CRAWDAD metadata: st_andrews/locshare (v. 2011-10-12)

This is the traceset of a privacy study, including encounters, sharing preferences, and accelerometer readings. The study was conducted in St Andrews and London.
[xml metadata]

Note: This metadata was prepared by the CRAWDAD team and verified by the data set (or tool) authors. We have made every effort to ensure its accuracy, but urge all users to consider the metadata and data carefully and be sure that their use in research is consistent with the nature and limitations of the data. We welcome any corrections. This metadata was prepared based on the following reference(s):

    CRAWDAD metadata structure[what is CRAWDAD metadata]

    [Dataset] st_andrews/locshare (v. 2011-10-12)

    top

    version v. 2011-10-12
    changes 
    the initial version
    bibtex 
    @MISC{st_andrews-locshare-2011-10-12,
  author = {Fehmi Ben Abdesslem and Tristan Henderson and Iain Parris},
  title = {{CRAWDAD} data set st_andrews/locshare (v. 2011-10-12)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/st_andrews/locshare},
  month = oct,  
  year = 2011
}
    metadata last modified2011-10-12
    summary
    This is the traceset of a privacy study, including encounters, sharing 
preferences, and accelerometer readings. The study was conducted in 
St Andrews and London.
    summary
    This is a dataset of a privacy study, including encounters, sharing 
preferences, and accelerometer readings.
    release date2011-10-12
    measurement start 2010-04-22
    measurement end 2010-11-20
    authorsFehmi Ben Abdesslem
    Tristan Henderson
    Iain Parris
    web site http://www.crawdad.org/st_andrews/locshare
    wiki go to the wiki page for this data set
    keywordGPS, location, social network
    measurement purposesLocation-aware Computing
    Social Network Analysis
    Human Behavior Modeling
    Localization
    network typeGPS (Global Positioning System)
    network typecellular network
    network typesocial network
    environment
    We recruited students to participate in an experiment and asked them to carry a
mobile phone that automatically collects their locations and uploads these to a
server. Participants could choose the information to be disclosed on Facebook, 
and to whom it could be disclosed. Participants also received ESM questions on 
the mobile phone (concerning activity, sharing choices, and privacy concerns), 
which were also answered through the same device.

We deployed 20 smartphone devices per run, and we performed four runs of the 
experiment. Two runs were performed at the University of St Andrews, another 
two runs were performed at University College London.
    network
    We chose to use the Nokia N95 8GB, a smartphone featuring GPS, Wi-Fi, 3G 
cellular network, a camera, and an accelerometer. This phone runs the Symbian 
operating system, for which we developed a location-sharing application in 
Python, LocShare. This was installed on the phones prior to distribution to 
participants and designed to automatically run on startup and then remain 
running in the background.
    collection
    Where available, GPS was used to determine a participant's location every 10 
seconds. When GPS was not available (e.g., when a device is indoors), a scan 
for Wi-Fi access points was performed every minute.

ESM Questions were sent to the phone using the Short Messaging Service (SMS) 
and displayed and answered using the phone.

Every 5 minutes, all collected data, such as locations and ESM answers, were 
uploaded to a server using the 3G network.
    sanitization
    No record was made of mappings between device IDs and participants. Locations 
are reduced to categories. Facebook List ID's names are removed.
    limitation
    To extend battery life and allow a longer use of the mobile phone, the location
was only retrieved (using GPS or WiFi) when the phone's accelerometer indicated
that the device was in motion.
    error
    Data provided by ESM are still self-reported, and a user can lie or ignore 
questions. One of the participants in the study did not carry the mobile phone 
every day, and we therefore discarded the data collected from this participant.
We therefore have only 19 participants in the 3rd run, and recruited 21
participants in the last run. Overall we have 80 participants across the four 
traces.
    tracesets included st_andrews/locshare/2010 (v. 2011-10-12)

    [Traceset] st_andrews/locshare/2010 (v. 2011-10-12)

    top

    version v. 2011-10-12
    changes 
    the initial version.
    bibtex 
    @MISC{st_andrews-locshare-2010-2011-10-12,
  author = {Fehmi Ben Abdesslem and Tristan Henderson and Iain Parris},
  title = {{CRAWDAD} trace set st_andrews/locshare/2010 (v. 2011-10-12)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/st_andrews/locshare/2010},
  month = oct,  
  year = 2011
}
    metadata last modified2011-10-12
    summary
    This is the traceset of a privacy study, including encounters, sharing 
preferences, and accelerometer readings. The study was conducted in 
St Andrews and London.
    release date2011-10-12
    measurement start 2010-04-22
    measurement end 2010-11-18
    measurement purposesLocation-aware Computing
    Social Network Analysis
    Human Behavior Modeling
    Localization
    methodology
    We recruited students to participate in an experiment and asked them to carry a
mobile phone that automatically collects their locations and uploads these to a
server. Participants could choose the information to be disclosed on Facebook, 
and to whom it could be disclosed. Participants also received ESM questions on 
the mobile phone (concerning activity, sharing choices, and privacy concerns) 
which were also answered through the same device.

