scott davidoffdissertation defense familycontrolsmarthome the project on routine as resource for the...
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Scott DavidoffDissertation Defense
THE PROJECT ON
Routine as Resource for the Design of Learning SystemsScott Davidoff Dissertation Defense
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Scott DavidoffDissertation Defense
A pattern of behavior that is followed repeatedly, but is subject to change if conditions change
Winter 1964
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Scott DavidoffDissertation Defense
Koestler 1967
Routines reduce our attention needs
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Scott DavidoffDissertation Defense
Zerubavel 1981
Reduce attention needed for tasks
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Scott DavidoffDissertation Defense
Wakkary & Maestri 2007
Free attention for bigger challenges
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Scott DavidoffDissertation Defense
Wolin + Bennett 1984
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Scott DavidoffDissertation Defense
The cyclic nature of routine makes it a natural target for machine learning
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Scott DavidoffDissertation Defense
Machine learning can use this order
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Scott DavidoffDissertation Defense
Suchman 1983, Tolmie et al. 2002
Idiosyncrasies are hard to model
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Scott DavidoffDissertation Defense
Certain human routines can be modeled, increasing the scope of activity recognition
Machine learning
Opportunities
10
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Scott DavidoffDissertation Defense
The ability to use learned routines in end-user applications would solve a variety of human problems
HCI
Opportunities
11
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Scott DavidoffDissertation Defense
Dual-income family logistics
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Scott DavidoffDissertation Defense
Sequence of place and transportation (rides) that occur on daily, weekly, and seasonal cycles
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Scott DavidoffDissertation Defense
Darrah et al. 2000
Managing details can be difficult
14
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Scott DavidoffDissertation Defense
Frissen 2000
Routines give a feeling of control
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Scott DavidoffDissertation Defense
Beech et al. 2004
Life does not always follow routines
16
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Scott DavidoffDissertation Defense
Breakdowns lead to loss of control
17
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Scott DavidoffDissertation Defense
Perry et al. 2001, Ling + Campbell 2003
A constant need to follow updates
18
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Scott DavidoffDissertation Defense
Gneezy + Rustichini 1998, Darrah 2009
A constant source of anxiety
19
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Scott DavidoffDissertation Defense
We can learn a model of family logistical routines, and present that information to families to help them feel more in control of their lives
20
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Scott DavidoffDissertation Defense 21
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Scott DavidoffDissertation Defense 22
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Scott DavidoffDissertation Defense
2We can use sensing and modeling to synthesize missing information resources
3Show how to use the model and evaluate the impact of the information
1We can use fieldwork to identify missing but needed information resources
Fieldwork Modeling Validation
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Scott DavidoffDissertation Defense
Create an ordered list of places and rides
Attend to the details of a plan as it unfolds
Planning and coordinationLogistics
Coordinate
Plan
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Scott DavidoffDissertation Defense
Fieldwork1
25
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Scott DavidoffDissertation Defense
1805
22 Davidoff et al Ubicomp 2006Months
Months
Months0606
12Families
Families
Families
Davidoff et al Ubicomp 2007
Davidoff, Dey + Zimmerman CHI 2009
45 Months24Families
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Scott DavidoffDissertation Defense
Semi-Structured Interviews
Davidoff et al. Ubicomp 2006
27
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Scott DavidoffDissertation Defense scott davidoff, min kyung lee, anind dey + john zimmerman
Needs Validation
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Scott DavidoffDissertation Defense
Davidoff et al. Ubicomp 2007
User Enactments
29
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Scott DavidoffDissertation Defense
User Enactments
Davidoff et al. Ubicomp 2007
30
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Scott DavidoffDissertation Defense
GPS
Phone Calls
SMS
CalendarsDavidoff, Dey + Zimmerman CHI 2009
31
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Scott DavidoffDissertation Defense
528 phone interviews
109 activity Interviews
108 calendar months
Davidoff, Dey + Zimmerman CHI 2009
32
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Scott DavidoffDissertation Defense
Less than 20% of days go exactly as planned1Routines are not documented
People have incomplete knowledge of other people’s routines
People make plans that depend on incorrect information
2
3
4
