Exploring how gender-anonymous voice avatars influence women's performance in online computing group work

Dominic Kao; Syed T. Mubarrat; Amogh Joshi; Swati Pandita; Christos Mousas; Hai Ning Liang; Rabindra Ratan

doi:10.1016/j.ijhcs.2023.103146

Exploring how gender-anonymous voice avatars influence women's performance in online computing group work

Dominic Kao^*, Syed T. Mubarrat, Amogh Joshi, Swati Pandita, Christos Mousas, Hai Ning Liang, Rabindra Ratan

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

We investigate how gender-anonymous voice avatars influence women's performance in online computing group work. Female participants worked with two male confederates. Voices were filtered according to four voice gender anonymity conditions: (1) All unmasked, (2) Male confederates masked, (3) Female participant masked, and (4) All masked. When only male confederates used masked voices (compared to all unmasked), female participants spoke for a longer period of time and scored higher on computing problems. When everyone used masked voices (compared to all unmasked), female participants spoke for a longer period of time, spoke more words, and scored higher on computing problems. Effects were not significant on subjective measures and one behavioral measure. We discuss the implications for virtual interactions between people.

Original language	English
Article number	103146
Journal	International Journal of Human Computer Studies
Volume	181
DOIs	https://doi.org/10.1016/j.ijhcs.2023.103146
Publication status	Published - Jan 2024

Keywords

Audio
Avatar
Computing
Group work
Stereotype threat
Voice

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10.1016/j.ijhcs.2023.103146

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title = "Exploring how gender-anonymous voice avatars influence women's performance in online computing group work",

abstract = "We investigate how gender-anonymous voice avatars influence women's performance in online computing group work. Female participants worked with two male confederates. Voices were filtered according to four voice gender anonymity conditions: (1) All unmasked, (2) Male confederates masked, (3) Female participant masked, and (4) All masked. When only male confederates used masked voices (compared to all unmasked), female participants spoke for a longer period of time and scored higher on computing problems. When everyone used masked voices (compared to all unmasked), female participants spoke for a longer period of time, spoke more words, and scored higher on computing problems. Effects were not significant on subjective measures and one behavioral measure. We discuss the implications for virtual interactions between people.",

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doi = "10.1016/j.ijhcs.2023.103146",

language = "English",

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journal = "International Journal of Human Computer Studies",

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AU - Kao, Dominic

AU - Mubarrat, Syed T.

AU - Joshi, Amogh

AU - Pandita, Swati

AU - Mousas, Christos

AU - Liang, Hai Ning

AU - Ratan, Rabindra

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Exploring how gender-anonymous voice avatars influence women's performance in online computing group work

Abstract

Keywords

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