We deployed 20 smartphone devices per run, and we performed four runs of the 
experiment. Two runs were performed at the University of St Andrews, another 
two runs were performed at University College London.

We chose to use the Nokia N95 8GB, a smartphone featuring GPS, Wi-Fi, 3G 
cellular network, a camera, and an accelerometer. This phone runs the Symbian 
operating system, for which we developed a location-sharing application in 
Python, LocShare. This was installed on the phones prior to distribution to 
participants, and designed to automatically run on startup and then remain 
running in the background.

Where available, GPS was used to determine a participant's location every 10 
seconds. When GPS was not available (e.g., when a device is indoors), a scan 
for Wi-Fi access points was performed every minute.

ESM Questions were sent to the phone using the Short Messaging Service (SMS) 
and displayed and answered using the phone.

Every 5 minutes, all collected data, such as locations and ESM answers, were 
uploaded to a server using the 3G network.
    sanitization
    No record was made of mappings between device IDs and participants. Locations 
are reduced to categories. Facebook List ID's names are removed.
    limitation
    The location was only retrieved (using GPS or WiFi) when the phone's 
accelerometer indicated that the device was in motion.
    error
    Data provided by ESM are still self-reported, and a user can lie or ignore 
questions.
    download urlDownload (5.0MB gz)
    (MD5 Hash: ea561da7f0e99e1eeaea9c2b914b4773) from US UK AU
    download urlDownload (5.0MB gz)
    (MD5 Hash: 4da635da2862e2195a118d75bd24d0c7) from US UK AU
    download urlDownload (5.3MB gz)
    (MD5 Hash: 9b8f9e623e2f9329f6e0b1cb43fc4e34) from US UK AU
    download urlDownload (5.7MB gz)
    (MD5 Hash: f1befa382f5760090bd59b6fa44758e4) from US UK AU
    parent datast_andrews/locshare (v. 2011-10-12)
    traces included st_andrews/locshare/2010/StA1 (v. 2011-10-12)
    st_andrews/locshare/2010/StA2 (v. 2011-10-12)
    st_andrews/locshare/2010/UCL1 (v. 2011-10-12)
    st_andrews/locshare/2010/UCL2 (v. 2011-10-12)

    [Trace] st_andrews/locshare/2010/StA1 (v. 2011-10-12)

    top

    version v. 2011-10-12
    changes 
    the initial version
    bibtex 
    @MISC{st_andrews-locshare-2010-StA1-2011-10-12,
  author = {Fehmi Ben Abdesslem and Tristan Henderson and Iain Parris},
  title = {{CRAWDAD} trace st_andrews/locshare/2010/StA1 (v. 2011-10-12)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/st_andrews/locshare/2010/StA1},
  month = oct,  
  year = 2011
}
    metadata last modified2011-10-12
    summary
    Trace files from the first run of a privacy study, including encounters, sharing
preferences, and accelerometer readings, conducted at University of St Andrews.
This is the first of the two runs conducted at University of St Andrews.
    derivedfalse
    release date2011-10-12
    measurement start 2010-04-22
    measurement end 2010-05-03
    configuration
    We recruited students to participate in an experiment and asked them to carry a
mobile phone that automatically collects their locations and uploads these to a
server. Participants could choose the information to be disclosed on Facebook, 
and to whom it could be disclosed. Participants also received ESM questions on 
the mobile phone (concerning activity, sharing choices, and privacy concerns) 
which were also answered through the same device.

We deployed 20 smartphone devices per run. This is data from the first out of 
two runs performed at University of St Andrews.

We chose to use the Nokia N95 8GB, a smartphone featuring GPS, Wi-Fi, 3G 
cellular network, a camera, and an accelerometer. This phone runs the Symbian 
operating system, for which we developed a location-sharing application in 
Python, LocShare. This was installed on the phones prior to distribution to 
participants, and designed to automatically run on startup and then remain 
running in the background.
    format
    The data from each run of the experiment are contained in five csv files, each 
marked with the prefix StA1:

    * users: the users participating in the experiment;
    * acc: the accelerometer data;
    * events: the events that took place involving the user, and responses to 
questions regarding those events;
    * encounters: the encounters between users;
    * friendslists: details regarding each participant’s friendlists.

