Effect of Machine Translation in Interlingual Conversation: Lessons from a Formative Study

This prototype translator app helps to evaluate how users interact with spoken language translation technology and adapt their conversation style.

In this paper, Kotaro Hara and Shamsi T. Iqbal evaluate a prototype spoken language translator app to better understand how users interact with translation technology and how they adjust their conversation in response. 23 pairs of participants worked on storytelling tasks to simulate natural conversations in 3 different interface settings. The study’s findings suggest that people are well equipped to adapt in order to compensate for the shortcomings of translation apps. Design guidelines to accommodate the challenges of translations apps are included.

The full article is available here.