In addition to gaze direction, several behavioral cues could be integrated into the proctoring system to enhance the detection of potential cheating attempts. One significant cue is head movement analysis. By monitoring the test taker's head position and movement patterns, the system could identify unusual behaviors, such as frequent turning away from the screen or rapid head movements that may indicate distraction or consultation of external materials.
Another valuable cue is body language analysis. Utilizing computer vision techniques, the system could assess the test taker's posture and gestures. For instance, fidgeting, excessive leaning, or unusual hand movements could signal anxiety or attempts to access unauthorized resources.
Moreover, audio analysis could be beneficial. By capturing ambient sounds or vocalizations during the test, the system could detect conversations or noises that suggest collaboration or external assistance.
Finally, integrating keystroke dynamics could provide insights into the test taker's engagement level. Analyzing typing speed, rhythm, and patterns could help identify inconsistencies that may indicate cheating, such as unusually fast typing that does not match the test content.