StA1-users.csv

This file contains the information about the users. The six columns contain 
information regarding the user id and the results of the pre-briefing 
questionnaire:

59,1,1,1,0,1
60,0,1,1,1,2
61,1,1,1,1,2

In order, these columns show:

1. User ID
2. Whether the sharing onto Facebook of the user informatio was simulated. 
   If the user sharing was simulated, we did not share information on Facebook.
   We did not share what we asked them whether we could share. See Facebook or 
   fakebook for description of the sharing policies.
3. Has the user ever used their phone to share their location on an online 
   social network? 0=no 1=yes
4. Has the user ever disclosed their location or activity as their Facebook 
   status in the past? 0=no 1=yes
5. Has the user ever changed their Facebook settings to limit some of their 
   friends from accessing their data? 0=no 1=yes
6. How often does the user claim to use Facebook on their phone? 0=never 
   1=sometimes 2=everyday

This information was gathered in the pre-briefing interview and not gathered 
during the course of the experiment.

StA1-acc.csv

This file contains the accelerometer readings. There are five columns:

79,"2010-11-16 20:20:14",15,-10,-340
79,"2010-11-16 20:20:26",15,-10,-340
79,"2010-11-16 20:20:37",15,-10,-340
79,"2010-11-16 20:20:48",15,-5,-335

These columns show:

1. User ID
2. Time of reading
3. X-axis reading
4. Y-axis reading
5. Z-axis reading

StA1-events.csv

This file contains the events readings collected during the experiment. There 
are eight different columns:

77,"5",NULL,"2010-11-16 15:58:29",NULL,614,0,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,617,1,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,619,0,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,616,0,NULL

1. User ID
2. Type of event, we asked one of the following questions:
   0: "Would you disclose your current location to: friend_list?" (yes/no per
      friend_list) 
   1: "Are you around location?" If not, ask "Where are you?". Then ask
      "Would  you disclose this to: friend_list?" (yes/no per friend_list)
   2: "You are around location. Would you disclose this to: friend_list?"
      (yes/no per friend_list)
   3: "Take a picture of your current location or activity!". Then ask "Would
      you disclose this to: friend_list?" (yes/no per friend_list)
   4: Unprompted photos.
   5: Unprompted texts.
   6: "We might publish your current location to Facebook just now. How do
      you feel about this?" (Likert scale, 1=Happy, 3=Indifferent, 5=Unhappy)
   7: "You are around [location]. We might publish this to Facebook just now.
      How do you feel about this?" (Likert scale,  1=Happy, 3=Indifferent,
      5=Unhappy)
3. Time question was asked. If it is not asked but answered, this means that 
   the user volunteered the information of their own volition.
4. Time the question was answered
5. The place category. Not all locations were categorised. There are several 
   different categories:
        * 'Leisure'
        * 'Retail'
        * 'Food and Drink'
        * 'Residential'
        * 'Academic'
        * 'Library'
        * NULL - we did not try to categorise the location
6. The List ID we are asking the user if they want to share with
7. Response the user gave for this specific list ID
8. Co-presence with 0=none, 1=friends, 2=strangers during the event,
   NULL=question not asked.

StA1-encounters.csv

This file contains the details of the encounters between individuals. 
Co-location was inferred if the GPS indicated participants were within 10m of 
one another.

"2010-11-18 16:29:27","2010-11-18 16:29:37",78,59
"2010-11-18 16:31:02","2010-11-18 16:31:12",79,59
"2010-11-18 16:31:02","2010-11-18 16:31:12",79,78
"2010-11-18 16:37:24","2010-11-18 16:37:34",78,79

   1. encounter start time
   2. encounter end time
   3. user 1
   4. user 2

StA1-friendslists.csv

The friendslists of the users.

