Answer:
Human visual behavior often includes searching, scanning, and monitoring.
While it should be possible to moderate the performance of these tasks based on the dimensions used in the table, it is often useful to analyze these situations using Signal Detection Theory (SDT).
Three suggestions for my favourite search engine that includes search are:
1. ensure that search results are graded according to the following categories using different colours:
- Most accurate and relevant results;
- Accurate and slightly relevant results
- Fairly accurate and fairly relevant results
These can help the users identify more easily the results to spend more time on. This categorisation can be done using colours. This is because of the way the eye functions. Unlike a camera snapshot, for example, the eye does not capture everything in a scene equally, but selectively picks out salient objects and features from the current context, and focuses on them so they can be processed in more detail.
2. Another suggestion is that attention needs to be paid to where people look most of the time. It is not out of place for people to instinctively avoid search results that have dollar signs or currency signs especially when they are not searching for a commercial item.
3. Lastly in displaying results that have images, it best to use sharp images. The theory suggests with respect to contrast, clarity and brightness that sharper and more distinct objects appear to be nearer, and duller objects appear to be farther away. To elicit the interest of the reader, targeted results or information from search engines must make use of the factors of contrast, clarity and brightness.
Cheers!
