ubicomp 2013 talk on device dynamics at home
DESCRIPTION
TRANSCRIPT
Home Computing Unplugged: Why, Where and When People Use Different Connected Devices at Home
Fahim Kawsar A. J. BrushBell Labs Microsoft Research
Research Objective
Understanding Residential Network Activity
What devices people use to engage with what kind of Internet Activities and why? How Location and Time influence the device use and why?
When and how frequently households engage with what kind of activities?Can we find homophily across households based on their Internet activities?
Can we predict households Internet activities?
Smart Pricing with Sponsored Content
Collective MeasureNetwork Resource Planning
COPYRIGHT © 2012 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
Business Intelligence for Service Opportunities
?? ubicomp...Informed Design of Future Home Computing
What devices people use to engage with what kind of Internet Activities and why? How Location and Time influence the device use and why?
Research Objective
Understanding Residential Network Activity
Kraut et. al. “The HomeNet Field Trial of Residential Internet Services.” Communications of the ACM 1996
Brush et. al. “Yours, Mine and Ours? Sharing and Use of Technology in Domestic Environments.” UbiComp 2007
Woodruff et. al. “Portable, but Not Mobile: A Study of Wireless Laptops in the Home.” Pervasive 2007
What We learnt in the past...
Study Methodology
Online Survey
Semi-StructuredInterview
Internet ActivityLog
Internet Activity LogWhat are the most popular internet activities in the home? Is there a temporal pattern?
Dataset : Project LeYLabIn-Home Internet Activity Traces
Living Lab for Fiber based Services in the City of Kortrijk, Belgium.
ALU 7750 Service Router with Report and Analysis Manager (RAM) was used in the backbone.
86 Households
75 Applications
60 Days
9288000 Data Points
Web Communication
Web ActivityTypes
Online Gaming
Web Browsing
File Sharing
Online Shopping
Video Watching
Home Working
Semantically identical applications were grouped together into 8 distinct Activity Types and most
popular 6 activities were selected for subsequent study.
This selection was based on a combination of accumulated network traffic, frequency, duration and temporal regularity
Social Networking
Application to Activity Mapping
Accumulated activity footprint of a representative household, activity is spread through out the day, with higher engagements during the later hours.
Family Activity Trajectory
Time of the Day
No o
f Day
s
0
5
10
15
20
25
6 AM 8 AM 10 AM 12 PM 2 PM 4 PM 6 PM 8 PM 10 PM 12 AM 2 AM 4 AM
Web Communication
Soical Networking
Online Gaming
Home Working
Online Shopping
Video Watching
Online SurveyWhat devices people own, and how these devices are used for the most popular internet
activities in the home?
55 the number of families
189 the number of family members
53%male
72%19-55 Years
Gender Generation
19-55
< 18
> 55
Survey Demographics
One Survey per Family
Device Ownership
Activity - Device Dynamics
Survey Coverage
Response : Device Ownership
7Laptop
89%
64%
36%
6Tablet
67%
29%
71%
5Smart Phone
65%
90%
10%
>Game Console
38%
33%
67%
:IPTV
69%
28%
72%
5iPod Touch
35%
83%
17%
Personal
Shared
8Desktop PC
51%
56%
44%
Penetration
Response : Activity Device Dynamics
8765>:5
0 50 100 150 200
Web Communication
Social Networking
Online Gaming
Home Working
Online Shopping
Video Watching
PC
Laptop
Tablet
Smart Phone
Game Console
IPTV
iPod Touch
Frequency Count
Semi-Structured InterviewWhat devices people use to engage with what kind of Internet Activities and why?
How Location and Time influence the device use and why?
