Engagement & Interaction

Teach­ers must be able to mon­i­tor stu­dents’ be­hav­ior and iden­tify valid cues in order to draw con­clu­sions about stu­dents’ ac­tual en­gage­ment in learn­ing ac­tiv­i­ties.

Ground truth data is an im­por­tant pre­req­ui­site for the de­vel­op­ment and eval­u­a­tion of many al­go­rithms in the area of com­puter vi­sion, es­pe­cially when these are based on con­vo­lu­tional neural net­works or other ma­chine learn­ing ap­proaches that un­fold their power mostly by su­per­vised learn­ing.

In this paper, we in­tro­duce Ey­e­Rec­Too, an open-source soft­ware for real-time per­va­sive head-mounted eye-track­ing.

Eye­trace is a tool for analy­sis of eye-track­ing data. It has the ap­proach to bunch a va­ri­ety of dif­fer­ent eval­u­a­tion meth­ods for a large share of eye track­ers sup­port­ing sci­en­tific work and med­ical di­ag­no­sis.

Head-mounted eye track­ing of­fers re­mark­able op­por­tu­ni­ties for re­search and ap­pli­ca­tions re­gard­ing per­va­sive health mon­i­tor­ing, men­tal state in­fer­ence, and human com­puter in­ter­ac­tion in dy­namic sce­nar­ios.

Vish­noo (Vi­sual Search Ex­am­i­na­tion Tool) is an in­te­grated frame­work that com­bines con­fig­urable search tasks with gaze track­ing ca­pa­bil­i­ties, thus en­abling the analy­sis of both, the vi­sual field and the vi­sual at­ten­tion.