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Scott DavidoffDissertation Defense 34
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Scott DavidoffDissertation Defense
Family E
Routine
Deviation, Scheduled
Deviation, Unscheduled
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Scott DavidoffDissertation Defense
Family EAll Families
Routine
Deviation, Scheduled
Deviation, Unscheduled
36
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Scott DavidoffDissertation Defense
Less than 20% exactly as planned
37
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Scott DavidoffDissertation Defense
Routineness of Family E Activities
38
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Scott DavidoffDissertation Defense
Routineness of Family E Activities
39
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Scott DavidoffDissertation Defense
Routineness of Family E Activities
40
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Scott DavidoffDissertation Defense
Routines are not documentedFieldwork Finding
Davidoff, Dey + Zimmerman CHI 2010
41
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Scott DavidoffDissertation Defense
Davidoff, Dey + Zimmerman CHI 2010
August September October November
42
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Scott DavidoffDissertation Defense
People have incomplete knowledge of other people’s routines
Fieldwork Finding
Davidoff, Dey + Zimmerman CHI 2010
43
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Scott DavidoffDissertation Defense
Davidoff, Dey + Zimmerman CHI 2010
44
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Scott DavidoffDissertation Defense
Davidoff, Dey + Zimmerman CHI 2010
45
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Scott DavidoffDissertation Defense
Davidoff, Dey + Zimmerman CHI 2010
46
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Scott DavidoffDissertation Defense
Davidoff, Dey + Zimmerman CHI 2010
47
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Scott DavidoffDissertation Defense
Davidoff, Dey + Zimmerman CHI 2010
48
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Scott DavidoffDissertation Defense
Davidoff, Dey + Zimmerman CHI 2010
49
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Scott DavidoffDissertation Defense
Davidoff, Dey + Zimmerman CHI 2010
50
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Scott DavidoffDissertation Defense
Davidoff, Dey + Zimmerman CHI 2010
51
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Scott DavidoffDissertation Defense
People make plans that depend on incorrect informationFieldwork Finding
Davidoff, Dey + Zimmerman CHI 2010
52
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Scott DavidoffDissertation Defense
Orthodontist
Scouts
School
Dad Work
Home
4:00 5:00 6:00 7:003:002:00 8:00
S16Dad
View of Plan: Dad
Check-up
Track Practice
53
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Scott DavidoffDissertation Defense
Orthodontist
Scouts
School
Dad Work
Home
4:00 5:00 6:00 7:003:002:00 8:00
S16Dad
View of Plan: S16
Paper Route
Track Practice
54
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Scott DavidoffDissertation Defense
Orthodontist
Scouts
School
Dad Work
Home
4:00 5:00 6:00 7:003:002:00 8:00
S16Dad
Who Will do the Paper Route?
Check-up
Track Practice
55
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Scott DavidoffDissertation Defense
Information gaps can break down coordination
No resources exist to find needed information
Davidoff, Dey + Zimmerman CHI 2010
56
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Scott DavidoffDissertation Defense
Modeling2
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Scott DavidoffDissertation Defense
2 31 Ride Detection
Driver Prediction
Predict Lateness
58
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Scott DavidoffDissertation Defense
In Situ Observation
In Situ Observation
Maintain Current Behaviors
Maintain Current Behaviors
Ubiquitous Sensing
Ubiquitous Sensing
GPS
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Scott DavidoffDissertation Defense
Parent drives kid to an activity
Parent drives kid from activity
Pick-ups and drop-offsRide
Pick-up
Drop-off
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Scott DavidoffDissertation Defense
Ride Detection
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Scott DavidoffDissertation Defense
Day Care
Work
Using GPS to Sense a Drop-Off
Parent Child 62
t3 t4 t5 t6t2t1 t7
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Scott DavidoffDissertation Defense
Day Care
Work
Using GPS to Sense a Drop-Off
Parent Child 63
t3 t4 t5 t6t2t1 t7
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Scott DavidoffDissertation Defense
Day Care
Work
Using GPS to Sense a Drop-Off
Parent Child 64
t3 t4 t5 t6t2t1 t7
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Scott DavidoffDissertation Defense
t3
Day Care
t4 t5 t6t2
Work
t1 t7
Using GPS to Sense a Drop-Off
Parent Child 65
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Scott DavidoffDissertation Defense
Day Care
Work
Using GPS to Sense a Pick-Up
Parent Child 66
t3 t4 t5 t6t2t1 t7
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Scott DavidoffDissertation Defense
Day Care
Work
Using GPS to Sense a Pick-Up
Parent Child
t3 t4 t5 t6t2t1 t7
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Scott DavidoffDissertation Defense
Day Care
Work
Using GPS to Sense a Pick-Up
Parent Child
t3 t4 t5 t6t2t1 t7
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Scott DavidoffDissertation Defense
GPS Ride Detection EvaluationFamily Precision Recall
How many of the sensed ridesare right
How many of the total ridesare sensed?
