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Full Description
Uncertainty is a prevalent characteristic of contemporary life and a central challenge of HCI. As humans, researchers, and designers we encounter uncertainty in a multitude of forms and a variety of settings. The growing attention to uncertainty in HCI is due to the ever increasing expansion of the field and questions and contexts to which we seek to apply HCI research and practice. It is also due to events in the world that force us to engage more directly with questions related to uncertainty. Consequently, society is turning more than ever to data as a means to enable or mediate our understanding of phenomena such as climate change, political turmoil, increased economic upheaval, and a global pandemic.
This monograph examines how HCI conceptualizes, situates, and responds to uncertainty — particularly arguing that our ability to respond to such uncertainties is governed to a great extent by the concepts we use to enframe a single, encompassing, overburdened and slippery idea. The authors propose four distinct "modes of uncertainty" to begin to draw together the varied strands of work in HCI that address uncertainty in its many forms. Rather than focusing on uncertainty as a discrete phenomenon in the world to be studied, they look to how research goals, methods, and theoretical frames used in HCI research influence the various ways in which we encounter it. By switching from uncertainty (a noun) to modes of engaging uncertainty (a verb), they foreground uncertainty as a relational concept and show that it is an active and ongoing condition that designers and researchers make present in different fashions depending upon their priorities and the context in which they are working. The authors show that adding modes of uncertainty to our conceptual toolbox facilitates conversation between domains and lets us draw new connections between disparate areas of research including visualization studies, critical design, feminist epistemologies, and sustainability.
Contents
1. Introduction
2. Background
3. Four Modes of Uncertainty
4. Case Studies
5. Further Considerations
6. Conclusion
References
