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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. Promising preliminary results collected during a decision-making task suggest that the speech to haptic mapping and vibration delivery mechanism employed does attenuate voice-related biases. Accordingly, it is anticipated that such a system could be introduced in the workplace to equalize people's contribution opportunities and to create a more inclusive environment by reversing voice-related biases.
Weill-Duflos, A., Al-Taha, F., Fortin, P., & Cooperstock, J. R. (2019). BarryWhaptics: Towards Countering Social Biases Using Real-Time Haptic Enhancement of Voice. In World Haptics Conference, Tokyo, Japan, June 2019.
Al Taha, F., Fortin, P. E., Weill--Duflos, A., & Cooperstock, J. (2018). Reversing Voice-Related Biases Through Haptic Reinforcement. In UIST 2018 - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings - UIST ’18 Adjunct (pp. 60–62). New York, New York, USA: ACM Press.https://doi.org/10.1145/3266037.3266101
Last updated: November 5, 2018