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Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

2020

University of Central Florida

Communication

Human-Machine Communication

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Interlocutors And Interactions: Examining The Interactions Between Students With Complex Communication Needs, Teachers, And Eye-Gaze Technology, Rhonda Mcewen, Asiya Atcha, Michelle Lui, Roula Shimaly, Amrita Maharaj, Syed Ali, Stacie Carroll Feb 2020

Interlocutors And Interactions: Examining The Interactions Between Students With Complex Communication Needs, Teachers, And Eye-Gaze Technology, Rhonda Mcewen, Asiya Atcha, Michelle Lui, Roula Shimaly, Amrita Maharaj, Syed Ali, Stacie Carroll

Human-Machine Communication

This study analyzes the role of the machine as a communicative partner for children with complex communication needs as they use eye-tracking technology to communicate. We ask: to what extent do eye-tracking devices serve as functional communications systems for children with complex communication needs? We followed 12 children with profound physical disabilities in a special education classroom over 3 months. An eye-tracking system was used to collect data from software that assisted the children in facial recognition, task identification, and vocabulary building. Results show that eye gaze served as a functional communication system for the majority of the children. We …


Ontological Boundaries Between Humans And Computers And The Implications For Human-Machine Communication, Andrea L. Guzman Feb 2020

Ontological Boundaries Between Humans And Computers And The Implications For Human-Machine Communication, Andrea L. Guzman

Human-Machine Communication

In human-machine communication, people interact with a communication partner that is of a different ontological nature from themselves. This study examines how people conceptualize ontological differences between humans and computers and the implications of these differences for human-machine communication. Findings based on data from qualitative interviews with 73 U.S. adults regarding disembodied artificial intelligence (AI) technologies (voice-based AI assistants, automated-writing software) show that people differentiate between humans and computers based on origin of being, degree of autonomy, status as tool/tool-user, level of intelligence, emotional capabilities, and inherent flaws. In addition, these ontological boundaries are becoming increasingly blurred as technologies emulate …