78,621,"all friends",251
78,622,NULL,26
78,623,NULL,2
78,624,NULL,22

   1. User ID
   2. List ID lists the friends.
   3. Name of the friendslist. Indicates the name of the list if it existed in 
      Facebook. We only have values for all friends or everyone to protect 
      privacy of participants.
   4. The number of people in the list on Facebook. This is NULL when list 
      consists of everyone.
    sanitization
    No record was made of mappings between device IDs and participants. Locations 
are reduced to categories. Facebook List ID’s names are removed.
    limitation
    The location was only retrieved (using GPS or WiFi) when the phone's 
accelerometer indicated that the device was in motion.
    error
    Data provided by ESM are still self-reported, and a user can lie or ignore 
questions.
    parent datast_andrews/locshare/2010 (v. 2011-10-12)

    [Trace] st_andrews/locshare/2010/StA2 (v. 2011-10-12)

    top

    version v. 2011-10-12
    changes 
    the initial version
    bibtex 
    @MISC{st_andrews-locshare-2010-StA2-2011-10-12,
  author = {Fehmi Ben Abdesslem and Tristan Henderson and Iain Parris},
  title = {{CRAWDAD} trace st_andrews/locshare/2010/StA2 (v. 2011-10-12)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/st_andrews/locshare/2010/StA2},
  month = oct,  
  year = 2011
}
    metadata last modified2011-10-12
    summary
    Trace files from the second run of a privacy study, including encounters, 
sharing preferences, and accelerometer readings, conducted at University of St 
Andrews. This is the second of the two runs conducted at University of St 
Andrews.
    derivedfalse
    release date2011-10-12
    measurement start 2010-05-06
    measurement end 2010-05-14
    configuration
    We recruited students to participate in an experiment and asked them to carry a
mobile phone that automatically collects their locations and uploads these to a
server. Participants could choose the information to be disclosed on Facebook, 
and to whom it could be disclosed. Participants also received ESM questions on 
the mobile phone (concerning activity, sharing choices, and privacy concerns) 
which were also answered through the same device.

We deployed 20 smartphone devices per run. This is data from the second out of 
two runs performed at University of St Andrews.

We chose to use the Nokia N95 8GB, a smartphone featuring GPS, Wi-Fi, 3G 
cellular network, a camera, and an accelerometer. This phone runs the Symbian 
operating system, for which we developed a location-sharing application in 
Python, LocShare. This was installed on the phones prior to distribution to 
participants, and designed to automatically run on startup and then remain 
running in the background.
    format
    The data from each run of the experiment are contained in five csv files, each 
marked with the prefix StA2:

    * users: the users participating in the experiment;
    * acc: the accelerometer data;
    * events: the events that took place involving the user, and responses to 
questions regarding those events;
    * encounters: the encounters between users;
    * friendslists: details regarding each participant’s friendlists.

StA2-users.csv

This file contains the information about the users. The six columns contain 
information regarding the user id and the results of the pre-briefing 
questionnaire:

59,1,1,1,0,1
60,0,1,1,1,2
61,1,1,1,1,2

In order, these columns show:

1. User ID
2. Whether the sharing onto Facebook of the user informatio was simulated. 
   If the user sharing was simulated, we did not share information on Facebook.
   We did not share what we asked them whether we could share. See Facebook or 
   fakebook for description of the sharing policies.
3. Has the user ever used their phone to share their location on an online 
   social network? 0=no 1=yes
4. Has the user ever disclosed their location or activity as their Facebook 
   status in the past? 0=no 1=yes
5. Has the user ever changed their Facebook settings to limit some of their 
   friends from accessing their data? 0=no 1=yes
6. How often does the user claim to use Facebook on their phone? 0=never 
   1=sometimes 2=everyday

This information was gathered in the pre-briefing interview and not gathered 
during the course of the experiment.

StA2-acc.csv

This file contains the accelerometer readings. There are five columns:

79,"2010-11-16 20:20:14",15,-10,-340
79,"2010-11-16 20:20:26",15,-10,-340
79,"2010-11-16 20:20:37",15,-10,-340
79,"2010-11-16 20:20:48",15,-5,-335

These columns show:

1. User ID
2. Time of reading
3. X-axis reading
4. Y-axis reading
5. Z-axis reading

StA2-events.csv

This file contains the events readings collected during the experiment. There 
are eight different columns:

77,"5",NULL,"2010-11-16 15:58:29",NULL,614,0,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,617,1,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,619,0,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,616,0,NULL

1. User ID
2. Type of event, we asked one of the following questions:
   0: "Would you disclose your current location to: friend_list?" (yes/no per
      friend_list) 
   1: "Are you around location?" If not, ask "Where are you?". Then ask
      "Would  you disclose this to: friend_list?" (yes/no per friend_list)
   2: "You are around location. Would you disclose this to: friend_list?"
      (yes/no per friend_list)
   3: "Take a picture of your current location or activity!". Then ask "Would
      you disclose this to: friend_list?" (yes/no per friend_list)
   4: Unprompted photos.
   5: Unprompted texts.
   6: "We might publish your current location to Facebook just now. How do
      you feel about this?" (Likert scale, 1=Happy, 3=Indifferent, 5=Unhappy)
   7: "You are around [location]. We might publish this to Facebook just now.
      How do you feel about this?" (Likert scale,  1=Happy, 3=Indifferent,
      5=Unhappy)
3. Time question was asked. If it is not asked but answered, this means that 
   the user volunteered the information of their own volition.
4. Time the question was answered
5. The place category. Not all locations were categorised. There are several 
   different categories:
        * 'Leisure'
        * 'Retail'
        * 'Food and Drink'
        * 'Residential'
        * 'Academic'
        * 'Library'
        * NULL - we did not try to categorise the location
6. The List ID we are asking the user if they want to share with
7. Response the user gave for this specific list ID
8. Co-presence with 0=none, 1=friends, 2=strangers during the event,
   NULL=question not asked.

