There are many approaches to design frameworks that guide designers through co-designing with Indigenous communities. Designers that want to be respectful to the Indigenous communities look towards these equitable design approaches to ensure they are not perpetuating histories of harm. However, some of these approaches are prescriptive to a generalized “Indigenous community." Through these guidelines designers often develop a practice through their own interpretations of what is equitable for this learned idea of a generalized Indigenous community. This can be limiting, as what are respectful practices to an Indigenous community can be vastly different. This paper engages with these generalized guidelines of co-design to present and discuss a method of developing customized practice to collaborate with specific Indigenous communities. We showcase the framework with our experience of developing a design practice for the Office of Indigenous Knowledge and Innovation’s work with the Kanaka Maoli (Native Hawaiian) community.

Natural Language Interfaces that facilitate data exploration tasks are rapidly gaining in interest in the research community because they enable users to focus their attention on the task of inquiry rather than the mechanics of chart construction. Yet, current systems rely solely on processing the user’s explicit commands to generate the user’s intended chart. These commands can be ambiguous due to natural language tendencies such as speech disfluency and underspecification. In this paper, we developed and studied how an always listening interface can help contextualize imprecise queries. Our study revealed that an always listening interface is able to use an on-going conversation to fill in missing properties for imprecise commands, disambiguate inaccurate commands without asking the user for clarification, as well as generate charts without being explicitly asked.

Representing branching and comparative analyses in computational notebooks is complicated by the 1-dimensional (1D), top-down list arrangement of cells. Given the ubiquity of these and other non-linear features, their importance to analysis and narrative, and the struggles current 1D computational notebooks have, enabling organization of computational notebook cells in 2 dimensions (2D) may prove valuable. We investigated whether and how users would organize cells in such a "2D Computational Notebook" through a user study and gathered feedback from participants through a follow-up survey and optional interviews. Through the user study, we found 3 main design patterns for arranging notebook cells in 2D: Linear, Multi-Column, and Workboard. Through the survey and interviews, we found that users see potential value in 2D Computational Notebooks for branching and comparative analyses, but the expansion from 1D to 2D may necessitate additional navigational and organizational aids.

Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and human-computer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics.

Technology have long been a partner of workplace meeting facilitation. The recent outbreak of COVID-19 and the cautionary measures to reduce its spread have made it more prevalent than ever before in the form of online-meetings. In this paper, we recount our experiences during weekly meetings in three modalities: using SAGE2 - a collaborative sharing software designed for large displays - for co-located meetings, using a conventional projector for co-located meetings, and using the Zoom video-conferencing tool for distributed meetings. We view these meetings through the lens of effective meeting attributes and share ethnographic observations and attitudinal survey conducted in our research lab. We discuss patterns of content sharing, either sequential, parallel, or semi-parallel, and the potential advantages of creating complex canvases of content. We see how the SAGE2 tool affords parallel content sharing to create complex canvases, which represent queues of ideas and contributions (past, present, and future) using the space on a large display to suggest the progression of time through the meeting.

SAGE (the Scalable Adaptive Graphics Environment) and its successor SAGE2 (the Scalable Amplified Group Environment) are operating systems for managing content across wideband display environments. This paper documents the prevalent usage patterns of SAGE-enabled display walls in support of the e-Science enterprise, based on nearly 15 years of observations of the SAGE community. These patterns will help guide e-Science users and cyberinfrastructure developers on how best to leverage large tiled display walls, and the types of software services that could be provided in the future.

As we aspire to bring bendable interfaces closer to mainstream use, we need to resolve practical issues such as the event model for bend input. This work takes steps towards understanding the bend events space for a simplified 1DOF (Degree of Freedom) device. We suggest that a rich set of informative bend events can elevate application development for bendable devices. In this work, we describe the current state of event models for bendable devices, our suggested refined model, and the steps we are taking toward implementing an event system.

The Scalable Amplified Group Environment (SAGE2) is an open-source, web-based middleware for driving tiled display walls. SAGE2 allows running multiple applications at once within its workspace. In large display walls, users tend to collaborate using multiple applications in the same space for simultaneous interaction and review. Unfortunately, many of these applications were created independently by different developers and were never intended to interoperate which greatly limits their potential reusability. SAGE2 developers face system limitations where applications are data segregated and cannot easily communicate with others. To counter this problem, we developed the SAGE2 data sharing components. We describe the Sage River Disaster Information (SageRDI) application and the SAGE2 architectural implementations necessary for its operation. SageRDI enables river.go.jp, an existing website that provides water sensor data for Japan, to interact with other SAGE2 applications without modifying the website's server, hosted files, nor any of the default SAGE2 applications.

Children participating in animatronic puppet show workshops are tasked with hands-on activities that exercise both creative and technical skills culminating in a unique learning experience. In this paper, we describe Set&Motion, an authoring tool that supports the creation of animatronic puppet shows. It supports capturing sound and describing the puppet's animation for any animatronic show. In addition, users can create more complex story flows and allow viewers to interact with the show using sensors embedded in the puppet or its surroundings. It promotes the use of a state diagram to describe non-linear storylines, and may be useful for Computer Science education.