University Presentation Showcase: Undergraduate Poster Gallery
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Creation Date
2021
Major
Psychology & Computer Science
Department
Psychology
Degree
Undergraduate
Mentor
Hung-Tao Michael Chen
Mentor Department
Psychology
Abstract
As computer-generated speech becomes a more widely used way to access information, it is important that we examine how voice-rendering type and users’ information processing framework may influence recall performance and cognitive trust ratings. Few studies so far have examined this interaction effect. In an online setting, 150 participants listened to a two-part audio lecture about airplane flight—one segment was presented by a classic voice engine and the other lecture segment was presented by a human voice. Participants then answered cued recall questions after each of the audio lectures and provided cognitive trust ratings. Participants also answered an attitude certainty survey for information processing that determined whether they process information more from a heuristic-based framework (HBF), an attribute-based framework (ABF), or a balanced framework. Our results indicated that voice type does affect cognitive trust ratings and the voice effect approached significance for recall performance. Information processing framework as well as voice and information processing framework together showed no effect on cognitive trust and recall performance. Our research further strengthens the argument that voice alone is an important factor to consider when designing educational materials. This research could have implications for the design of voice assistants, screen readers, and educational materials.
