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

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

Access to Document

10.1016/j.ijhcs.2023.103146

Cite this

@article{fe78278a4d004b63b954f00ebdf73072,

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.",

keywords = "Audio, Avatar, Computing, Group work, Stereotype threat, Voice",

author = "Dominic Kao and Mubarrat, {Syed T.} and Amogh Joshi and Swati Pandita and Christos Mousas and Liang, {Hai Ning} and Rabindra Ratan",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",

year = "2024",

month = jan,

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

language = "English",

volume = "181",

journal = "International Journal of Human Computer Studies",

issn = "1071-5819",

}

TY - JOUR

T1 - Exploring how gender-anonymous voice avatars influence women's performance in online computing group work

AU - Kao, Dominic

AU - Mubarrat, Syed T.

AU - Joshi, Amogh

AU - Pandita, Swati

AU - Mousas, Christos

AU - Liang, Hai Ning

AU - Ratan, Rabindra

PY - 2024/1

Y1 - 2024/1

N2 - 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.

AB - 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.

KW - Audio

KW - Avatar

KW - Computing

KW - Group work

KW - Stereotype threat

KW - Voice

UR - http://www.scopus.com/inward/record.url?scp=85173453649&partnerID=8YFLogxK

U2 - 10.1016/j.ijhcs.2023.103146

DO - 10.1016/j.ijhcs.2023.103146

M3 - Article

AN - SCOPUS:85173453649

SN - 1071-5819

VL - 181

JO - International Journal of Human Computer Studies

JF - International Journal of Human Computer Studies

M1 - 103146

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this