Reversing Voice-Related Biases using Haptic Reinforcement of Speech

Biased perceptions of others are known to negatively influence the outcomes of social and professional interactions in many regards. Theses biases can be informed by a multitude of non-verbal cues such as voice pitch and voice volume. This project explores how haptic effects, generated from speech, could attenuate listeners’ perceived voice-related biases formed from a speaker’s voice pitch.


(2018). Reversing Voice-Related Biases Through Haptic Reinforcement. The 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings - UIST ‘18 Adjunct.

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