CamFi: An AI-driven and Camera-based System for Assisting Users in Finding Lost Objects in Multi-Person Scenarios
Ge Yan, Chao Zhang, Jiadi Wang, Xu Zheng, Jianhui Liu, Jintao Nie, Fangtian Ying, Cheng Yao · CHI Conference on Human Factors in Computing Systems Extended Abstracts · 2022
It is important to study how to help people quickly find misplaced objects. However, previous studies have focused on single-person scenarios without considering the influence of other people in public places. Based on the technology of object detection and face recognition, our system can help reduce the burden upon people's memory. It can provide useful information, whether the user forgets where the object is or because someone else has moved the object. The system includes a camera, processing server and smartphone application. To evaluate our approach, we conducted a quantitative and qualitative user study with participants (n=12). We demonstrated the usability of this system in helping users find misplaced items in public settings with multiple people.