14thAnnual Conference of the International Speech Communication Association

Lyon, France
August 25-29, 2013

Analyzing Eye-Voice Coordination in Rapid Automatized Naming

Daniel Bone (1), Chi-Chun Lee (1), Vikram Ramanarayanan (1), Shrikanth Narayanan (1), Renske S. Hoedemaker (2), Peter C. Gordon (2)

(1) University of Southern California, USA
(2) University of North Carolina, USA

Rapid Automatized Naming (RAN) is a powerful tool for predicting future reading skill. A person's ability to quickly name symbols as they scan a table is related to higher-level reading proficiency in adults and is predictive of future literacy gains in children. However, noticeable differences are present in the strategies or patterns within groups having similar task completion times. Thus, a further stratification of RAN dynamics may lead to better characterization and later intervention to support reading skill acquisition. In this work, we analyze the dynamics of the eyes, voice, and the coordination between the two during performance. It is shown that fast performers are more similar to each other than to slow performers in their patterns, but not vice versa. Further insights are provided about the patterns of more proficient subjects. For instance, fast performers tended to exhibit smoother behavior contours, suggesting a more stable perception-production process.

Full Paper

Bibliographic reference.  Bone, Daniel / Lee, Chi-Chun / Ramanarayanan, Vikram / Narayanan, Shrikanth / Hoedemaker, Renske S. / Gordon, Peter C. (2013): "Analyzing eye-voice coordination in rapid automatized naming", In INTERSPEECH-2013, 2425-2429.