Martina De Cet

schoolChalmers University of Technologybar_chart#2444 Global Rank

Total Papers

HCI Rank

#2444

Research Areas

Years Active

Recent Publications

Operationalizing Perceptions of Agent Gender: Foundations and Guidelines

The “gender” of intelligent agents, virtual characters, social robots, and other agentic machines has emerged as a fundamental topic in studies of people's interactions with computers. Perceptions of agent gender can help explain user attitudes and behaviours—from preferences to toxicity to stereotyping—across a varie…

CHI '261st AuthorAgent Personality & Anthropomorphism +2

Queer, Nonbinary, or Ambiguous? Rethinking Voice Labels through Queer Theory in HCI

This paper explores how feminist and queer theories can inform voice design in technology, particularly in Human-Computer Interaction (HCI). It argues that biological sex and gender are socially constructed and performative, and that voice is a site where identity is both enacted and interpreted. Building on this fram…

CUI '251st AuthorVoice User Interface (VUI) Design +2

Hearing Ambiguity: Exploring Beyond-Gender Impressions of Artificial Ambiguous Voices

Voice perception plays a fundamental role in all types of interactions, from human-to-human communication to human-technology interaction. When it comes to technology, we sometimes have the option to choose the type of voice we want to hear. But why is the default (almost) always a feminine or masculine voice? In this…

CHI '251st AuthorVoice User Interface (VUI) Design +2

Breaking the Binary: A Systematic Review of Gender-Ambiguous Voices in Human-Computer Interaction

Voice interfaces come in many forms in Human-Computer Interaction (HCI), such as voice assistants and robots. These are often gendered, i.e. they sound masculine or feminine. Recently, there has been a surge in creating gender-ambiguous voices, aiming to make voice interfaces more inclusive and less prone to stereotyp…

CUI '241st AuthorAgent Personality & Anthropomorphism +1

Do Your Expectations Match? A Mixed-Methods Study on the Association Between a Robot's Voice and Appearance

Both physical appearance and voice can elicit mental images of what someone and/or something should sound and look like. This is particularly relevant for human-robot interaction design and research since any voice can be added to a robot. Therefore, it is important to give robots voices that match users' expectations…

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