Home Program For Authors For Attendees For Sponsors

Workshops

Architecting Novel Interactions With Generative AI Models

Visit the Workshop Website

Authors:

Michael S. Bernstein (Stanford University)

Joon Sung Park (Stanford University)

Meredith Ringel Morris (Google DeepMind)

Saleema Amershi (Microsoft Research)

Lydia B Chilton (Columbia University)

Mitchell L. Gordon (MIT and University of Washington)

Description:

The new generation of generative AI models offers interactive opportunities that may fulfill long-standing aspirations in human-computer interaction and open doors to new forms of interaction that we have yet to imagine. The UIST community has a unique vantage point that can lead to critical contributions in envisioning a future of interactive computing that appropriately leverages the power of these new generative AI models. However, we are only just beginning to understand the research area that exists at the intersection of interaction and generative AI. By bringing together members of the UIST community interested in this intersection, we seek to initiate discussions on the potential of generative AI in architecting new forms of interactions. Key topics of interest include the exploration of novel categories of interactions made possible by generative AI, the development of methods for enabling more powerful and direct user control of generative AI, and the identification of model and architecture requirements for generative AI in interaction literature. The workshop will foster community building and produce concrete deliverables, including a research agenda, model/architecture requirements, and a simulated debate generated by a generative agent architecture.

Program Overview

Electro-actuated Materials for Future Haptic Interfaces

Visit the Workshop Website

Authors:

Daniel Leithinger (ATLAS Institute, University of Colorado, Boulder)

Ran Zhou (ATLAS Institute, University of Colorado, Boulder)

Eric Acome (Artimus Robotics)

Ahad Mujtaba Rauf (Stanford University)

Teng Han (Institute of Software, Chinese Academy of Sciences)

Craig Shultz (Fluid Reality Inc)

Joe Mullenbach (Fluid Reality Inc)

Description:

Electro-actuated materials (EAMs) have received wide attention within material science and soft robotics for their ability to dynamically change physical properties, such as shape and stiffness, in response to electrical stimuli. While researchers begun exploring the haptic characteristics of EAMs, their integration into Human-Computer Interaction (HCI) shows challenges, including limited commercial availability and a lack of interdisciplinary knowledge exchange. This workshop specifically focuses on electrostatic (ES), soft electrohydraulic (SEH), and electroosmotic (EO) actuators. By bringing together researchers in the field, we aim to facilitate the exchange of findings, techniques, fabrication practices, and tacit knowledge within the HCI community. The workshop combines interactive demos, focused discussions, and hands-on ideation, providing a platform to explore the haptic potential of EAMs, identify key challenges and opportunities, and envision how these programmable materials can unlock new haptic interactions and interfaces.

Program Overview

Future Paradigms for Sustainable Making

Visit the Workshop Website

Authors:

Zeyu Yan (University of Maryland, College Park)

Tingyu Cheng (Georgia Institute of Technology)

Jasmine Lu (University of Chicago)

Pedro Lopes (University of Chicago)

Huaishu Peng (University of Maryland, College Park)

Description:

This workshop provides the first opportunity for the UIST community to discuss sustainability challenges and opportunities in rapid prototyping. We will discuss key issues such as waste generation from intermediate prototypes, strategies for sustainable materials, circular prototyping (e.g., promoting re-use of components), knowledge sharing infrastructures (e.g., open-sourcing hardware), and so forth. The goal is to identify potential HCI research directions that can foster a more sustainable “making” environment inside of labs and beyond.

Program Overview

XR and AI - AI-Enabled Virtual, Augmented, and Mixed Reality

Visit the Workshop Website

Authors:

Ryo Suzuki (University of Calgary)

Mar Gonzalez-Franco (Google)

Misha Sra (UC Santa Barbara)

David Lindlbauer (Carnegie Mellon University)

Description:

This workshop aims to unite experts and practitioners in XR and AI to envision the future of AI-enabled virtual, augmented, and mixed reality experiences. Our expansive discussion includes a variety of key topics: Generative XR, Large Language Models (LLMs) for XR, Adaptive and Context-Aware XR, Explainable AI for XR, and harnessing AI to enhance and prototype XR experiences. We aim to identify the opportunities and challenges of how recent advances of AI could bring new XR experiences, which cannot be done before, with a keen focus on the seamless blending of our digital and physical worlds.

Program Overview
© Copyright 2023 ACM SIGCHI