Infrared　(IR)　passive　detection　technology　is　widely　utilized　for　identifying　small　targets　over　long　distances,　owing　to　its　robust　anti-interference　capabilities　and　all-weather　functionality.　As　of　now,　numerous　IR　small　target　detection　algorithms　have　been　publicly　published.　To　promote　research　in　this　field,　this　paper　first　briefly　introduces　single　IR　small　target　detection　algorithms,　which　are　primarily　categorized　as　model-driven　and　data-driven.　Subsequently,　the　paper　presents　human-computer　interaction　(HCI)　systems　tailored　to　these　two　algorithm　categories,　incorporating　a　total　of　20　existing　model-driven　algorithms　and　15　data-driven　algorithms,　respectively.　Ultimately,　the　paper　delves　into　potential　avenues　for　optimizing　HCI　system　design.　The　proposed　IR　small　target　detection　HCI　systems　not　only　improve　user-friendliness,　but　also　provide　a　benchmark　platform　for　experimental　comparison.　The　introduction　of　relevant　HCI　systems　can　be　found　on　kourenke/GUI-system-for-IR-small-target-detection　(github.com).　©　2024　ACM.