Stanford CS547 HCI Seminar | Autumn 2026 | Sensing Uncertainty in Sustainable HCI

Stanford CS547 HCI Seminar | Autumn 2026 | Sensing Uncertainty in Sustainable HCI

🎙 Kristin Williams 👥 1.3M 📅 October 22, 2026 ⏱ 60 min 👁 62 📄 original study 🧭 2026-10-22
Available in: English (current) Français

Keywords

sustainable HCIsensor uncertaintyupcyclinguser interfaceIoT

Summary

Kristin Williams presents a seminar on sensing uncertainty in sustainable HCI. She begins by highlighting the growing problems of e-waste, climate change, and energy demand, and introduces the low-carbon innovation paradox where efficiency gains may increase consumption. She advocates for embracing uncertainty rather than avoiding it, focusing on ‘sensing uncertainty’—the question of whether sensor data accurately reflects events. The talk is drawn from an article in interactions magazine and from her lab’s research. She first discusses a field study with 10 families in Pittsburgh about IoT adoption, revealing that people value durable, reliable objects and resist adding fragile smart devices. She then describes a study with expert woodworkers to develop Ubench, a system that uses sensors (metal detection, moisture sensing) and projected annotations to help users deal with defects in secondhand wood, enabling upcycling. The system supports in-situ design and expert practice. Finally, she connects these findings to broader issues of visualizing uncertain data, using examples from the COVID-19 pandemic. She concludes that making uncertainty visible and interpretable at the user interface is crucial for sustainable and trustworthy computing.

179 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides valuable insights into the intersection of sustainability and human-computer interaction by shifting focus from long-term rebound effects to immediate sensing uncertainty. The argumentation is solid, built on empirical studies with families and woodworkers, and the development of a novel system (Ubench) that demonstrates practical interventions. The speaker effectively synthesizes multiple projects, showing how uncertainty can be ‘made ready to hand’ through tangible interfaces and visualization. The reasoning is clear and well-supported with examples, though at times it could benefit from more quantitative evidence, especially regarding the effectiveness of Ubench.

Scientific Rigor, Source Quality, Title Accuracy

The presentation is scientifically rigorous, rooted in peer-reviewed research and fieldwork. The speaker cites her own published work and references the low-carbon innovation paradox and literature on sustainable computing. The sources mentioned include the Stanford HCI seminar page and the graduate education program, though the talk itself does not provide many external citations. The title accurately captures the essence of the talk, which is about the role of uncertainty in sensing for sustainable HCI, and the content aligns well with this theme.

189 words

Title / Content Match

The title accurately reflects the content: the talk focuses on sensing uncertainty in sustainable HCI, presenting research on how sensor data can be unreliable and how interfaces can help users cope with uncertainty.

Quality & Reliability

8/10

The talk is given by a reputable professor and is based on published research and empirical studies, covering multiple projects with detailed examples. The presentation is well-structured and provides a clear argument for embracing uncertainty in sustainable HCI.

Key Moments

Cited Sources

  • Stanford HCI Seminar Schedule — The seminar series page where this talk is listed, providing context for the talk and additional resources.
  • Stanford Online Graduate Education — Information about Stanford's graduate programs, mentioned at the start of the video description.

Contribution & Novelties

The talk contributes to the field of sustainable HCI by proposing that sensing uncertainty should be a central design consideration, not an afterthought. It presents a novel system (Ubench) that integrates sensor-based defect detection with interactive projection to support upcycling, and it argues for making uncertainty visible at the user interface. This approach is original as it bridges technical sensor issues with user interaction and sustainability concerns.

Pour aller plus loin :

119 words

Radar Profile

The radar chart shows high scores on information quantity, quality, and reliability, with a slightly lower technical level, indicating that the talk is substantive and credible but accessible to a broader audience. The balance between the components suggests a well-rounded presentation.

Reliability 8/10