Abstract

This paper is an invitation to HCI designers and artist-researchers to weave together practice-based ways of knowing with others’ experiences with their work, focused on understanding cognitive and aesthetic impressions garnered during exhibitions. It describes the first author's process for weaving together the warp (practice-based ways of knowing) and weft (interview-based insights into others’ experiences) by leveraging the exhibition site as a place to generate knowledge with attendees experiencing their work. Understanding others’ experiences informs the experimentation that practice-based knowledge generation is founded on, deepening and enriching the resulting work.

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Abstract

We explore the use of cinematic “pre-visualization” (previs) techniques as a rapid ideation and design futuring method for human computer interaction (HCI) research. Previs approaches, which are widely used in animation and film production, use digital design tools to create medium-fidelity videos that capture richer interaction, motion, and context than sketches or static illustrations. When used as a design futuring method, previs can facilitate rapid, iterative discussions that reveal tensions, challenges, and opportunities for new research. We performed eight one-week design futuring sprints, in which individual HCI researchers collaborated with a lead designer to produce concept sketches, storyboards, and videos that examined future applications of their research. From these experiences, we identify recurring themes and challenges and present a One Week Futuring Workbook that other researchers can use to guide their own futuring sprints. We also highlight how variations of our approach could support other speculative design practices.

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Abstract

Art is not Research. Research is not Art. is a multimedia, multi-site participatory installation by a collective of artists and researchers from Calgary, Toronto, and Lancaster; it is informed by these contexts. It reflects the tensions between how “participants” are treated in participatory art and interaction research. It offers a framework through which we can explore how epistemologies might evolve in a blending between Art and Research. Visitors download the paper to read, critically reflect on the relationship between art and research, and experientially engage with the material through a series of creative prompts. A performance variation of the piece will be performed in-person and online through the ACM SIGCHI Conference on Human Factors in Computing Systems alt.chi track.

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Abstract

Machine learning and predictive algorithms find patterns in large stores of data and make predictions which corporations and governments use to support decision-making. Yet, the system's representation of reality can be more influential to outcomes than the complexities of daily life. They become problematic when they undermine the inclusivity of public decision making, and when their use perpetuates social or economic inequality. To address these challenges, the public must be able to participate in discourse about the implications of algorithmic systems. I propose a series of participatory installations exploring the impacts of algorithmic systems, providing contexts for active exploration of these concerns. I will conduct phenomenographic interviews to better understand how visitors experience art installations about technical topics, providing insight for subsequent installations. I will consolidate the results into a set of best practices about engaging the public on these topics.

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Abstract

We discuss Logical Conclusion, an analog interactive installation which presents issues surrounding the social impacts of algorithms used by corporations and governments via logic puzzles with physical elements that visitors manipulate to solve. We present the combination of physicality and participation as promising tools to engage the public with the ways that complex technologies interact with society. We also pose questions regarding how such strategies might be extended by the addition of responsive tangible computing elements.

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