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Summary of A User Study on Contrastive Explanations For Multi-effector Temporal Planning with Non-stationary Costs, by Xiaowei Liu et al.


A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs

by Xiaowei Liu, Kevin McAreavey, Weiru Liu

First submitted to arxiv on: 20 Sep 2024

Categories

  • Main: Artificial Intelligence (cs.AI)
  • Secondary: Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
A novel approach to temporal planning in smart homes is proposed, integrating contrastive explanations within an end-user application. The application involves users setting appliance tasks, paying for energy based on dynamic tariffs, utilizing high-capacity battery storage, and selling excess energy back to the grid. This multi-effector planning problem requires a custom domain-dependent planner that can handle reasonable appliance numbers and time horizons, as existing PDDL-based planners are insufficient. To evaluate this approach, a controlled user study with 128 participants was conducted using an online crowd-sourcing platform based on two user stories. The results show that users provided with contrastive questions and explanations have higher satisfaction levels, improved understanding, and rate the recommended AI schedule more favorably compared to those without access to these features.
Low GrooveSquid.com (original content) Low Difficulty Summary
Smart homes are getting smarter! In this research, scientists created a special planner for smart home devices. People can control their appliances, pay for energy, store power in batteries, and even sell excess energy back to the grid. This is like a big puzzle, and they needed a custom solution to make it work. They tested their idea with 128 people online and found that when people got explanations for why certain things were happening, they were happier and more satisfied with the results.

Keywords

* Artificial intelligence