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Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

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Page 1: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Consumers & Elders

Sunny ConsolvoIntel Research Seattle & UW iSchool

Technology & SocietyNovember 17, 2005

Page 2: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 2

What do you think?

S1: Consumers have lost all control over how personal information is collected and used by companies

Strongly

Agree

Somewhat

Agree

Somewhat

Disagree

Strongly

Disagree

Page 3: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 3

What do you think?

Strongly

Agree

Somewhat

Agree

Somewhat

Disagree

Strongly

Disagree

S2: Most businesses handle the personal information they collect about consumers in a proper and confidential way

Page 4: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 4

What do you think?

Strongly

Agree

Somewhat

Agree

Somewhat

Disagree

Strongly

Disagree

S3: Existing laws and organizational practices provide a reasonable level of protection for consumer privacy today

Page 5: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 5

Scoring your responses

S1 response:

S2 response:

S3 response:

Strongly

Agree

Somewhat

Agree

Somewhat

Disagree

Strongly

Disagree

Strongly

Agree

Somewhat

Agree

Somewhat

Disagree

Strongly

Disagree

Strongly

Agree

Somewhat

Agree

Somewhat

Disagree

Strongly

Disagree

Page 6: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 6

Who has 0 points?

Thanks to Privacy & American Business for allowing us to use the Westin/Harris Privacy Segmentation Model

You are: Privacy Unconcerned When it comes to consumer privacy, you…

have “little to no concern about consumer privacy issues.”

Page 7: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 7

Thanks to Privacy & American Business for allowing us to use the Westin/Harris Privacy Segmentation Model

Who has 1-2 points?

You are a: Privacy Pragmatist When it comes to consumer privacy, you…

“ask what benefits [you] get as consumers in sharing [your] personal information to balance against risks to [your] privacy interests, and [you] usually favor a mixture of government and private solutions.”

Page 8: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 8

Who has 3 points?

Thanks to Privacy & American Business for allowing us to use the Westin/Harris Privacy Segmentation Model

You are a: Privacy Fundamentalist When it comes to consumer privacy, you…

have “very high privacy concern” and are “passionate about what [you see] as business threats to [your] consumer privacy, and [favor] active government regulation of business and information practices”

Page 9: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 9

How many of you use a retail store loyalty card(s)?

Who uses a loyalty card and is a fundamentalist?

Page 10: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 10

Selling their Secrets: A Look at Privacy Fundamentalists

Collaborators:

Jennifer Rode (UC Irvine)

David McDonald (UW)

Christine Riley (Intel Research)

Page 11: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 11

The idea…

Can tools like the Westin/Harris Privacy Segmentation Model help us design privacy-observant technologies?

Page 12: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 12

Our study

95 participants from Seattle area 46 male / 49 female Ages: 18-55 Mix of: marital & employment statuses,

education & income levels, religions Most: middle-class Christian Caucasians

with Bachelor’s degrees

Page 13: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 13

Methodology

(11) one-hour sessions of 6-11 participants each at our lab in Aug 2004

3 questionnaires: 6-factor personality questionnaire (6FPQ) Demographics & technical experience Loyalty cards, cell phones, & privacy

Westin/Harris Privacy Seg. Model

Compensation: $50 gift card

Page 14: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 14

Our hypothesis…

Participants’ privacy classifications would help predict their behavior with potentially invasive technologies such as store loyalty cards i.e., fundamentalists wouldn’t use loyalty cards or

would create schemes to protect their privacy (e.g., swapping cards, fake data, etc.)

Page 15: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 15

Participants’ Classifications (compared to U.S.)