Pick-up Drop-off Pick-up Drop-off
A .991 .987 .912 .910
B .966 .962 .979 .981
C .913 .824 .971 .921
D .878 .873 .980 .944
E .931 .684 .959 .985
Mean .936 .866 .960 .950
.901 .955
69
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Scott DavidoffDissertation Defense
Smarter power management
Wi-Fi, Bluetooth, cell tower ID
Apply heuristics to modelingCultural norms, Individual Behavior
Single Location Sensor
GPS Sampling Rate
70
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Scott DavidoffDissertation Defense
Driver Prediction
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Scott DavidoffDissertation Defense
Name Meaning Values
Ln Location of pick-up or drop-off Place ID
RType Ride type Pick-up, Drop-off
DoW Day of week 0,1,2,3,4,5,6
ToD Discretized time of day (15 min) 1,2,3…96
drivert-j Driver for the last 5 rides to Ln Mom, Dad
Driver distribution model [0,1]
Driver Prediction Model Features
72
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Scott DavidoffDissertation Defense
Driver Prediction Performance x Number of Training Weeks of Data
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
73
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Scott DavidoffDissertation Defense
Driver Prediction Performance x Number of Training Weeks of Data
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
74
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Scott DavidoffDissertation Defense
Driver Prediction Performance x Number of Training Weeks of Data
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
1 24
75
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Scott DavidoffDissertation Defense
Lateness Prediction
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Scott DavidoffDissertation Defense 77
TnowTideal
Lateness in Minutes
Number of Examples
Distribution of Parent Late Arrivals
N = 83
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Scott DavidoffDissertation Defense
Name Meaning Values
R Whether the parent remembers
True, False
Lchild Location of the child Place ID
Lcurr Current location of a parent
Place ID
J Driver prediction model Mom, Dad
78
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Scott DavidoffDissertation Defense
Name Meaning Values
R Whether the parent remembers
True, False
Lchild Location of the child Place ID
Lcurr Current location of a parent
Place ID
J Driver prediction model Mom, Dad
T If the parent is traveling True, False
Lstart Starting location of a parent
Place ID
79
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Scott DavidoffDissertation Defense
Name Meaning Values
R Whether the parent remembers
True, False
Lchild Location of the child Place ID
Lcurr Current location of a parent
Place ID
J Driver prediction model Mom, Dad
T If the parent is traveling True, False
Lstart Starting location of a parent
Place ID
Empirical cumulative distribution (ecdf) of
on-time arrivals to Lchild
at time TnowTideal
[0,1]
80
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Scott DavidoffDissertation Defense
Name Meaning Values
R Whether the parent remembers
True, False
Lchild Location of the child Place ID
Lcurr Current location of a parent
Place ID
J Driver prediction model Mom, Dad
T If the parent is traveling True, False
Lstart Starting location of a parent
Place ID
Empirical cumulative distribution (ecdf) of
on-time arrivals to Lchild
at time TnowTideal
[0,1]
D Destination of a parent Place ID
81
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Scott DavidoffDissertation Defense
Name Meaning Values
R Whether the parent remembers
True, False
Lchild Location of the child Place ID
Lcurr Current location of a parent
Place ID
J Driver prediction model Mom, Dad
T If the parent is traveling True, False
Lstart Starting location of a parent
Place ID
Empirical cumulative distribution (ecdf) of
on-time arrivals to Lchild
at time TnowTideal
[0,1]
D Destination of a parent Place ID
82
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Scott DavidoffDissertation Defense 83
tideal - 30
A’ = 0.659
.6
.5
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Scott DavidoffDissertation Defense 84
tideal
A’ = 0.801
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Scott DavidoffDissertation Defense 85
tideal +10
A’ = 0.826
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Scott DavidoffDissertation Defense
We can learn a model of family logistical routines, and present that information to families to help them feel more in control of their lives
86
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Scott DavidoffDissertation Defense
Validation3
87
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Scott DavidoffDissertation Defense 88
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Scott DavidoffDissertation Defense
Do parents understand the view?
