Isidro Butaslac

Isidro Butaslac, Yota Nagaya, Almira Princess Redoble et al.

In everyday life, physical effort is often minimized and convenience is prioritized, making it difficult for many people to sustain light exercise and stretching despite well-known long-term benefits. This challenge often arises not from objective movement limitations, but from whether an action feels doable in the moment and, therefore worth continuing. This position paper argues that subtle VR hand redirection (HR) can be reframed as a form of cross-sensory support for sustained practice by targeting perceived doability: a moment-to-moment cognitive appraisal that an action is within one's capability while requiring manageable effort. We propose that conservative HR, applied within known perceptual limits, can create repeated micro-success experiences (e.g., reaching a virtual goal earlier with similar physical movement). These micro-successes may increase continuation intention and early re-engagement without relying on overt pressure or intensive coaching. At the same time, such support raises questions about autonomy and authenticity. We therefore articulate two research questions: (RQ1) how HR shifts perceived doability to support sustained practice and positive behavior change; and (RQ2) when HR functions as acceptable support versus becoming counterproductive by undermining authenticity, agency, trust, or fostering dependence. We present an initial sit-and-reach VR prototype, outline a research plan, and identify key design tensions to spark community discussions on autonomy-preserving cross-sensory futures in HCI.

Feiyang Yin, Isidro Butaslac, Patrick Gebhard et al.

Micro-expressions are brief and subtle facial movements that convey nuanced affective information but often remain imperceptible during natural social interaction. Although prior research has primarily focused on computational recognition and spotting of micro-expressions, their application in human-centered contexts remains limited. From the perspective of social augmentation, this work proposes a conceptual framework for micro-expression visualization that transforms otherwise imperceptible micro-expressions into perceptible affective cues, with the aim of exploring their potential influence on empathic experience. Furthermore, we outline a planned pilot study to preliminarily assess the feasibility of this framework under controlled conditions.

Jordan Aiko Deja, Isidro Butaslac, Nicko Reginio Caluya et al.

Robots are moving beyond industrial settings into creative, educational, and public environments where interaction is open-ended and improvisational. Yet much of human-AI-robot interaction remains framed around performance and efficiency, positioning humans as supervisors rather than collaborators. We propose a re-framing of AI interaction with robots as scaffolding: infrastructure that enables humans to shape robotic behaviour over time while remaining meaningfully in control. Through scenarios from creative practice, learning-by-teaching, and embodied interaction, we illustrate how humans can act as executive directors, defining intent and steering revisions, while AI mediates between human expression and robotic execution. We outline design and evaluation implications that foreground creativity, agency, and flow. Finally, we discuss open challenges in social, scalable, and mission-critical contexts. We invite the community to rethink interacting with Robots and AI not as autonomy, but as sustained support for human creativity.