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 variety of systems and contexts of use. Yet, standards in capturing perceptions of agent gender do not exist. A scoping review was conducted to clarify how agent gender has been operationalized—labelled, defined, and measured—as a perceptual variable. One-third of studies manipulated but did not measure agent gender. Norms in operationalizations remain obscure, limiting comprehension of results, congruity in measurement, and comparability for meta-analyses. The dominance of the gender binary model and latent anthropocentrism have placed arbitrary limits on knowledge generation and reified the status quo. We contribute a systematically-developed and theory-driven meta-level framework that offers operational clarity and practical guidance for greater rigour and inclusivity.

Human-Computer Interaction (HCI) has been critiqued for grounding technologies for disabled people in ableist paradigms, where the emphasis is placed on ‘fixing’ autism rather than supporting autistic people. In contrast, the neurodiversity paradigm has helped many autistic people to develop an autistic identity, foster greater self-esteem, and build a sense of belonging within the broader neurodiversity community. Yet, little is known about how digital technologies might support information-seeking and self-reflection practices that contribute to autistic identity formation. Most HCI literature has largely focused on children, and has overlooked the experiences of autistic adults with intersecting gender and ethnic identities. This study addresses that gap by reporting findings from a survey (N=21) and participatory design workshops (n=8), where autistic cis and transgender women, as well as non-binary adults, reflected on their journeys towards identifying as autistic following a late autism diagnosis, and evaluated a prototype conversational agent designed to support this process. Our findings highlight the value of compassionate participatory design practices and contribute guidelines for designing agents that can support autistic adults and their identity formation.

The ARTICULATE project is an ambitious and interdisciplinary initiative funded by the CHIST-ERA call 2025. Its vision is to revolutionize science education and democratize scientific knowledge beyond academia and English-speaking audiences through the integration of AI with self-regulated learning. The aim is to translate science not just across language but across language style, to create engaging spoken digital experiences. We present an introduction to this project, an overview of the consortium and research approach, and a number of expected impacts.

Conversational agents that mimic people have raised questions about the ethics of anthropomorphizing machines with human social identity cues. Critics have also questioned assumptions of identity neutrality in humanlike agents. Recent work has revealed that intersectional Japanese pronouns can elicit complex and sometimes evasive impressions of agent identity. Yet, the role of other "neutral" non-pronominal self-referents (NPSR) and voice as a socially expressive medium remains unexplored. In a crowdsourcing study, Japanese participants (N = 204) evaluated three ChatGPT voices (Juniper, Breeze, and Ember) using seven self-referents. We found strong evidence of voice gendering alongside the potential of intersectional self-referents to evade gendering, i.e., ambiguity through neutrality and elusiveness. Notably, perceptions of age and formality intersected with gendering as per sociolinguistic theories, especially boku and watakushi. This work provides a nuanced take on agent identity perceptions and champions intersectional and culturally-sensitive work on voice agents.

Queer Joy is conceptualised as a form of resistance to oppression by celebrating queerness in the face of adversity. This research aimed to centre queer joy and understand how it is expressed and may be facilitated in online spaces. To do this we conducted a survey with 100 UK participants who indicated they identified as LGBTQ+ on the online recruitment platform Prolific. We asked a series of open and closed questions in an online survey to investigate 1) what queer joy looks like on social media 2) how queer joy content is engaged with on social media 3) which platforms are perceived to facilitate queer joy and 4) how queer people protect their privacy online. The results suggested that to facilitate queer joy online, platforms should allow flexible self expression and community engagement, while allowing for granular control over privacy and the audience such content is shown to.

ChatGPT is a conversational agent built on a large language model. Trained on a significant portion of human output, ChatGPT can mimic people to a degree. As such, we need to consider what social identities ChatGPT simulates (or can be designed to simulate). In this study, we explored the case of identity simulation through Japanese first-person pronouns, which are tightly connected to social identities in intersectional ways, i.e., intersectional pronouns. We conducted a controlled online experiment where people from two regions in Japan (Kanto and Kinki) witnessed interactions with ChatGPT using ten sets of first-person pronouns. We discovered that pronouns alone can evoke perceptions of social identities in ChatGPT at the intersections of gender, age, region, and formality, with caveats. This work highlights the importance of pronoun use for social identity simulation, provides a language-based methodology for culturally-sensitive persona development, and advances the potential of intersectional identities in intelligent agents.

Beside reminiscing, the increasing cognitive decline in dementia can also be addressed through sensory stimulation allowing the immediate, nonverbal engagement with the world through one's senses. Much HCI work has prioritized cognitive stimulation for reminiscing or personhood often on small screens, while less research has explored sensory stimulation like the one enabled by large displays. We describe a year-long deployment in a residential care home of a wall-sized display, and explored its domestication through 24 contextual interviews. Findings indicate strong engagement and attachment to the display which has inspired four psychosocial interventions using online generic content. We discuss the value of these findings for personhood through residents' exercise of choices, the tension between generic/personal content and its public/private use, the importance of participatory research approach to domestication, and the infrastructure-based prototype, illustrated by the DementiaWall and its generative quality.