User　feedback　is　valuable　for　the　continued　development　of　the　system.　Most　of　the　user　feedback　analyzed　today　is　explicit,　such　as　app　reviews.　However,　many　users　are　reluctant　to　provide　this　explicit　feedback,　which　costs　them　extra　time.　In　this　paper,　we　present　an　ongoing　study,　which　investigates　eye　movement　patterns　with　the　purpose　of　automatically　collecting　users＇　implicit　feedback.　Specifically,　we　establish　the　semantic　connection　between　eye　movements　and　users＇　perceptions　based　on　cognitive　and　empirical　evidence.　Our　proposed　approach　can　thus　systematically　assess　the　satisfaction　of　six　non-functional　requirements,　quietly　unveiling　users＇　needs　for　the　software　they　use.　Finally,　we　design　an　evaluation　plan　in　order　for　assessing　the　effectiveness　of　our　approach.