The following table provides guidelines for selecting methods and method combinations for analyzing eye movement data depending on the analysis tasks. The tasks are listed in the first column. The second column specifies the size of the data set or subset for which the methods listed in the third column can be effective. In most cases the size is specified in terms of the number of users whose eye trajectories are analyzed; however, in some cases it is the number of user groups or the number of different displays (visual stimuli), for which the eye movements are compared. The visual analytics methods are listed in the third column. Each method is represented by its name and an image. Clicking on the name or image opens the page with an illustrated description of the method. The last column contains references to relevant papers, which are listed below the table.
Some of the methods involve data transformations, such as generalization and aggregation. Before applying various analysis methods, it may be useful to transform temporal references in the data.
Tasks | N of users | Methods | References | ||||
Overall spatial pattern of movements; relation to display content or structure |
multiple |
|
[1] [2] | ||||
General character of movements; individual spatial pattern of movements; relation to display content or structure; individual search strategy |
1-few |
|
[3] [4] | ||||
Spatial pattern of attention distribution; relation of attention foci to display content or structure; repeated visits |
1-multiple |
Attention map (AM) |
[3] | ||||
Relation of movements to particular AOIs; Returns to previous points; places where users have difficulties |
1-multiple |
|
[5] | ||||
Connections between AOIs Presence and frequency of repeated moves |
1-multiple |
Flow map (FM) |
[3] | ||||
Comparison of trajectories | few |
|
[4] | ||||
Comparison of trajectories | multiple |
Path similarity analysis (PSA) |
[6] | ||||
Comparison of spatial patterns of movements of different users or user groups | few users or few groups |
Multiple flow maps (MFM) Flow maps of differences (FMD) |
[2] | ||||
Comparison of spatial patterns of attention of different users or user groups | few users or few groups |
Multiple attention maps (MAM) Attention maps of differences (AMD) |
[2] | ||||
Comparison of spatial patterns of eye movements on different displays | 1 – multiple users; few displays |
Juxtaposed flow maps (JFM) |
|||||
Comparison of attention distributions on different displays | 1 – multiple users; few displays |
Juxtaposed attention maps (JAM) |
|||||
Progression of eye movements over time; general search strategy; types of activities and their temporal order | 1 – multiple |
Multiple flow maps (MFM) Time clustering by similarity of flows (CTF) |
[2] | ||||
Changes of attention distribution over time | 1 – multiple |
Multiple attention maps (MAM) Time clustering by similarity of attention distribution (CTA) |
[2] | ||||
Frequent/typical sequences of attending AOIs; cyclic scanning behaviors | multiple |
Discovery of frequent sequences of area visits (FSD) |