Research Article

Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks

Table 4

Double-chunk patterns by direction.

PageDirectionPattern

P1B2A2  B2A3R  B2A4R
==B2B2  B3B3
A1A4 R  B2B3 R  
A2A4R  A3A4R  B2B1L  B2B5R  B3B2L  
B3B4R
A1D3R  B2C3R  B2C4R  B2D2  B2D3R  B3D3

P2B3A1L  B3A3
==B3B3  A1A1  B1B1  B2B2
B3B1 L  B1B3R  B3B2L
B3C2 L  B3C3  B3D2L  B3D3

P3B2A3 R  B2A2  C3A2L
==A2A2   B3B3  B2B2  C3C3
A1A2 R  A1A3 R  A2A3 R  B3B4 R
A3A2L  B2B3R  B3B2L  B3B5R  C2C1L
A1B3 R  A2B3R  A2B4 R  A2C3 R  
A1B2R  A1B4R  A1B5R  A1C3R  A1D2R
A2B2  A2B5R  A2D2  A2D3R  A2D5R
B2C3R  B3D2L  B3D3  C3D2L

P4(none)
==C3C3
C3C4 R  A2A3R  B3B4R  B3B5R  C3C2L
A2B4  
A2C4R  A3B4R  B2C3R  B3C3  B3C4R  C3D3

Note. The sequence directions are upward (), homogenous (==), horizontal (), and downward (). Underscored patterns were extracted at ms14. Those extracted at 16 are also emphasized in italicized bold face. Leftward and rightward sequences are marked by superscripts and , respectively.