P&AB ’00 (N=1011)

P&AB ’01 (N=1529)

P&AB ’02 (N=2924)

P&AB ’03 (N=3462)

This study ‘04

(N=95)

Fundamentalists 25% 34% 37% 36% 44.2%

Pragmatists 63% 58% 54% 53% 44.2%

Unconcerned 12% 8% 8% 11% 11.6%

Page 16: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

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Some results

No meaningful differences in patterns of personality profiles observed across classifications

No major demographic differences

Page 17: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 17

Store Loyalty Cards

97% (N=95) reported having a store loyalty card

Type of “most commonly used card” for most: grocery (90 of 92)

95% (N=92) reported using their “most commonly used card” at every visit

Page 18: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 18

Just the fundamentalists

95% of fundamentalists (N=42) used a store loyalty card

Type of most commonly used card for all 40: grocery

90% (N=40) used it at every visit

Privacy-protecting schemes were seldom employed

Page 19: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 19

A few schemers…

While not statistically significant… (4) individuals gave a fake name (3) did not use the card at every visit:

(1) used it only when purchasing with a credit card

(2) used it only when purchasing items that required the card for a discount

All (7) schemers were fundamentalists

Page 20: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 20

What does this mean?

Fundamentalists’ behaviors conflicted with their attitudes

Why? Perhaps fundamentalists…

do not understand the privacy risks of using loyalty cards distrust businesses in general but trust their grocery store value financial savings over consumer privacy and many other explanations…

Bottom line: we need to know more

Page 21: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 21

Switching Gears…

Page 22: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 22

The CareNet Display

Collaborators:

Peter Roessler (UC Berkeley)

Brett E. Shelton (UW)

Page 23: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 23

Meet Rita…

Rita was one of the elders in our study She is…

83 years old Lives alone Conditions:

Mild dementia Type 2 Diabetes (takes insulin)

Page 24: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 24

Rita’s Care Network

Drastic life changer:daughter Hannah

Significant contributor:son Simon

Significant contributor:son Zack

Neighbor

Daughter-in-law

Part-time professional caregiver

Son

Hannah’s boyfriend

Daughter-in-law

Page 25: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 25

The focus of our work

Improve the quality of life for ALL care network members, including the elder

Help members coordinate care activities Ensure elder gets care she needs Give time back to overburdened members

Page 26: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 26

The CareNet Display

Interactive digital picture frame

Augments photo of elder with updates

Goal: help local care network members provide day-to-day care

Page 27: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 27

Target users

Local care network members Provide elder’s day-to-day care Most are 40-65 years of age Family, friends, and neighbors of the elder Comfort & experience with technology vary

quite a bit

Page 28: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 28

Medications Meals

Outings

Activities

MoodCalendar

Fall Alert & History

Page 29: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 29

Get an overall picturefrom the main screen

Dig for details by touchingan event’s icon

Page 30: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

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See the trend for the pastseveral days

Page 31: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

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Control for elders: Who sees what

Different updates for different users

Page 32: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

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Control for elders: Not sharing an update

If this morning’s breakfast =

Page 33: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 33

Control for elders: Not sharing an update

Then breakfast update =

Page 34: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

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Study: Participants

4 care networks in the Seattle area: 4 elders, three female (aged 80-91)

2 had mild dementia, but were reasonably independent

9 network members, five female (aged 51-65)

i.e., 2-3 network members per elder who were not living with the elder or each other

Page 35: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 35

Methodology

September – December 2003 In home Wizard of Oz deployments

Duration: 3 weeks/network Semi-structured interviews before & after

deployments No special instructions on:

how or when to use it where to place it

Page 36: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

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Wizard of Oz-Style Updates

Page 37: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 37

CareNet Display Prototype

Touch-screen tablet PC in a custom built beech wood frame

UI on a web-browser (not obvious)

Wireless GPRS card for always-on Internet access

Page 38: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 38

Where they kept it

In often used, common areas of the home: kitchen, home office, family / TV room, dining room

Not kept in personal places like the bedroom or bathroom

Page 39: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 39

Interaction

Drastic Life Changers reported… checking frequently through casual glancing only dug for details occasionally

Significant Contributors & Peripherally Involved Members reported… casually glanced for “red” icons in passing interacted with the display as often as 10x/day

novelty effect?

