Moodscope, subjective ratings and body blogging - Ute Kreplin

672 views

Published on

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
672
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • Hi, My name is Ute My project is about combining moodscope and the body blogger
  • Moodscope is an online mood tracking tool based on the Positive And Negative Affective Scale PANAS psychological scale tracking subjectively experienced mood
  • Body Blogging is the act of logging how your body changes over time using web technologyIntroduced by Kiel8 hour recordingsLive stream to twitter – update every 30 minPhysiological computing.net
  • Some interesting things came out of thisUsing Kiel’s twitter accountMy HR 20bpm lower than Kiels2 implicationsSudden drop on twitterKiel asleep on the physiological computing site before adjusting the systemBut no one asked Kiel about itInviting my mum to follow my HR tweetsHow can we make the sharing of this data more meaningful?
  • Daily mean and moodscope score2 neg and 1 pos spike but changes aren’t reflected in HRSo why is this the case?Incompatible modes of recordingContinuous recording of HR vs one moodscope scoreloss of variability in HR by reducing it to one score
  • Looked at the hour the moodscope was recordedA better match for average days, but ups and downs of the moodscope still not reflected to the same extend in HRApart from the first spike, the 4th where there is definitely smth going on but to what we need to add more context to the data
  • The question of context & the different ways of doing thisI was using a top-down approach by predisposing a context of this, which is my mood or moodscopeTrying to match this to the BBBottom-up approach, such as Kiel’s longitudinal recordings allows to add context to the heart rate after the recording Heat maps – a HR skeleton to add meaning to
  • Representation of my data for Aug as a heat mapColours reflect levels of activity, green normal yellow active, red very activeGreat deal of variation throughout each dayIf we now look at the 4th we see that my HR was very highWhat’s interesting is that I was asleep at the point of recordingWhat you see here is my body fighting with the common coldIn this way the data becomes more meaning, as I look at unusual eventsWith time I would be able to read this patterns better giving me more instant access
  • Incompatible modes of recordingBuilding context around HR not HR around contextNot sharing everyday events but special occasions, e.g. job interviewButterflies on your wedding day captured in BPM
  • Moodscope, subjective ratings and body blogging - Ute Kreplin

    1. 1. Moodscope, Subjective Ratings and Body Blogging Ute Kreplin PhD Student at Liverpool John Moores University Presented at Quantified Self Europe 2011
    2. 2. What I did +Moodscope Body BloggingSubjective tracking of mood Continuous recording and live streaming of my Heart Rate (HR)
    3. 3. Moodscope GraphUses a slightly altered versionof the Positive & NegativeAffective Scales (PANAS) Visual tracking of changes in mood
    4. 4. Body Blogging• Body Blogging is the act of logging how your body changes over time using web technology• 8 hour recordings (9am-5pm) with a wearable sensor• Sharing through Twitter & physiologicalcomputing.net
    5. 5. Body Blogging• The implication of a 20 BPM drop in HR• A mother’s reaction• How do we make this data meaningful to a wider audience? Heat Map• What can I learn about my mood?
    6. 6. BPM 20 30 40 50 60 70 80 1-Aug 2-Aug 3-Aug 4-Aug 5-Aug 6-Aug 7-Aug 8-Aug 9-Aug 10-Aug 11-Aug 12-Aug 13-Aug 14-Aug 15-AugHeart Rate (BPM) 16-Aug Date 17-Aug 18-Aug 19-Aug 20-Aug 21-AugMoodscope (%) 22-Aug 23-Aug 24-Aug 25-Aug 26-Aug 27-Aug Moodscope Score & Heart Rate Daily Average 28-Aug 29-Aug 30-Aug 31-Aug 0 10 30 40 50 60 70 80 20 Moodscope %
    7. 7. Moodscope Score & Heart Moodscope Score & Heart Rate Daily Average Rate in the Last Hour 80 80 90 80 70 80 70 70 Moodscope % Moodscope % 70 60 60 60 60 50 50 BPMBPM 50 50 40 40 40 30 30 40 30 20 20 20 30 10 10 10 0 0 20 0 1-Aug 3-Aug 5-Aug 7-Aug 9-Aug 11-Aug 13-Aug 15-Aug 17-Aug 19-Aug 21-Aug 23-Aug 25-Aug 27-Aug 29-Aug 31-Aug 1-Aug 3-Aug 5-Aug 7-Aug 9-Aug 11-Aug 13-Aug 15-Aug 17-Aug 19-Aug 21-Aug 23-Aug 25-Aug 27-Aug 29-Aug 31-Aug Date Date Heart Rate (BPM) Moodscope Heart Rate (BPM) Moodscope (%)
    8. 8. • Bottom-up vs. top-down interpretation – Top-down: Predisposing the outcome of HR, i.e. compatibility with moodscope – Bottom-up: Longitudinal recording allows context to build up around the data• The use of heat-maps and how we can add meaning to the data
    9. 9. Heat Map Representation of the Body Blogging Data 5pm 3pmTime 12pm 9am 15-Aug 01-Aug 05-Aug 08-Aug 23-Aug 11-Aug 18-Aug 26-Aug 30-Aug Date
    10. 10. In conclusion• Incompatible modes of recording – Loss of variation within HR recordings• Building context around the data• Heat maps for easier understanding• The sharing of meaningful events• BPM a new way of sharing and recording extraordinary events – BPM as personalised photograph
    11. 11. Questions?

    ×