Some users express frustration with regard to virtual assistants due to their lack of perceived competence. To address this negative perception, we believe that technology companies should be aware of gender stereotypes. More specifically, it has been shown that males are attributed with rational competence more often than females. Drawing from the CASA paradigm, which states that people regularly assign human traits to computers, we expect that this stereotype might also be present for virtual assistants, i.e., male-voice virtual assistants are perceived as being more competent than female-voice virtual assistants. We test this hypothesis by conducting a controlled experiment which simulates a realistic interaction with differently voiced ...
International audienceVirtual learning environments often use virtual characters to facilitate and i...
This paper aims to explore the relationship between gender and artificial intelligence, seeking to u...
This study explores how stereotypical preconceptions about gender and conversational behaviour may a...
Some users express frustration with regard to virtual assistants due to their lack of perceived comp...
Research on gender stereotyping suggests that females are perceived as being more likable than males...
Since Apple first introduced Siri in 2011, artificial intelligence (AI) powered voice assistants (VA...
This paper explores the workshop as a tool to raise awareness about unconscious gender bias in AI vo...
Conversational agents (CAs) are increasingly being developed on commercial websites nowadays. We tes...
Current technological advancements of conversational agents (CAs) promise new potentials for human-c...
This study investigated the impact of task types (functional vs. social) and the gendered voices (fe...
Virtual personal assistants (VPAs) are increasingly becoming a common aspect of everyday living. How...
Gendered voice based on pitch is a prevalent design element in many contemporary Voice Assistants(VA...
Is the negative stereotype of women with regard to computer competence still exerting power in our s...
Virtual worlds are three-dimensional, computer-generated worlds in which users take the form of avat...
Altering an individual’s identity during virtual tasks, such that it is incongruent with their own i...
International audienceVirtual learning environments often use virtual characters to facilitate and i...
This paper aims to explore the relationship between gender and artificial intelligence, seeking to u...
This study explores how stereotypical preconceptions about gender and conversational behaviour may a...
Some users express frustration with regard to virtual assistants due to their lack of perceived comp...
Research on gender stereotyping suggests that females are perceived as being more likable than males...
Since Apple first introduced Siri in 2011, artificial intelligence (AI) powered voice assistants (VA...
This paper explores the workshop as a tool to raise awareness about unconscious gender bias in AI vo...
Conversational agents (CAs) are increasingly being developed on commercial websites nowadays. We tes...
Current technological advancements of conversational agents (CAs) promise new potentials for human-c...
This study investigated the impact of task types (functional vs. social) and the gendered voices (fe...
Virtual personal assistants (VPAs) are increasingly becoming a common aspect of everyday living. How...
Gendered voice based on pitch is a prevalent design element in many contemporary Voice Assistants(VA...
Is the negative stereotype of women with regard to computer competence still exerting power in our s...
Virtual worlds are three-dimensional, computer-generated worlds in which users take the form of avat...
Altering an individual’s identity during virtual tasks, such that it is incongruent with their own i...
International audienceVirtual learning environments often use virtual characters to facilitate and i...
This paper aims to explore the relationship between gender and artificial intelligence, seeking to u...
This study explores how stereotypical preconceptions about gender and conversational behaviour may a...