StA2-encounters.csv

This file contains the details of the encounters between individuals. 
Co-location was inferred if the GPS indicated participants were within 10m of 
one another.

"2010-11-18 16:29:27","2010-11-18 16:29:37",78,59
"2010-11-18 16:31:02","2010-11-18 16:31:12",79,59
"2010-11-18 16:31:02","2010-11-18 16:31:12",79,78
"2010-11-18 16:37:24","2010-11-18 16:37:34",78,79

   1. encounter start time
   2. encounter end time
   3. user 1
   4. user 2

StA2-friendslists.csv

The friendslists of the users.

78,621,"all friends",251
78,622,NULL,26
78,623,NULL,2
78,624,NULL,22

   1. User ID
   2. List ID lists the friends.
   3. Name of the friendslist. Indicates the name of the list if it existed in 
      Facebook. We only have values for all friends or everyone to protect 
      privacy of participants.
   4. The number of people in the list on Facebook. This is NULL when list 
      consists of everyone.
    sanitization
    No record was made of mappings between device IDs and participants. Locations 
are reduced to categories. Facebook List ID’s names are removed.
    limitation
    The location was only retrieved (using GPS or WiFi) when the phone's 
accelerometer indicated that the device was in motion.
    error
    Data provided by ESM are still self-reported, and a user can lie or ignore 
questions.
    parent datast_andrews/locshare/2010 (v. 2011-10-12)

    [Trace] st_andrews/locshare/2010/UCL1 (v. 2011-10-12)

    top

    version v. 2011-10-12
    changes 
    the initial version
    bibtex 
    @MISC{st_andrews-locshare-2010-UCL1-2011-10-12,
  author = {Fehmi Ben Abdesslem and Tristan Henderson and Iain Parris},
  title = {{CRAWDAD} trace st_andrews/locshare/2010/UCL1 (v. 2011-10-12)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/st_andrews/locshare/2010/UCL1},
  month = oct,  
  year = 2011
}
    metadata last modified2011-10-12
    summary
    Trace files from the third run of a privacy study, including encounters, sharing
preferences, and accelerometer readings, conducted at University of St Andrews.
This is the first of the two runs conducted at University College London.
    derivedfalse
    release date2011-10-12
    measurement start 2010-11-01
    measurement end 2010-11-08
    configuration
    We recruited students to participate in an experiment and asked them to carry a
mobile phone that automatically collects their locations and uploads these to a
server. Participants could choose the information to be disclosed on Facebook, 
and to whom it could be disclosed. Participants also received ESM questions on 
the mobile phone (concerning activity, sharing choices, and privacy concerns) 
which were also answered through the same device.

We deployed 20 smartphone devices per run. This is data from the first out of 
two runs performed at University College London.

We chose to use the Nokia N95 8GB, a smartphone featuring GPS, Wi-Fi, 3G 
cellular network, a camera, and an accelerometer. This phone runs the Symbian 
operating system, for which we developed a location-sharing application in 
Python, LocShare. This was installed on the phones prior to distribution to 
participants, and designed to automatically run on startup and then remain 
running in the background.
    format
    The data from each run of the experiment are contained in five csv files, each 
marked with the prefix UCL1:

    * users: the users participating in the experiment;
    * acc: the accelerometer data;
    * events: the events that took place involving the user, and responses to 
questions regarding those events;
    * encounters: the encounters between users;
    * friendslists: details regarding each participant’s friendlists.

