CAPFF: A Context-Aware Assistant for Paper Form Filling

Jiangtao Wang, Yasha Wang, Yafei Wang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This paper introduces a context-aware system, named CAPFF, for helping people in filling paper forms, mainly in two contexts: 1) people have no idea of what should be filled in certain form fields; 2) people are not aware of the mistakes they are likely to commit in entering information, which may violate data entry constraints. In the offline phase, CAPFF provides a tool to build the knowledge about a given form, and such knowledge includes instructions, field-level examples, and constraints among form fields. In the online phase, when people set out to hill a paper form, the video camera of the system determines the position of the pen and then provides assistance, based on the user's form filling context. We evaluated CAPFF's performance through 450 paper form filling activities, and the results show that the proposed CAPFF is effective in terms of both accuracy and response time.
Original languageEnglish
Pages (from-to)903 - 908
Number of pages6
JournalIEEE Transactions on Human-Machine Systems
Issue number6
Publication statusPublished - Dec 2017
Externally publishedYes


  • Context-aware
  • paper form filling


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