惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

C
Check Point Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
博客园 - 聂微东
月光博客
月光博客
博客园 - 司徒正美
爱范儿
爱范儿
aimingoo的专栏
aimingoo的专栏
量子位
Recent Announcements
Recent Announcements
V
V2EX
P
Proofpoint News Feed
小众软件
小众软件
云风的 BLOG
云风的 BLOG
腾讯CDC
宝玉的分享
宝玉的分享
Microsoft Azure Blog
Microsoft Azure Blog
大猫的无限游戏
大猫的无限游戏
Vercel News
Vercel News
The GitHub Blog
The GitHub Blog
A
About on SuperTechFans
B
Blog
博客园_首页
GbyAI
GbyAI
博客园 - Franky

cs.HC updates on arXiv.org

Quantitative Movement Testing: Measuring Patient Movements from a Single Smartphone Video Vision-Language Models Suppress Female Representations Under Ambiguous Input The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace TUX: Measuring Human--AI Tacit Understanding LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception First head-to-head comparison of agentic AI applied to the analysis of simulated data of the Einstein Telescope Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams Bayesian Distributional Models of Executive Functioning Visual Matters: Connecting Aesthetic Appeal and Production Quality of Photos, Infographics and Data Visualizations to Credibility of Social Media Posts Data-driven Head Motion Generation through Natural Gaze-Head Coordination Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why Perceptually Lossless Tactile Texture Synthesis with Compact Spectral Envelope Models MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data CogAdapt: Transferring Clinical ECG Foundation Models to Wearable Cognitive Load Assessment via Lead Adaptation Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build PaintCopilot: Modeling Painting as Autonomous Artistic Continuation Personality Engineering with AI Agents: A New Methodology for Negotiation Research PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis nASR: An End-to-End Trainable Neural Layer for Channel-Level EEG Artifact Subspace Reconstruction in Real-Time BCI
A Prototypical Decision-Support Tool for Household Energy...
[Submitted on 13 Jun 2026] · 2026-06-16 · via cs.HC updates on arXiv.org

View PDF

Abstract:This paper presents the system architecture and operating logic of The Home-Energy Check-Up (New Zealand), a web-based public decision-support prototype designed to help New Zealand households identify avoidable energy-cost leakage, complete a short guided home inspection, and generate a prioritized behavior-first energy roadmap. The application is implemented as a single-file Python Streamlit system with session-state navigation, a household input dataclass, conservative low-high saving estimators, a seven-check inspection layer, a recommendation-ranking layer, visual analytics, anonymous Google Sheets persistence, downloadable reports, and a certificate-of-completion interface. The system does not claim to be a certified energy audit, New Zealand Building Code H1 verification method, Healthy Homes compliance statement, or guaranteed bill-forecasting engine. Instead, it operationalizes a practical educational workflow: start with money, collect only the minimum required household profile, convert user answers into a score and action set, estimate annual savings using transparent formulas, and convert behavior savings into a staged save-to-upgrade pathway. The manuscript details the front-end, state-management, calculation, data-storage, visualization, recommendation, deployment, privacy, and limitation layers of the prototype. It also identifies research-grade improvements required before the tool is used for validated impact assessment, including external validation against measured energy data, robust concurrent data writes, clearer uncertainty calibration, accessibility testing, and formal user evaluation. The contribution is a reproducible architecture for translating household energy advice into an interactive, gamified, data-light decision-support pathway for New Zealand homes.

Submission history

From: Abdollah Baghaei Daemei [view email]
[v1] Sat, 13 Jun 2026 23:52:35 UTC (1,168 KB)