ask our subjects to test these web pages, but we test them ourselves. We selected an information finding task and searched for the appropriate information on both sites. It took us 7 links two of them being errors to find the information on University of Maryland and only 2 links and with no errors with Brown. The significant difference was due to the fact that Brown University's web page had a lot of breadth and very little depth. The fist page has 63 links. The other pages have less links, but you rarely go more than 3 links to reach the information you need. On the other hand, University of Maryland page had an average of 13 links per page and some information could be found as beep as 13 links. The University of Maryland pages though not very narrow, all the information is buried very deep in the hierarchy, which makes searching of information difficult. This observation showed us that like menu hierarchy, a large depth in a web design may lead to more errors and a longer search time on the internet.


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