Jenny J. Yu

dblp:429/0901 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2026
0009-0003-8324-9679ORCID · reported

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

Human-computer interaction and ubiquitous computing · 4 · 4 since 2021Artificial intelligence and machine learning · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Reconfiguring the Home: Co-Designing the Future of Adaptive Domestic Environments
abstract
As domestic environments are increasingly required to meet diverse and changing human needs within constrained spaces, physical reconfigurability offers a promising solution. We developed a full-scale, manipulable room prototype as an exploratory co-design instrument, enabling participants to bodily explore and reflect on reconfigurable living spaces. Through 12 sessions with 30 participants involving brainstorming, bodystorming, and interviews, we identified spatial design patterns and elicited perspectives on reconfigurable domestic environments. Our findings contribute a design pattern catalogue for reconfigurable spaces, alongside insights into the lived experience of reconfigurability. We also discuss design principles, three affordance-based design dimensions that capture value tensions: empowering vs. restrictive, utilitarian vs. hedonic, and futuristic vs. practical, as well as lessons from co-design with a room-scale prototype. We demonstrate agile, room-scale prototyping as a methodological approach for spatial HCI research, advancing toward human-computer habitation, where interactive systems become inhabited built environments that support human values, creativity, and autonomy.
Ge (Serena) Guo, Raquel Cañete, Jenny J. Yu, Gilly Leshed, Ian D. Walker, Keith E. Green
CHI3
2026 "When We're Looking at the Robot, We See Each Other": A Comparison of Robotic, Mirror-Based, and Hybrid Interventions for Stranger Interaction
abstract
Eye contact between strangers, even fleeting, can spark interaction and foster connection, happiness, and belonging. Yet in public spaces, such encounters are often suppressed by “civil inattention,” with many people absorbed in their phones. We explore how reconfiguring the ambient environment with MirrorBot, a mobile robot with adaptive mirrors, can encourage social encounters by subtly redirecting glances. By shifting reflections between self- and mutual recognition, MirrorBot invites serendipitous eye contact, shared awareness, and low-stakes engagement. In a controlled 2×2 between-subjects study with 90 participants (45 dyads) across four conditions (MirrorBot, Bot-only, Mirror-only, and Control), we found that MirrorBot led participants to initiate conversation more often, feel greater closeness and togetherness, and have more enjoyable interactions. Our findings position robots not only as social agents but as socio-spatial interfaces that choreograph sight lines and shared attention in physical space, opening new possibilities for technologies that cultivate human connection in public life.
Ge (Serena) Guo, Jenny J. Yu, Wenqian Niu, Yunting Yan, Guy Hoffman, Gilly Leshed, Keith E. Green
CHI3
2026 Robot-Mediated Mutual Gaze: How a Mobile Robot with Actuated Mirrors Facilitates Encounters between Strangers
abstract
Brief eye contact with strangers can foster connection, belonging, and positive affect, yet such moments are often scarce in public spaces. This paper investigates how a spatially situated robot can reshape the visual field of a shared space to influence how strangers notice and respond to one another. We present MirrorBot, a mobile robot equipped with two actuated mirrors that dynamically redirect reflections to reshape sightlines between people. In a study with 32 strangers in 16 pairs in a waiting-room setting, MirrorBot elicited patterns such as low-stakes icebreaking, nonverbal synchrony, joint sensemaking, asymmetric engagement, and avoidance. Participants also attributed multiple roles to the robot, such as mediator, observer, magnifier, or disrupter, revealing that its social meaning was fluid and co-constructed. Our work extends HRI by showing that robots can act not only as conversational partners but also as spatial mediators, curating opportunities for human–human connection through the reconfiguration of spatial relationships
Ge (Serena) Guo, Jenny J. Yu, Wenqian Niu, Guy Hoffman, Gilly Leshed, Keith E. Green
HRI2
2025 When the Robot Surrounds Us: Co-Designing a New Human-Robot Interaction in a Full-Scale, "Robot-Room" Rapid Prototype
abstract
While robots are traditionally envisioned as physical entities that move through, sense, and act upon the environment, a new category is emerging: the inhabitable robot, or "robot-room," which redefines human-robot interaction by immersing us within the robot itself. As a first step in exploring this novel design space, we developed a full-scale, rapid-prototyped robot-room—not a simulation or scale model—and conducted a co-design study with 30 participants. Inside this immersive space, participants explored new forms of human-robot interaction, engaging their perceptual faculties for "knowing spaces." Our findings inform our ongoing development of a fully operational robot-room and offer valuable insights into expanding the concept of human-robot interaction to one of human-robot cohabitation.
Ge (Serena) Guo, Raquel Cañete Yaque, Jenny J. Yu, Gilly Leshed, Ian D. Walker, Keith E. Green
RO-MAN3