Feras Al Taha, Pascal E. Fortin, Antoine Weill--Duflos, J. Cooperstock
{"title":"Reversing Voice-Related Biases Through Haptic Reinforcement","authors":"Feras Al Taha, Pascal E. Fortin, Antoine Weill--Duflos, J. Cooperstock","doi":"10.1145/3266037.3266101","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":208006,"journal":{"name":"Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology","volume":"120-121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3266037.3266101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.