Personalized mobile rapid sentence reading with multi-lingual extension
Toshiyuki Maeda, Masumi Yajima, Akiyoshi Wakatani · 2017
This paper addresses a multi-lingual enhanced Rapid Serial Visual Presentation (RSVP) system “MulLinR”, which clears up language-specific problems of previous RSVP tools, which do not support language which are written continuously (non-spaced) and spelled with non-alphabetic characters. We develop a prototype system, which currently supports Japanese and Chinese, and experiment with variation of presentation time intervals. We have experiments as a feasibility study and discuss usability.