GridAlert: Using a Sensor-Based Technology to Monitor Power Blackouts in Kenyan Homes
George Hope Chidziwisano, Susan Wyche, Erick Oduor
摘要
Power blackouts (outages) are a common occurrence in Kenyan households. They affect people's livelihoods, and damage their property (household electrical items). We explore the role of GridAlert-a sensor-based technology we designed-in monitoring power blackouts. We worked with local technicians to design GridAlert's housing and integrate GridAlert with Kenya's electricity infrastructure. Then, we used interview, observation, diary, and data logging methods to understand 18 households' experiences using the system. Our findings provide insights for using sensor-based technology to monitor power usage and blackouts in Kenyan households. We also present participants' thoughts about GridAlert's housing, and about how it influenced their actions when using the system. We use these findings to discuss design insights for power monitoring systems, and to offer new perspectives on the role of technology in monitoring blackouts in Kenyan households.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper2
- EquityWare: Co-Designing Wearables With And For Low Income Communities In The U.SStefany Cruz, Alexander Redding, Connie W. Chau, Claire Lu 等CHI 2023 · 被引用 23 次
- Exploring Renewable Energy Futures through Household Energy ResilienceHanna Hasselqvist, Sara Renström, Maria Håkansson, Helena StrömbergCHI 2022 · 被引用 23 次
相关 Paper
- I'm All Eyes and Ears: Exploring Effective Locators for Privacy Awareness in IoT ScenariosYunpeng Song, Yun Huang, Zhongmin Cai, Jason I. HongCHI 2020 · 被引用 39 次
- HomeSound: An Iterative Field Deployment of an In-Home Sound Awareness System for Deaf or Hard of Hearing UsersDhruv Jain, Kelly Mack, Akli Amrous, Matt Wright 等CHI 2020 · 被引用 52 次
- Reimagining Wearable-Based Digital Contact Tracing: Insights from Kenya and Côte d'IvoireKavous Salehzadeh Niksirat, Collins W. Munyendo, Onicio Batista Leal Neto, Muswagha Katya 等CHI 2025 · 被引用 2 次
- Guess the Data: Data Work to Understand How People Make Sense of and Use Simple Sensor Data from HomesAlbrecht Kurze, Andreas Bischof, Sören Totzauer, Michael Storz 等CHI 2020 · 被引用 54 次
- RFDIDS: Radio Frequency-based Distributed Intrusion Detection System for the Power GridTohid Shekari, Christian Bayens, Morris Cohen, Lukas Graber 等NDSS 2019 · 被引用 25 次
