Slip Casting as a Machine for Making Textured Ceramic Interfaces 🏅

Presenter: Han Bo

Time: 9:15–10:30

Abstract:

Ceramics provide a rich domain for exploring craft, fabrication, and diverse material textures that enhance tangible interaction. In this work, we explored slip-casting, a traditional ceramic technique where liquid clay is poured into a porous plaster mold that absorbs water from the slip to form a clay body. We adapted this process into an approach we called Resist Slip-Casting. By selectively masking the mold’s surface with stickers to vary its water absorption rate, our approach enables makers to create ceramic objects with intricate textured surfaces, while also allowing the customization of a single mold for different outcomes. In this paper, we detail the resist slip-casting process and demonstrate its application by crafting a range of tangible interfaces with customizable visual symbols, tactile features, and decorative elements. We further discuss our approach within the broader conversation in HCI on fabrication machines that promote creative collaboration between humans, materials, and tools.

Timing Matters: How Using LLMs at Different Timings Influences Writers’ Perceptions and Ideation Outcomes in AI-Assisted Ideation

Presenter: Qin Peinuan

Time: 9:15–10:30

Abstract:

Large Language Models (LLMs) have been widely used to support ideation in the writing process. However, whether generating ideas with the help of LLMs leads to idea fixation or idea expansion is unclear. This study examines how different timings of LLM usage — either at the beginning or after independent ideation — affect people’s perceptions and ideation outcomes in a writing task. In a controlled experiment with 60 participants, we found that using LLMs from the beginning reduced the number of original ideas and lowered creative self-efficacy and self-credit, mediated by changes in autonomy and ownership. We discuss the challenges and opportunities associated with using LLMs to assist in idea generation. We propose delaying the use of LLMs to support ideation while considering users’ self-efficacy, autonomy, and ownership of the ideation outcomes.

Human Robot Interaction for Blind and Low Vision People: A Systematic Literature Review

Presenter: Yize Wei

Time: 9:15–10:30

Abstract:

Recent years have witnessed a growing interest in using robots to support Blind and Low Vision (BLV) people in various tasks and contexts. However, the Human-Computer Interaction (HCI) community still lacks a shared understanding of what, where, and how robots can benefit BLV users in their daily lives. In light of this, we conducted a systematic literature review to help researchers navigate the current landscape of this field through an HCI lens. We followed a systematic multi-stage approach and carefully selected a corpus of 76 papers from premier HCI venues. Our review provides a comprehensive overview of application areas, embodiments, and interaction techniques of the developed robotic systems. Further, we identified opportunities, challenges, and key considerations in this emerging field. Through this systematic review, we aim to inspire researchers, developers, designers, and HCI practitioners to create a more inclusive environment for the BLV community.

Prompting an Embodied AI Agent: How Embodiment and Multimodal Signaling Affects Prompting Behaviour 🏅

Presenter: Tianyi