Do parents perceive that the information is valuable?
Do parents feel more in control having this view?
89
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Scott DavidoffDissertation Defense
1257
45 Davidoff et al Ubicomp 2006Davidoff et al Ubicomp 2007Davidoff, Dey + Zimmerman CHI 2009Davidoff et al. CHI 2010Months
Months24
24Families
Families
Families
Davidoff et al. Ubicomp 2011(in preparation)
90
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Scott DavidoffDissertation Defense
Davidoff et al. Ubicomp 2011 in preparation
Experience prototype: Doctor
91
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Scott DavidoffDissertation Defense 92
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Scott DavidoffDissertation Defense 93
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Scott DavidoffDissertation Defense
Davidoff et al. Ubicomp 2011 in preparation
Experience prototype: Kitchen
94
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Scott DavidoffDissertation Defense
It's nice to have a map of the day. I don't literally write all this stuff down, so sometimes it's just hard to keep in my head.
Visual Distills Details
“
95
−P2“”
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Scott DavidoffDissertation Defense
Because the calendar [is] all words and numbers, so you have to really think about …how long everything takes…
Visual Simplifies Calculation
“
96
−P10
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Scott DavidoffDissertation Defense
…With the visual you can see who's doing what at what time. You can make a decision about who's activity to change.
Visual Simplifies Calculation
97
−P10“”
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Scott DavidoffDissertation Defense
I would be able to know where everyone was gonna be, instead of having to ask around.
Visual Clarifies Intentions
“”98
−P11
“
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Scott DavidoffDissertation Defense
Venkatesh + Davis 2003Technology Acceptance Model-3
99
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Scott DavidoffDissertation Defense
…helps me do my job “as a parent.”
…would want my family to use it.
…more in control of details, more ready for changesPerception of Control
Behavioral Intention
Perceived Usefulness
100
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Scott DavidoffDissertation Defense 101
Perceived Usefulness
Behavioral Intention
Perception of Control
Supports Planning
Supports Awareness
7
6
5
4
3
2
1
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Scott DavidoffDissertation Defense
We can learn a model of family logistical routines, and present that information to families to help them feel more in control of their lives
102
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Scott DavidoffDissertation Defense
Contributions
103
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Scott DavidoffDissertation Defense
Suchman 1983, Tolmie et al. 2002
Certain routines can be modeled
104
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Scott DavidoffDissertation Defense
2 31 Ride Detection
Driver Prediction
Predict Lateness
105
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Scott DavidoffDissertation Defense
Commodity GPS with real power constraints
106
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Scott DavidoffDissertation Defense 107
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Scott DavidoffDissertation Defense
Breakdowns lead to loss of control
108
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Scott DavidoffDissertation Defense 109
Perceived Usefulness
Behavioral Intention
Perception of Control
Supports Planning
Supports Awareness
7
6
5
4
3
2
1
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Scott DavidoffDissertation Defense
Gneezy + Rustichini 1998, Darrah 2009
A constant source of anxiety
110
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Scott DavidoffDissertation Defense
Empower Parents
Davidoff et al. Ubicomp 2007
111
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Scott DavidoffDissertation Defense
Future Work
112
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Scott DavidoffDissertation Defense
Improve algorithms
Use algorithms to enable other family coordination systems
Add additional sensor inputs
Extend to other forms of routine
113