UCL1-users.csv

This file contains the information about the users. The six columns contain 
information regarding the user id and the results of the pre-briefing 
questionnaire:

59,1,1,1,0,1
60,0,1,1,1,2
61,1,1,1,1,2

In order, these columns show:

1. User ID
2. Whether the sharing onto Facebook of the user informatio was simulated. 
   If the user sharing was simulated, we did not share information on Facebook.
   We did not share what we asked them whether we could share. See Facebook or 
   fakebook for description of the sharing policies.
3. Has the user ever used their phone to share their location on an online 
   social network? 0=no 1=yes
4. Has the user ever disclosed their location or activity as their Facebook 
   status in the past? 0=no 1=yes
5. Has the user ever changed their Facebook settings to limit some of their 
   friends from accessing their data? 0=no 1=yes
6. How often does the user claim to use Facebook on their phone? 0=never 
   1=sometimes 2=everyday

This information was gathered in the pre-briefing interview and not gathered 
during the course of the experiment.

UCL1-acc.csv

This file contains the accelerometer readings. There are five columns:

79,"2010-11-16 20:20:14",15,-10,-340
79,"2010-11-16 20:20:26",15,-10,-340
79,"2010-11-16 20:20:37",15,-10,-340
79,"2010-11-16 20:20:48",15,-5,-335

These columns show:

1. User ID
2. Time of reading
3. X-axis reading
4. Y-axis reading
5. Z-axis reading

UCL1-events.csv

This file contains the events readings collected during the experiment. There 
are eight different columns:

77,"5",NULL,"2010-11-16 15:58:29",NULL,614,0,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,617,1,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,619,0,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,616,0,NULL

1. User ID
2. Type of event, we asked one of the following questions:
   0: "Would you disclose your current location to: friend_list?" (yes/no per
      friend_list) 
   1: "Are you around location?" If not, ask "Where are you?". Then ask
      "Would  you disclose this to: friend_list?" (yes/no per friend_list)
   2: "You are around location. Would you disclose this to: friend_list?"
      (yes/no per friend_list)
   3: "Take a picture of your current location or activity!". Then ask "Would
      you disclose this to: friend_list?" (yes/no per friend_list)
   4: Unprompted photos.
   5: Unprompted texts.
   6: "We might publish your current location to Facebook just now. How do
      you feel about this?" (Likert scale, 1=Happy, 3=Indifferent, 5=Unhappy)
   7: "You are around [location]. We might publish this to Facebook just now.
      How do you feel about this?" (Likert scale,  1=Happy, 3=Indifferent,
      5=Unhappy)
3. Time question was asked. If it is not asked but answered, this means that 
   the user volunteered the information of their own volition.
4. Time the question was answered
5. The place category. Not all locations were categorised. There are several 
   different categories:
        * 'Leisure'
        * 'Retail'
        * 'Food and Drink'
        * 'Residential'
        * 'Academic'
        * 'Library'
        * NULL - we did not try to categorise the location
6. The List ID we are asking the user if they want to share with
7. Response the user gave for this specific list ID
8. Co-presence with 0=none, 1=friends, 2=strangers during the event

UCL1-encounters.csv

This file contains the details of the encounters between individuals. 
Co-location was inferred if the GPS indicated participants were within 10m of 
one another.

"2010-11-18 16:29:27","2010-11-18 16:29:37",78,59
"2010-11-18 16:31:02","2010-11-18 16:31:12",79,59
"2010-11-18 16:31:02","2010-11-18 16:31:12",79,78
"2010-11-18 16:37:24","2010-11-18 16:37:34",78,79

   1. encounter start time
   2. encounter end time
   3. user 1
   4. user 2

UCL1-friendslists.csv

The friendslists of the users.

78,621,"all friends",251
78,622,NULL,26
78,623,NULL,2
78,624,NULL,22

   1. User ID
   2. List ID lists the friends.
   3. Name of the friendslist. Indicates the name of the list if it existed in 
      Facebook. We only have values for all friends or everyone to protect 
      privacy of participants.
   4. The number of people in the list on Facebook. This is NULL when list 
      consists of everyone.
    sanitization
    No record was made of mappings between device IDs and participants. Locations 
are reduced to categories. Facebook List ID’s names are removed.
    limitation
    The location was only retrieved (using GPS or WiFi) when the phone's 
accelerometer indicated that the device was in motion.
    error
    Data provided by ESM are still self-reported, and a user can lie or ignore 
questions. One of the participants in the study did not carry the mobile phone 
every day, and we therefore discarded the data collected from this participant.
We thus have only 19 participants in this run.
    parent datast_andrews/locshare/2010 (v. 2011-10-12)

