Estimating People Perception of Intimacy in Daily Life from Context - - PowerPoint PPT Presentation

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Estimating People Perception of Intimacy in Daily Life from Context - - PowerPoint PPT Presentation

Nov 01, 2023 318 likes •885 views

Estimating People Perception of Intimacy in Daily Life from Context Data Collected with Their Mobile Phone Mattia Gustarini, Katarzyna Wac Institute of Services Science Quality of Life Group FACULTY OF ECONOMIC AND SOCIAL SCIENCES Department

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Estimating People Perception of Intimacy in Daily Life from Context Data Collected with Their Mobile Phone

Mattia Gustarini, Katarzyna Wac Institute of Services Science Quality of Life Group

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Introduction

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Introduction

Personal Context

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Introduction

Personal Context Collected and Shared

Services and

  • ther data collectors
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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Introduction

Personal Context Other People Collected and Shared

Services and

  • ther data collectors
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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Introduction

  • Privacy control
  • what information is shared
  • with whom
  • Done by “hand”
  • static preference settings
  • keep them updated
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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Goal

privacy sharing

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Goal

privacy sharing intimacy

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Goal

privacy sharing intimacy Help the automation of privacy settings to improve sharing control

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Goal

1.

  • R. S. Gerstein, “Intimacy and privacy,” Ethics, vol. 89, no. 1, pp. 76–81, 1978.

2.

  • J. H. Reiman, “Privacy, intimacy, and personhood,” Philosophy & Public Affairs, vol. 6, no. 1, pp. 26–44, 1976

3.

  • H. T. Reis et al., “Intimacy as an interpersonal process,” in Handbook of personal relationships, vol. 24, no. 3, S. Duck, Ed. Wiley, 1988, pp. 367-389.

privacy sharing intimacy Help the automation of privacy settings to improve sharing control

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Goal

1.

  • R. S. Gerstein, “Intimacy and privacy,” Ethics, vol. 89, no. 1, pp. 76–81, 1978.

2.

  • J. H. Reiman, “Privacy, intimacy, and personhood,” Philosophy & Public Affairs, vol. 6, no. 1, pp. 26–44, 1976

3.

  • H. T. Reis et al., “Intimacy as an interpersonal process,” in Handbook of personal relationships, vol. 24, no. 3, S. Duck, Ed. Wiley, 1988, pp. 367-389.

privacy sharing intimacy

  • bservers

unwanted degrade intimacy

Help the automation of privacy settings to improve sharing control

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SLIDE 12

FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Goal

1.

  • R. S. Gerstein, “Intimacy and privacy,” Ethics, vol. 89, no. 1, pp. 76–81, 1978.

2.

  • J. H. Reiman, “Privacy, intimacy, and personhood,” Philosophy & Public Affairs, vol. 6, no. 1, pp. 26–44, 1976

3.

  • H. T. Reis et al., “Intimacy as an interpersonal process,” in Handbook of personal relationships, vol. 24, no. 3, S. Duck, Ed. Wiley, 1988, pp. 367-389.

privacy sharing intimacy

  • bservers

unwanted degrade intimacy

safe places

influence intimacy perception

Help the automation of privacy settings to improve sharing control

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Goal

  • Use Mobile Data Challenge data to

estimate participants intimacy level

  • In future it may be possible to use

intimacy to help automate privacy management

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

MDC Data Analysis

Observers Safe Places

Bluetooth Charging status Ring status Ring status Outgoing call/SMS Indoor/Outdoor

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Observers

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Bluetooth

Observers

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Bluetooth

Observers

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

stranger co-worker friend

Bluetooth

Observers

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Ring status

Observers

stranger co-worker friend

Normal Silent

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Ring status

Observers

stranger co-worker friend

Normal Silent

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Ring status

Observers

stranger co-worker friend

Normal Silent

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Ring status

Observers

stranger co-worker friend

Normal Silent

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Ring status

Observers

stranger co-worker friend

Normal Silent

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Outgoing Call/SMS

Observers

stranger co-worker friend

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Outgoing Call/SMS

Observers

stranger co-worker friend

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Outgoing Call/SMS

Observers call

stranger co-worker friend

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Outgoing Call/SMS

Observers call

stranger co-worker friend

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Outgoing Call/SMS

Observers

stranger co-worker friend

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Outgoing Call/SMS

Observers

stranger co-worker friend

sms

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Safe Places

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Charging status

Safe Places

No charging Charging

Park Office Shop Home Bus Car ... ... not safe safe very safe (phone left when full)

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Ring status

Safe Places

Normal Silent

Park Office Shop Home ... ... not safe safe

external perturbations call sms ...

