research-article

Learning from a learning thermostat: lessons for intelligent systems for the home

Authors:

Mark W. NewmanAuthors Info & Claims

UbiComp '13: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

Pages 93 - 102

https://doi.org/10.1145/2493432.2493489

Published: 08 September 2013 Publication History

Abstract

Everyday systems and devices in the home are becoming smarter. In order to better understand the challenges of deploying an intelligent system in the home, we studied the experience of living with an advanced thermostat, the Nest. The Nest utilizes machine learning, sensing, and networking technology, as well as eco-feedback features. We conducted interviews with 23 participants, ten of whom also participated in a three-week diary study. Our findings show that while the Nest was well-received overall, the intelligent features of the Nest were not perceived to be as useful or intuitive as expected, in particular due to the system's inability to understand the intent behind sensed behavior and users' difficulty in understanding how the Nest works. A number of participants developed workarounds for the shortcomings they encountered. Based on our observations, we propose three avenues for future development of interactive intelligent technologies for the home: exception flagging, incidental intelligibility, and constrained engagement.

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Cited By

Adibi SRajabifard AShojaei DWickramasinghe N(2024)Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive AnalysisSensors10.3390/s2409279324:9(2793)Online publication date: 27-Apr-2024
https://doi.org/10.3390/s24092793
Katzburg ORoimi MFrenkel AIlan RBitan Y(2024)The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation StudyJMIR Human Factors10.2196/5692411(e56924-e56924)Online publication date: 1-Aug-2024
https://doi.org/10.2196/56924
Yun SLim YKostakos VKay JHoang T(2024)Toolkit Design for Building Camera Sensor-Driven DIY Smart HomesCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678363(256-261)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3678363
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Index Terms

Learning from a learning thermostat: lessons for intelligent systems for the home
1. Human-centered computing

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Published In

cover image ACM Conferences

UbiComp '13: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

September 2013

846 pages

ISBN:9781450317702

DOI:10.1145/2493432

General Chairs:
Friedemann Mattern
ETH Zurich, CH
,
Silvia Santini
TU Darmstadt, DE
,
Program Chairs:
John F. Canny
UC Berkeley, US
,
Marc Langheinrich
Università della Svizzera italiana, CH
,
Jun Rekimoto
University of Tokyo, JP

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Published: 08 September 2013

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UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 8 - 12, 2013

Zurich, Switzerland

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UbiComp '13 Paper Acceptance Rate 92 of 394 submissions, 23%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

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https://doi.org/10.3390/s24092793
Katzburg ORoimi MFrenkel AIlan RBitan Y(2024)The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation StudyJMIR Human Factors10.2196/5692411(e56924-e56924)Online publication date: 1-Aug-2024
https://doi.org/10.2196/56924
Yun SLim YKostakos VKay JHoang T(2024)Toolkit Design for Building Camera Sensor-Driven DIY Smart HomesCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678363(256-261)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3678363
Lee YLim Y(2024)How We Use Together: Coordinating Individual Preferences for Using Shared Devices at HomeProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661634(3407-3418)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661634
Jain PXu ADownes TKim IKhan TBiehl JLee A(2024)Understanding Perceived Utility and Comfort of In-Home General-Purpose Sensing through Progressive ExposureProceedings of the ACM on Human-Computer Interaction10.1145/36374328:CSCW1(1-32)Online publication date: 26-Apr-2024
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Vasalou AGauthier ASerta ABeşevli CTurner SPayler RGill RMcAreavey KLoukas GLiu WBeneito-Montagut R(2024)In pursuit of thermal comfortInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103245186:COnline publication date: 1-Jun-2024
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Gallo SPaternò FMalizia A(2024)A conversational agent for creating automations exploiting large language modelsPersonal and Ubiquitous Computing10.1007/s00779-024-01825-5Online publication date: 4-Jul-2024
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Siva Barathi AManapragada NRai PShukla SShukla A(2024)Artificial Intelligence and Machine Learning-Based Building Solutions: Pathways to Ensure Occupant Comfort and Energy Efficiency with Climate ChangeBig Data, Artificial Intelligence, and Data Analytics in Climate Change Research10.1007/978-981-97-1685-2_4(57-79)Online publication date: 20-May-2024
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Tolino UMariani ITolino UMariani I(2024)Shaping Hidden Interfaces for Situated InteractionsDesign Behind Interaction10.1007/978-3-031-67416-7_6(79-90)Online publication date: 8-Aug-2024
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Demeure ACaffiau S(2023)Ordonnancement dans l’habitat intelligentRevue Ouverte d'Intelligence Artificielle10.5802/roia.504:1(53-76)Online publication date: 30-May-2023
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