    [Trace] st_andrews/locshare/2010/UCL2 (v. 2011-10-12)

    top

    version v. 2011-10-12
    changes 
    the initial version
    bibtex 
    @MISC{st_andrews-locshare-2010-UCL2-2011-10-12,
  author = {Fehmi Ben Abdesslem and Tristan Henderson and Iain Parris},
  title = {{CRAWDAD} trace st_andrews/locshare/2010/UCL2 (v. 2011-10-12)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/st_andrews/locshare/2010/UCL2},
  month = oct,  
  year = 2011
}
    metadata last modified2011-10-12
    summary
    Trace files from the fourth run of a privacy study, including encounters, 
sharing preferences, and accelerometer readings, conducted at University of St 
Andrews. This is the second of the two runs conducted at University College
London.
    derivedfalse
    release date2011-10-12
    measurement start 2010-11-11
    measurement end 2010-11-18
    configuration
    We recruited students to participate in an experiment and asked them to carry a
mobile phone that automatically collects their locations and uploads these to a
server. Participants could choose the information to be disclosed on Facebook, 
and to whom it could be disclosed. Participants also received ESM questions on 
the mobile phone (concerning activity, sharing choices, and privacy concerns) 
which were also answered through the same device.

We deployed 21 smartphone devices in this run. This is data from the second out
of two runs performed at University College London.

We chose to use the Nokia N95 8GB, a smartphone featuring GPS, Wi-Fi, 3G 
cellular network, a camera, and an accelerometer. This phone runs the Symbian 
operating system, for which we developed a location-sharing application in 
Python, LocShare. This was installed on the phones prior to distribution to 
participants, and designed to automatically run on startup and then remain 
running in the background.
    format
    The data from each run of the experiment are contained in five csv files, each 
marked with the prefix UCL2:

    * users: the users participating in the experiment;
    * acc: the accelerometer data;
    * events: the events that took place involving the user, and responses to 
questions regarding those events;
    * encounters: the encounters between users;
    * friendslists: details regarding each participant’s friendlists.

UCL2-users.csv

This file contains the information about the users. The six columns contain 
information regarding the user id and the results of the pre-briefing 
questionnaire:

59,1,1,1,0,1
60,0,1,1,1,2
61,1,1,1,1,2

In order, these columns show:

1. User ID
2. Whether the sharing onto Facebook of the user informatio was simulated. 
   If the user sharing was simulated, we did not share information on Facebook.
   We did not share what we asked them whether we could share. See Facebook or 
   fakebook for description of the sharing policies.
3. Has the user ever used their phone to share their location on an online 
   social network? 0=no 1=yes
4. Has the user ever disclosed their location or activity as their Facebook 
   status in the past? 0=no 1=yes
5. Has the user ever changed their Facebook settings to limit some of their 
   friends from accessing their data? 0=no 1=yes
6. How often does the user claim to use Facebook on their phone? 0=never 
   1=sometimes 2=everyday

This information was gathered in the pre-briefing interview and not gathered 
during the course of the experiment.

UCL2-acc.csv

This file contains the accelerometer readings. There are five columns:

79,"2010-11-16 20:20:14",15,-10,-340
79,"2010-11-16 20:20:26",15,-10,-340
79,"2010-11-16 20:20:37",15,-10,-340
79,"2010-11-16 20:20:48",15,-5,-335

These columns show:

1. User ID
2. Time of reading
3. X-axis reading
4. Y-axis reading
5. Z-axis reading

UCL2-events.csv

This file contains the events readings collected during the experiment. There 
are eight different columns:

77,"5",NULL,"2010-11-16 15:58:29",NULL,614,0,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,617,1,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,619,0,NULL
77,"5",NULL,"2010-11-16 15:58:29",NULL,616,0,NULL

1. User ID
2. Type of event, we asked one of the following questions:
   0: "Would you disclose your current location to: friend_list?" (yes/no per
      friend_list) 
   1: "Are you around location?" If not, ask "Where are you?". Then ask
      "Would  you disclose this to: friend_list?" (yes/no per friend_list)
   2: "You are around location. Would you disclose this to: friend_list?"
      (yes/no per friend_list)
   3: "Take a picture of your current location or activity!". Then ask "Would
      you disclose this to: friend_list?" (yes/no per friend_list)
   4: Unprompted photos.
   5: Unprompted texts.
   6: "We might publish your current location to Facebook just now. How do
      you feel about this?" (Likert scale, 1=Happy, 3=Indifferent, 5=Unhappy)
   7: "You are around [location]. We might publish this to Facebook just now.
      How do you feel about this?" (Likert scale,  1=Happy, 3=Indifferent,
      5=Unhappy)
3. Time question was asked. If it is not asked but answered, this means that 
   the user volunteered the information of their own volition.
4. Time the question was answered
5. The place category. Not all locations were categorised. There are several 
   different categories:
        * 'Leisure'
        * 'Retail'
        * 'Food and Drink'
        * 'Residential'
        * 'Academic'
        * 'Library'
        * NULL - we did not try to categorise the location
6. The List ID we are asking the user if they want to share with
7. Response the user gave for this specific list ID
8. Co-presence with 0=none, 1=friends, 2=strangers during the event

UCL2-encounters.csv

This file contains the details of the encounters between individuals. 
Co-location was inferred if the GPS indicated participants were within 10m of 
one another.

