Gisela Reyes-Cruz

dblp:239/4932 · DBLP profile ↗
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6ranked-venue papers
3as first author
5since 2021 · last 2026
0000-0001-5363-5489ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 6 · 3 first-author · 5 since 2021Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
YearPublicationVenuePosition
2026 On Being Guided: How People Follow a Robot-Guided Tour
abstract
Being guided from one place to another is a pervasive social practice that connects deeply with socially aware robot navigation. We examine how robots come to feature within the organisation of these established and well-worn leading and following practices, practices which are assembled 'in place' by the efforts of individuals and groups that are using robot guides. We deployed mobile robots in a museum context to provide additional information for visitors around multiple sequential exhibits. Our ethnomethodological video-based analysis of interaction centres on how the social organisation of being guided was practically managed by visitors: in initiation of following, doing following, and finding a place to stop. Our study shows how following and being led is more than just a mechanical activity, and describe the implications for socially aware robot navigation in addressing novel technical challenges that a shift in understanding following-leading phenomena presents.
Gisela Reyes-Cruz, Stuart Reeves, Andriana Boudouraki, Dominic Price, Joel E. Fischer, Praminda Caleb-Solly
HRI1
2025 Acceptability, Acceptance and Adoption of Telepresence Robots in Museums: The Museum Professionals' Perspectives
abstract
Telepresence robots have the potential to change our experiences in galleries and museums, allowing for a range of hybrid interactions for visitors and museum professionals, improving accessibility, offering activities or information, and providing a range of practical use cases (e.g. the robots augmenting museum exhibits).We present the results of 3 qualitative studies conducted in the UK exploring the acceptability (1 -interviews with museum professionals with no previous exposure to telepresence), acceptance (2 -focus groups for initial exposure to telepresence robots), and adoption (3 -interviews with museum professionals with long-term exposure to
Harriet R. Cameron, Gisela Reyes-Cruz, Anna-Maria Piskopani, Pepita Barnard, Andriana Boudouraki, Praminda Caleb-Solly, Simon Castle-Green, Joel E. Fischer, Richard Hyde, Ayse Küçükyilmaz, Horia A. Maior
CHI2
2023 Why is my Agent so Slow? Deploying Human-Like Conversational Turn-Taking
abstract
The emphasis on one-to-one speak/wait spoken conversational interaction with intelligent agents leads to long pauses between conversational turns, undermines the flow and naturalness of the interaction, and undermines the user experience. Despite ground breaking advances in the area of generating and understanding natural language with techniques such as LLMs, conversational interaction has remained relatively overlooked. In this workshop we will discuss and review the challenges, recent work and potential impact of improving conversational interaction with artificial systems. We hope to share experiences of poor human/system interaction, best practices with third party tools, and generate design guidance for the community.
Matthew P. Aylett, Éva Székely, Donald McMillan, Gabriel Skantze, Marta Romeo, Joel E. Fischer, Gisela Reyes-Cruz
HAI7
2023 "They're not going to do all the tasks we do": Understanding Trust and Reassurance towards a UV-C Disinfection Robot
abstract
Increasingly, robots are adopted for routine tasks such as cleaning and disinfection of public spaces, raising questions about attitudes and trust of professional cleaners who might in future have robots as teammates, and whether the general public feels reassured when disinfection is carried out by robots. In this paper, we present the results of a mixed-methods user study exploring how trust and reassurance by both professional cleaners and members of the public is affected by the use of a UV-C disinfection robot and information about its performance after disinfecting a simulated classroom. The results show a range of insights for those designing and wishing to deploy UV-C robots: we found that trust and reassurance are affected by information about the UV-C robot’s task performance, with more information coinciding with significantly more agreement to be able to judge that the robot is doing a good job. However, care should be taken when designing information about task performance to avoid misinterpretation. Overall, the results suggest a generally positive picture regarding the use of UV-C disinfecting robots and that cleaning professionals would be happy to have them as their teammates; however, there were also some concerns regarding the effect on less-skilled jobs. Taken together, our results provide considerations to make UV-C robots welcomed by cleaning teams as well as to provide reassurance to space users.
Maria Jose Galvez Trigo, Gisela Reyes-Cruz, Horia A. Maior, Cecily Pepper, Dominic Price, Pauline Leonard, Chira Tochia, Richard Hyde, Nicholas James Watson, Joel E. Fischer
RO-MAN2
2022 Demonstrating Interaction: The Case of Assistive Technology
abstract
Technology “demos” have become a staple in technology design practice, especially for showcasing prototypes or systems. However, demonstrations are also commonplace and multifaceted phenomena in everyday life, and thus have found their way into empirical research of technology use. In spite of their presence in HCI, their methodical character as a research tool has so far received little attention in our community. We analysed 102 video-recorded demonstrations performed by visually impaired people, captured in the context of a larger ethnographic study investigating their technology use. In doing so, we exhibit core features of demonstrational work and discuss the relevance of the meta-activities occurring around and within demonstrations. We reflect on their value as an approach to doing HCI research on assistive technologies (AT), for enabling shared understanding and letting us identify opportunities for design. Lastly, we discuss their implications as a research instrument for accessibility and HCI research more broadly.
Gisela Reyes-Cruz, Joel E. Fischer, Stuart Reeves
ACM Trans. Comput. Hum. Interact.1
2020 Reframing Disability as Competency: Unpacking Everyday Technology Practices of People with Visual Impairments
abstract
More than a billion people in the world live with some form of visual impairment, and a wide variety of technologies are now routinely used by them in the course of 'getting on' in everyday life. However, little is known about the ways in which assistive and non-assistive technologies are brought to bear on material practices. We present findings from a four-month ethnographic study facilitated by a local branch of a UK charity that supports people with visual impairments. Our study explores mainstream and assistive technology use within their everyday lives. We identify three main sites for technology use: social relations and communication practices, textual reading practices, and mobility practices. Via an ethnographic approach we contribute to understanding how people accomplish such practices, and in doing so, uncover the practical competencies that enable people with visual impairments to conduct their everyday activities. Thus we investigate how disability can be thought of in terms of competencies, arguing that understanding of competencies can enrich the design of technologies that fit the needs of people with visual impairments.
Gisela Reyes-Cruz, Joel E. Fischer, Stuart Reeves
CHI1