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FROM TODAY’S AUGMENTED HOUSES TO TOMORROW’S SMART HOMES
UbiComp 2014Seattle, 09/15/2014
Sarah Mennicken, Jo Vermeulen, Elaine Huang
NEW DIRECTIONS FOR SMART HOME RESEARCH
Future smart homes will collaborate with their inhabitants and identify opportunities for automation that support their goals and values.
KEY TAKE AWAY
•Smart homes are not an under-explored field anymore.•Lots of related work in research•Increasing commercial smart home solutions
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MOTIVATION
•Smart homes are not an under-explored field anymore.•Lots of related work in research•Increasing commercial smart home solutions
•Visions and challenges keep on evolving.
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MOTIVATION
METHOD
•Literature review •Initial set of papers + top 50 ACM DL results (“home automation” ,“smart home”) = 131 papers, posters, and reports
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METHOD
•Literature review •Initial set of papers + top 50 ACM DL results (“home automation” ,“smart home”) = 131 papers, posters, and reports
•Focus on domestic environments and/or user experience?
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METHOD
•Literature review •Initial set of papers + top 50 ACM DL results (“home automation” ,“smart home”) = 131 papers, posters, and reports
•Focus on domestic environments and/or user experience?
•Affinity Diagramming on 47 most relevant papers
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METHOD
•Literature review •Initial set of papers + top 50 ACM DL results (“home automation” ,“smart home”) = 131 papers, posters, and reports
•Focus on domestic environments and/or user experience?
•Affinity Diagramming on 47 most relevant papers
•Industry and home observations4
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… the past …the present
Technical feasibility and interoperabilitye.g., Edwards and Grinter 2001
Meaningful technologiese.g., Harper 2011, Rode 2012
CHALLENGES
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CHALLENGES
… the past …the present
Complex domestic spacese.g., Tolmie et al. 2002
Increasing complexity due to more users, more devices, more modalitiese.g., Harper 2011, Urban et al. 2011
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… the past …the present
End-user configuration of sensors and actuatorse.g., Dey and Sohn 2003, Humble et al. 2003, Truong et al. 2004
Understanding and interacting with machine learning and artificial intelligencee.g., Stumpf et al. 2012, Yang and Newman 2013
CHALLENGES
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Understanding machine learning and interacting with artificial intelligence
Future smart homes will collaborate with their inhabitants.
CHALLENGES ➔ VISIONS
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Understanding machine learning and interacting with artificial intelligence
Future smart homes will collaborate with their inhabitants.
Increasing complexity due to more users, more devices, more modalities
Future smart homes will help to identify opportunities for automation.
CHALLENGES ➔ VISIONS
9
Understanding machine learning and interacting with artificial intelligence
Future smart homes will collaborate with their inhabitants.
Increasing complexity due to more users, more devices, more modalities
Future smart homes will help to identify opportunities for automation.
Meaningful technologies Future smart homes will support their goals and values.
CHALLENGES ➔ VISIONS
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How will future smart homes collaborate with their inhabitants?
Mediation and intelligibility are key Bellotti & Edwards 2001, Yang et al. 2013
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How will future smart homes collaborate with their inhabitants?
Mediation and intelligibility are key Bellotti & Edwards 2001, Yang et al. 2013
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How will future smart homes collaborate with their inhabitants?
Mediation and intelligibility are key Bellotti & Edwards 2001, Yang et al. 2013
‘Nest Diamond Thermostat by Grant Sewell. https://flic.kr/p/bDyiFMLicense at https://creativecommons.org/licenses/by-sa/2.0/deed.en
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How will future smart homes collaborate with their inhabitants?
Mediation and intelligibility are key Bellotti & Edwards 2001, Yang et al. 2013
Focus on deviations and exceptions from routines Davidoff et al. 2006
‘Nest Diamond Thermostat by Grant Sewell. https://flic.kr/p/bDyiFMLicense at https://creativecommons.org/licenses/by-sa/2.0/deed.en
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How can future smart homes help to identify opportunities for automation?
Maintaining discoverability of desirable solutions as complexity of sensor/actuator networks increases.
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How can future smart homes help to identify opportunities for automation?
Maintaining discoverability of desirable solutions as complexity of sensor/actuator networks increases.
Dixon et al. 2010
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How can future smart homes help to identify opportunities for automation?
Maintaining discoverability of desirable solutions as complexity of sensor/actuator networks increases.
Dixon et al. 2010
studied by Ur et al. 2014
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How will future smart homes support goals and values?
Interest in achieving peace of mind Brush et al. 2011, Mennicken & Huang 2012Feeling connected to one’s home Takayama et al. 2012
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How will future smart homes support goals and values?
Interest in achieving peace of mind Brush et al. 2011, Mennicken & Huang 2012Feeling connected to one’s home Takayama et al. 2012
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How will future smart homes support goals and values?
+ = ?Interest in achieving peace of mind Brush et al. 2011, Mennicken & Huang 2012Feeling connected to one’s home Takayama et al. 2012
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How will future smart homes support goals and values?
+ = ?
+ =? ?feeling like good parentsLee at al. 2008construction of family identity Davidoff et al. 2006
Interest in achieving peace of mind Brush et al. 2011, Mennicken & Huang 2012Feeling connected to one’s home Takayama et al. 2012
Future smart homes will collaborate with their inhabitants and identify opportunities for automation that support their goals and values.
KEY TAKE AWAY
Many thanks to Gunnar Harboe, Helen He, Christian Remy, Kris Luyten, Johannes Schöning, and Blase Ur.
Thanks to all the researchers sharing their work with us to build upon!
THANKS!
FROM TODAY’S AUGMENTED HOUSES TO TOMORROW’S SMART HOMES
Sarah Mennicken, Jo Vermeulen, Elaine Huang
NEW DIRECTIONS FOR SMART HOME RESEARCH
collaboration
opportunities for automation
goals and values