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Indoor / Outdoor

  • Greedy assessment using GPS and WIFI data
  • Outdoor is assumed unsafe
  • Indoor is assumed safe

Safe Places

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Intimacy Estimation algorithm

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Intimacy Estimation algorithm

study participation time

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Intimacy Estimation algorithm

study participation time 10 minutes intervals

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Intimacy Estimation algorithm

study participation time 10 minutes intervals

1 2 3 4 5 6

1 2 3 4 5 6 no intimacy fully intimate intimacy scale

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Intimacy Estimation algorithm

Observers

bluetooth ring status

  • utgoing call/sms

each scores from 1 to 6 average

Safe places

charging status ring status indoor/outdoor each scores from 1 to 6 average

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

  • Intermediate

results are available for further analysis

  • observers vs

safe places

  • single features

Intimacy Estimation algorithm

Observers Safe places Intimacy level

average

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Results

Probability Participants

186 185 179 172 169 165 160 141 139 127 126 123 120 117 111 109 094 089 083 082 077 075 068 063 060 056 051 050 042 034 026 023 017 010 009 007 005 002 0.0 0.2 0.4 0.6 0.8 1.0 1 2 3 4 5 6

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Results

Probability Participants

186 185 179 172 169 165 160 141 139 127 126 123 120 117 111 109 094 089 083 082 077 075 068 063 060 056 051 050 042 034 026 023 017 010 009 007 005 002 0.0 0.2 0.4 0.6 0.8 1.0 1 2 3 4 5 6 NA

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Results

Probability Participants

186 185 179 172 169 165 160 141 139 127 126 123 120 117 111 109 094 089 083 082 077 075 068 063 060 056 051 050 042 034 026 023 017 010 009 007 005 002 0.0 0.2 0.4 0.6 0.8 1.0 1 2 3 4 5 6 NA

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Results - P026

Probability

Sun Sat Fri Thu Wed Tue Mon 0.0 0.2 0.4 0.6 0.8 1.0 1 2 3 4 5 6 NA

Female, 22-27, Student, 21 Weeks (147 days)

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Results - P026

Observers

Sun Sat Fri Thu Wed Tue Mon 01h 03h 05h 07h 09h 11h 13h 15h 17h 19h 21h 23h 1 2 3 4 5 6

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Results - P026

Observers

Sun Sat Fri Thu Wed Tue Mon 01h 03h 05h 07h 09h 11h 13h 15h 17h 19h 21h 23h 1 2 3 4 5 6

Safe Places

Sun Sat Fri Thu Wed Tue Mon 01h 03h 05h 07h 09h 11h 13h 15h 17h 19h 21h 23h 1 2 3 4 5 6

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Results - P026

Intimacy levels

Observers Safe Places

Sun Sat Fri Thu Wed Tue Mon 01h 03h 05h 07h 09h 11h 13h 15h 17h 19h 21h 23h 1 2 3 4 5 6 Sun Sat Fri Thu Wed Tue Mon 01h 03h 05h 07h 09h 11h 13h 15h 17h 19h 21h 23h 1 2 3 4 5 6

Sun Sat Fri Thu Wed Tue Mon 01h 03h 05h 07h 09h 11h 13h 15h 17h 19h 21h 23h 1 2 3 4 5 6

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

  • Several limitations on assumptions made

for data analysis and intimacy levels estimation

Limitations

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

  • Several limitations on assumptions made

for data analysis and intimacy levels estimation

  • No ground truth available
  • to check the correctness of the approach
  • to verify assumptions
  • to explore more the data

Limitations

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Future work

  • Collect ground truth
  • using Experience Sampling Method
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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Future work

  • Collect ground truth
  • using Experience Sampling Method
  • Verify current assumptions and results
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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Future work

  • Collect ground truth
  • using Experience Sampling Method
  • Verify current assumptions and results
  • Explore new data to refine intimacy level

estimation

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Future work

  • Collect ground truth
  • using Experience Sampling Method
  • Verify current assumptions and results
  • Explore new data to refine intimacy level

estimation

  • Apply automated sharing policies based on

intimacy (verify that privacy is respected)

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Conclusions

  • Introduction of the concept of intimacy in

privacy management for context sharing

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Conclusions

  • Introduction of the concept of intimacy in

privacy management for context sharing

  • Greedy algorithm to estimate intimacy

levels

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Conclusions

  • Introduction of the concept of intimacy in

privacy management for context sharing

  • Greedy algorithm to estimate intimacy

levels

  • First results showing that intimacy levels

may follow precise patterns

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FACULTY OF ECONOMIC AND SOCIAL SCIENCES

Department of Management Studies

Thank you!

Mattia Gustarini mattia.gustarini@unige.ch Katarzyna Wac katarzyna.wac@unige.ch http://www.qol.unige.ch