18 the number of families
62 the number of family members
55%female
52%19-55 Years
Gender Generation
19-55
< 18
> 55
Demographics
Interview Stages
Demographic Questionnaire
Sketching Exercise
Semi-Structured Discussion
Home Tour
Contextual Factors
Semi-Structured Discussion
Time
Location
Screen Size
Portability
Interaction
Always On
Usability
Application
File System
Physical Setting
Communality
Multi-Tasking
Activity Who WhichDevices
Why
Past 30 days Activity Trajectory of the Family
Device Context Software Context Usage Context
8
7
6
5
50 4 8 12 16 20
PrimarySecondaryTertiary
PC
Laptop
Tablet
Smart Phone
iPod Touch
Frequency Count
CommunalityApplicationFactors
Device Context
Software Context
Usage Context
Laptop
Tablet
Smart Phone
iPod Touch
Desktop PC 8
7
6
5
50 10 20 30 40 50
Screen Size
Portability
Interaction
Always On
Usability
Application
File System
Physical Setting
Communality
Multitasking
Relationship between Device Preference and
Selection Reasons p < 0.001
Frequency Count
Social Network - Device Dynamics
Multitasking
“I do all my social networking on my iPad in the evening with my wife while she is in the kitchen preparing dinner or watching TV in the living room. Definitely I
hear less complaints for not spending time with her (smiling...).”
- Husband, Age:33
8765:5
0 3 6 9 12 15
Online Video Watching - Device Dynamics
Device Context
Software Context
Usage Context
Frequency Count
Communality
MultitaskingPortabilityFactors
Screen SizePortabilityInteractionApplicationPhysical SettingCommunalityMultitasking
8
7
6
5
:
50 8 16 24 32 40
Relationship between Device Preference and
Selection Reasons p < 0.001
PC
Laptop
Tablet
Smart Phone
IPTV
iPod Touch
PrimarySecondaryTertiary
PC
Laptop
Tablet
Smart Phone
IPTV
iPod Touch
Frequency Count
“I spent a lot of time watching recipes on YouTube, especially while cooking in the kitchen. I usually use my Tablet, I like its size, easy to handle..”
- Wife, Age:31
Web Communication
Web ActivityTypes
Online Gaming
Web Browsing
File Sharing
Online Shopping
Video Watching
Home Working
Social Networking
The paper discusses the dynamics between other web activities and devices.
How Location and Time influence the device use and why?
Living Room
Bedroom
Kitchen
Home Office
Bathroom
0 16 32 48 64 80
Web CommunicationSocial NetworkingOnline GamingHome WorkingOnline ShoppingVideo Watching
Frequency Count
Spatial DynamicsKitchens and bathrooms, rare or non-existent locations for computing in the past, are now
common for several activities.
Most of the bedroom computing (gaming and video) is done by teenagers and young adults.
Bathroom is more popular than Bedroom for Social Networking.
8%8%
9%
26% 20%
17%
12%
Living Room
Desktop PC Laptop Tablet Smart Phone Game Console IPTV iPod Touch
16%
2%2%
36% 18%
16%
11%
BedRoom
6%5%2%
40% 27%
18%2%
Kitchen
41%
18%
23%
18%
Home Office
23%
50%
27%
Bath Room
“I usually do my Facebooking in the Bathroom, good use of my time (smiling..) and sometimes I watch videos there too ...”
- Only Son, Age:16
Online Gaming shows interesting patterns.
Social Networking was not dominant activity through out the day.
Strong Engagement with Online Shopping and Video Watching is observed during the late part of the day.
Temporal Dynamics
Morning
Noon
After Noon
Evening
Night
Late Night
0 16 32 48 64 80
Web CommunicationSocial NetworkingOnline GamingHome WorkingOnline ShoppingVideo Watching
Frequency Count
(06:00 - 11:59)
(12:00 - 13:59)
(14:00 - 16:59)
(17:00 - 19:59)
(20:00 - 22:59)
(23:00 - 12:59)
The Transformation of Desktop PC
Activity First, Device Next
The Role of Applications
Less Contention, More Personal Space
Summary
1
2
3
We offered a reflection on how connected devices are used in home, and how their usage dynamics has evolved over the years based on a mixed method study on 86 Belgium homes.
We offered a set of design implications for future home computing applications by uncovering some of the facts that drives users preference for selecting specific device.
Our findings highlight the way home computing has truly become unplugged, leaving behind the few favoured places in the home where people used technology in the past to spread out throughout the home into new locations.