"2010-11-18 16:29:27","2010-11-18 16:29:37",78,59
"2010-11-18 16:31:02","2010-11-18 16:31:12",79,59
"2010-11-18 16:31:02","2010-11-18 16:31:12",79,78
"2010-11-18 16:37:24","2010-11-18 16:37:34",78,79

   1. encounter start time
   2. encounter end time
   3. user 1
   4. user 2

UCL2-friendslists.csv

The friendslists of the users.

78,621,"all friends",251
78,622,NULL,26
78,623,NULL,2
78,624,NULL,22

   1. User ID
   2. List ID lists the friends.
   3. Name of the friendslist. Indicates the name of the list if it existed in 
      Facebook. We only have values for all friends or everyone to protect 
      privacy of participants.
   4. The number of people in the list on Facebook. This is NULL when list 
      consists of everyone.
    sanitization
    No record was made of mappings between device IDs and participants. Locations 
are reduced to categories. Facebook List ID’s names are removed.
    limitation
    The location was only retrieved (using GPS or WiFi) when the phone's 
accelerometer indicated that the device was in motion.
    error
    Data provided by ESM are still self-reported, and a user can lie or ignore 
questions.
    parent datast_andrews/locshare/2010 (v. 2011-10-12)

    [Author] Fehmi Ben Abdesslem

    top

    emailfb375@cam.ac.uk
    institutionUniversity of Cambridge
    departmentComputer Science
    positionResearch Associate
    addressOffice FE08, Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, Cambridge CB3 0FD
    phone+44 (0)1223 763 680
    web site http://www.cl.cam.ac.uk/~fb375/
    related data/toolsst_andrews/locshare (v. 2011-10-12)

    [Author] Tristan Henderson

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    emailtristan@cs.st-andrews.ac.uk
    institutionUniversity of St Andrews
    departmentComputer Science
    positionLecturer
    addressSchool of Computer Science, University of St Andrews, Fife KY16 9SX, UK
    phone+44 (0)1334 461 637
    fax+44 (0)1334 463 278
    web site http://www.cs.st-andrews.ac.uk/~tristan/
    related data/toolsdartmouth/campus (v. 2009-09-09)
    st_andrews/sassy (v. 2011-06-03)
    st_andrews/locshare (v. 2011-10-12)
    tools/process/syslog/syslog_parser (v. 2006-11-01)

    [Author] Iain Parris

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    emailisp3@st-andrews.ac.uk
    institutionUniversity of St Andrews
    departmentComputer Science
    positionPh.D. student
    addressSchool of Computer Science, University of St Andrews, Fife KY16 9SX, UK
    phone+44 (0)1334 461 637
    fax+44 (0)1334 463 278
    web site http://www.cs.st-andrews.ac.uk/~ip/
    related data/toolsst_andrews/locshare (v. 2011-10-12)

    [Paper] benabdesslem-mobile

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    category inproceedings
    authorsBen Abdesslem, Fehmi
    Parris, Iain
    Henderson, Tristan
    titleMobile Experience Sampling: Reaching the Parts of Facebook Other Methods Cannot Reach
    booktitleProceedings of the Privacy and Usability Methods Pow-Wow (PUMP)
    addressDundee, UK
    year2010
    month--09--
    publisherBritish Computer Society
    download urlhttp://scone.cs.st-andrews.ac.uk/pump2010/papers/benabdesslem.pdf
    keywordswireless
    keywordsmeasurement
    keywordsst_andrews_locshare
    related data/toolsst_andrews/locshare

    [Paper] parris-facebook

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    0
    category inproceedings
    authorsParris, Iain
    Ben Abdesslem, Fehmi
    Henderson, Tristan
    titleFacebook or Fakebook?: The effect of simulation on location privacy user studies
    booktitleProceedings of the Privacy and Usability Methods Pow-Wow (PUMP)
    locationDundee, UK
    month--09--
    publisherBritish Computer Society
    download urlhttp://scone.cs.st-andrews.ac.uk/pump2010/papers/parris.pdf
    year2010
    keywordswireless
    keywordsmeasurement
    keywordsst_andrews_locshare
    related data/toolsst_andrews/locshare