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Scott DavidoffDissertation Defense Neustaedter + Brush CHI 2006 114
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Scott DavidoffDissertation Defense
6pmOrthodontist6pmOrthodontist
Neustaedter + Brush CHI 2006 115
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Scott DavidoffDissertation Defense
6pmOrtho6pmOrthoPaper RoutePaper Route
Neustaedter + Brush CHI 2006 116
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Scott DavidoffDissertation Defense Brown et al. Ubicomp 2007
Baseball
117
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Scott DavidoffDissertation Defense
Baseball
Brown et al. Ubicomp 2007 118
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Scott DavidoffDissertation Defense
The project on
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Scott DavidoffDissertation Defense
Thanks for your time, brain power, and support
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Scott DavidoffDissertation Defense
Thanks to our sponsors
NSF IIS 1017429
Google Research Award
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Scott DavidoffDissertation Defense
Thanks to our supporters
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Scott DavidoffDissertation Defense
Thanks to my collaborators
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Scott DavidoffDissertation Defense
Thanks to my committee
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Scott DavidoffDissertation Defense
Thanks to my advisors
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Scott DavidoffDissertation Defense
Questions
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Scott DavidoffDissertation Defense
Image Credits
127
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Scott DavidoffDissertation Defense
QUESTIONSLIDES
128
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Scott DavidoffDissertation Defense
ROUTINE MODELINGRELATED WORK
129
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Scott DavidoffDissertation Defense
FORMULAS
130
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Scott DavidoffDissertation Defense
Driver Distribution
131€
φ =
driver = P1Ln ,Rtype,DoW
∑
driver = P1Ln ,Rtype,DoW
∑ + driver = P2Ln ,Rtype,DoW
∑
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Scott DavidoffDissertation Defense
LWDT
132€
d(y)LWq =
y ie− j
i xij −q j( )
2
∑
i∈labeled data,i≠q
∑
e− j
i xij −q j( )
2
∑i=q∑
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Scott DavidoffDissertation Defense
Bayesian Network
133
€
P(Rd | Lstartd ,Lstart
m ,Lcurrd ,Lcurr
m ,Lchild ,Td ,Tm ,φ)
![Page 134: Scott DavidoffDissertation Defense FAMILYCONTROLSMARTHOME THE PROJECT ON Routine as Resource for the Design of Learning Systems Scott Davidoff Dissertation](https://reader038.vdocument.in/reader038/viewer/2022110303/551455625503466d1a8b61be/html5/thumbnails/134.jpg)
Scott DavidoffDissertation Defense
RIDE SENSING TECHNICAL VERSION
134
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Scott DavidoffDissertation Defense
Davidoff, Dey & Zimmerman CHI 2011
135
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Scott DavidoffDissertation Defense
Two Kinds of Drop-Offs
136
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
Two Kinds of Drop-Offs
t3t2 ,t1 ,
137
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
Two Kinds of Drop-Offs
t3t2 ,t1 ,
138
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Scott DavidoffDissertation Defense
Two Kinds of Pick-Ups
139
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
Using GPS to Sense a Pick-Up
t3t2 ,t1 ,
140
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
Using GPS to Sense a Pick-Up
t3t2 ,t1 ,
141
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Scott DavidoffDissertation Defense
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
Using GPS to Sense a Drop-Off
142
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Scott DavidoffDissertation Defense
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }Using GPS to Sense a Drop-Off
143
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Scott DavidoffDissertation Defense
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
Using GPS to Sense a Drop-Off
144
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
Using GPS to Sense a Drop-Off
145
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
Using GPS to Sense a Drop-Off
€
(t1,P,CoT)∧(t1,C,CoT)∧
146
