Autonomous driving paper index
EcoChat Probe:How Energy Feedback Shapes End Users’ Interpretations of Everyday Generative AI Use
One-line summary
To understand this impact, we developed a technology probe, EcoChat, as a Chrome extension for ChatGPT, that provides real-time data on inference energy and carbon emission use.
Engineering notes
Although usage patterns did not change significantly, participants reported increased awareness of GenAI inference’s environmental impact, and EcoChat encouraged them to reflect upon what constitutes ‘reasonable use’ in relation to the perceived value of their GenAI use.
Chinese explanation / 中文解读
中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
While there is a general agreement on the environmental impact of GenAI, and a growing number of tools that try to bring awareness to this issue, the impact of such feedback on GenAI users remains unclear. To understand this impact, we developed a technology probe, EcoChat, as a Chrome extension for ChatGPT, that provides real-time data on inference energy and carbon emission use. We deployed the EcoChat probe in a four-week in-the-wild study with 52 participants supplemented with 18 interviews. Although usage patterns did not change significantly, participants reported increased awareness of GenAI inference’s environmental impact, and EcoChat encouraged them to reflect upon what constitutes ‘reasonable use’ in relation to the perceived value of their GenAI use. Interestingly however, participants also had difficulties in recalling specific data values, emission metaphors or even orders of magnitude of this impact. Accordingly, we identified a need for (a) more critical and transparent engagement with such estimated and uncertain data values; (b) more social and normative comparisons in eco-feedback interfaces to help end-users contextualize the data; as well as the opportunity for such interfaces to (c) provoke end users’ reflection and eventually support awareness, agency, and even contribute to systemic changes. Together, these findings unpack end user’s expectations and limitations to GenAI environmental impact, inform the design of future user-centered eco-feedback tools, and ultimately advance HCI debates on AI sustainability.
Links and sources
Need this topic turned into a technical roadmap?
Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.
Request B2B research
Comments