Page 40: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 40

Drastic Life Changers: More “Me time”

The CareNet Display did many of their “information dissemination” tasks

More relaxed because they knew that others had the same information they did—less of a burden than knowing alone

Page 41: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 41

Drastic Life Changers: “Meaningful” conversations

Got information they needed without having to ask “demeaning” questions, e.g., Did you take your meds today, Mom? What did you have for breakfast?

Spent the saved time discussing “more meaningful” things with the elders, e.g., the grandkids

Page 42: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 42

Significant Contributors:New appreciation for others

Increased awareness of how much others contribute to the elder’s care e.g., Simon and Zack mentioned that

Hannah did a lot more than they realized

Many significant contributors originally thought that they and the drastic life changer contributed equally

Page 43: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 43

Peripherally Involved: Facilitated communication

Many of these members have difficulty starting conversations with elders

Knowing what the elder did gave them something to talk about, e.g., How was the senior center today?

The frequency of their communications increased They also got excited about being more involved

Page 44: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 44

Elders: Improved Care

Regular, structured reports & access to previous updates helped members diagnose problems e.g., Rita’s lack of food variety

Page 45: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 45

Elders: Not as open anymore

Pre-deployment: very open sharing all 7 types of information with local members Only expressed concern with distant members

Post-deployment: no change with drastic life changers & significant contributors, but want restrictions for some peripherally involved e.g., alcoholic grandson or forgetful neighbor

Page 46: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 46

Elders: Experience with Study

Really liked talking with Peter and the other researchers so often Potential “premium” service instead of / in addition

to sensor solution? Did not want a display of themselves

Same in pre- and post-deployment interviews

Page 47: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 47

Challenges: When the display stopped being ambient

The glowing screen disturbed participants who… could see the glow from their

bedrooms at night were trying to watch movies in a

dark room

Imagine trying to watch a movie or go to sleep with that thing in your periphery

Page 48: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 48

Challenges: Sensor data with a “human touch”

Participants are afraid sensor data will be too impersonal How can we provide this “human touch” without adding to the

responsibilities of already overburdened network members?

Page 49: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

Nov 17, 2005 Intel Research Seattle 49

I would like to thank… Privacy & American Business Morgan Ames Anthony LaMarca Jeff Towle Lenny Lim Jimmi Montgomery Gaetano Borriello James Landay Carol Johnston Asuman Kiyak Linda Reeder Sandy Sabersky Karen Sisson Cherie Fenner Ken Smith

Jay Lundell Brad Needham Margie Morris Eric Dishman Batya Friedman Bill Schilit Sara Bly Ken Fishkin Scott Mainwaring Paul Dourish Ian Smith Nicky Kern Scott Saponas Kishore Sundara-Rajan and others…

Page 50: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

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More info at…

CASPIAN– Consumers Against Supermarket Privacy Invasion & Numbering : www.nocards.org

Eldercare project website & publications:

http://seattleweb.intel-research.net/projects/cscc/ S. Consolvo, P. Roessler, & B.E. Shelton, "The CareNet Display:

Lessons Learned from an In Home Evaluation of an Ambient Display," Proceedings of the 6th Int'l Conference on Ubiquitous Computing: UbiComp '04 (Sep 2004), pp.1-17.

S. Consolvo, P. Roessler, B.E. Shelton, A. LaMarca, B. Schilit, & S. Bly, "Technology for Care Networks of Elders," IEEE Pervasive Computing Mobile and Ubiquitous Systems: Successful Aging, Vol. 3, No. 2, (Apr-Jun 2004), pp.22-29.

Page 51: Consumers & Elders Sunny Consolvo Intel Research Seattle & UW iSchool Technology & Society November 17, 2005

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Thanks!

Contact me at: [email protected] [email protected]