Keeping the Resident in the Loop: Adapting the Smart Home to the User
Abstract
Advancements in supporting fields have increased the likelihood that smart-home technologies will become part of our everyday environments. However, many of these technologies are brittle and do not adapt to the user's explicit or implicit wishes. Here, we introduce CASAS, an adaptive smart-home system that utilizes machine learning techniques to discover patterns in resident's daily activities and to generate automation polices that mimic these patterns. Our approach does not make any assumptions about the activity structure or other underlying model parameters but leaves it completely to our algorithms to discover the smart-home resident's patterns. Another important aspect of CASAS is that it can adapt to changes in the discovered patterns based on the resident implicit and explicit feedback and can automatically update its model to reflect the changes. In this paper, we provide a description of the CASAS technologies and the results of experiments performed on both synthetic and real-world data.
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Conflict detection and resolution in home and building automation systems: a literature review
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Contrastive Accelerometer–Gyroscope Embedding Model for Human Activity Recognition
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Robotic Ubiquitous Cognitive Ecology for Smart Homes
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Using Bayesian networks for daily activity prediction
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Self-citationEdgeOSH: A Home Operating System for Internet of Everything
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- Authors
- Rashidi, P., & Cook, D. J.
- Affiliations
- Washington State University (US)
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
- Published
- 2009-09
- Volume
- 39
- Issue
- 5
- Pages
- 949-959
- ISSN
- 1083-4427 (ISSN-L)
- 1558-2426
- OpenAlex
- W2121269968
- Cited by
- 443
- References
- 25
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 13 · 2023: 16 · 2022: 19 · 2021: 24 · 2020: 31 · 2019: 41 · 2018: 30 · 2017: 37 · 2016: 21 · 2015: 35 · 2014: 36 · 2013: 34 · 2012: 30
- FWCI
- 29.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- home automation, CASAS, user modeling, implicit feedback, model updating
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