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
Using GPS to Sense a Drop-Off
€
(t2,P,Ln )∧(t2,C,Ln )∧
€
(t1,P,CoT)∧(t1,C,CoT)∧
147
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
Using GPS to Sense a Drop-Off
€
(t2,P,Ln )∧(t2,C,Ln )∧
€
(t3,P,¬CoT)∧(t3,C,Ln )
€
(t1,P,CoT)∧(t1,C,CoT)∧
148
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
Using GPS to Sense a Drop-Off
€
(t2,P,Ln )∧(t2,C,Ln )∧
€
(t3,P,¬CoT)∧(t3,C,Ln )
€
(t1,P,CoT)∧(t1,C,CoT)∧
149
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
€
(t1,P,¬CoT)∧(t1,C,Ln )∧
Using GPS to Sense a Pick-Up
150
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
€
(t1,P,¬CoT)∧(t1,C,Ln )∧
Using GPS to Sense a Pick-Up
151
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
€
(t1,P,¬CoT)∧(t1,C,Ln )∧
€
(t2,P,Ln )∧(t2,C,Ln )∧
Using GPS to Sense a Pick-Up
152
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
€
(t1,P,¬CoT)∧(t1,C,Ln )∧
€
(t2,P,Ln )∧(t2,C,Ln )∧
€
(t3,P,CoT)∧(t3,C,CoT)
Using GPS to Sense a Pick-Up
153
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Scott DavidoffDissertation Defense
P C
5:15
Day Care
5:30 5:45 6:005:00
Work
4:45 6:15
€
States = Ln,T |CoT,else{ }
€
People = P,C{ }
€
(t1,P,¬CoT)∧(t1,C,Ln )∧
€
(t2,P,Ln )∧(t2,C,Ln )∧
€
(t3,P,CoT)∧(t3,C,CoT)
Using GPS to Sense a Pick-Up
154
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Scott DavidoffDissertation Defense
SCHOOL HALF DAY BREAKDOWN
155
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Scott DavidoffDissertation Defense
Baseball
School
Dad Work
Home
4:00 5:00 6:00 7:003:002:00 8:00
S16Dad
View of Plan: S16
Track Practice
156
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Scott DavidoffDissertation Defense
Baseball
School
Dad Work
Home
4:00 5:00 6:00 7:003:002:00 8:00
S16Dad
View of Plan: S16
Track Practice
157
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Scott DavidoffDissertation Defense
Baseball
School
Dad Work
Home
4:00 5:00 6:00 7:003:002:00 8:00
S16Dad
Dad Started Baseball League
Track Practice
158
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Scott DavidoffDissertation Defense
OTHER APPLICATIONS
159
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Scott DavidoffDissertation Defense
Orthodontist
Scouts
School
Dad Work
Home
4:00 5:00 6:00 7:003:002:00 8:00
S16Dad
Detect conflict with unlabeled routine
Track Practice
Check-up
Paper Route
160
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Scott DavidoffDissertation Defense
Baseball
School
Dad Work
Home
4:00 5:00 6:00 7:003:002:00 8:00
S16Dad
Dad Started Baseball League
Track Practice
161
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Scott DavidoffDissertation Defense
ACTIVITY SCATTERPLOT
162
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Scott DavidoffDissertation Defense
RIDE SENSING ERRORS
163
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Scott DavidoffDissertation Defense
Smarter power managementGPS Sampling Rate
164
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Scott DavidoffDissertation Defense
Smarter power management
Wi-Fi, cell tower, bluetoothSingle Location Sensor
GPS Sampling Rate
165
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Scott DavidoffDissertation Defense
5:15
Home
5:30 5:45 6:005:00
Work
4:45 6:15
Simultaneous Departure Errors
School
Parent Child 166
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Scott DavidoffDissertation Defense
Smarter power management
Wi-Fi, cell tower, bluetooth
Apply heuristics to modelingCultural norms, Individual Behavior
Single Location Sensor
GPS Sampling Rate
167
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Scott DavidoffDissertation Defense
1:00pm
Home
2:00 3:00 4:0012:00
Work
11:00 5:00
Lost Signal During Daytime
School
Parent Child 168
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Scott DavidoffDissertation Defense
DRIVER PREDICTION ERRORS
169
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Scott DavidoffDissertation Defense
Driver Prediction Performance x Number of Training Weeks of Data
170
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Scott DavidoffDissertation Defense
USER ENACTMENT PICS
171
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Scott DavidoffDissertation Defense
User Enactments
Davidoff et al. Ubicomp 2007
172
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Scott DavidoffDissertation Defense
User Enactments
Davidoff et al. Ubicomp 2007
173