Date post: | 23-Jan-2018 |
Category: |
Data & Analytics |
Upload: | krista-lagus |
View: | 207 times |
Download: | 1 times |
Approaches to Promote Individual and Societal
Wellbeing Krista Lagus
Artificial Intelligence and Machine Learning for People 2.11.2015
Contents
� Paths of physical and mental wellbeing: from health to wellbeing & wellness interventions
� Exploring Social isolation and loneliness: Are there loneliness types, how do people recover?
� Citizen’s Mindscapes: Dynamics of emotions in social big data
Sports Institute of Finland (Vierumäki) fitness data
>100,000 measurements in 20+ years small subset with also mental workload & stress evaluation
(Vatanen, Heikkilä Honkela, Kettunen, Lagus &Pantzar, 2012)
males females
example: abdominals
all
40-50 years old
What kind of different ”fitness groups” can be found?
Relationship between physical & mental
wellbeing (stress)?
Do interventions help?
Social isolation & loneliness � Social isolation is a severe health risk both
physically and mentally � Even brief ostracism appears to be experienced in the brain
as intense physical pain (Williams, 2011)
� Continuous experience of pain is a continuous stress, leading to stress-related diseases
� What different types of loneliness is there?
� How do people recover from loneliness?
?
Text questions (in Yksinäisyyskysely 2011, 500 responses)
1. Miten sinusta tuli yksinäinen? How did you become lonely?
2. Miltä yksinäisyys tuntui? Miten se vaikutti mieleesi ja käyttäytymiseesi? How did it feel? How did it affect your mind and behaviour?
3. Miten selvisit yksinäisyydestä (tai siitä huolimatta)? How did you survive loneliness (or despite it)?
4. Tiesivätkö lähipiirisi ihmiset yksinäisyydestäsi? Miten he suhtautuivat siihen? Did people close to you know about your loneliness? How did they react?
5. Mitä haluaisit sanoa muille vastaavassa tilanteessa oleville? What would you like to say to others in a similar situation?
Closed questions: During worst time of your life, did you feel
CONTENT ACCEPTED HAPPY
DEPRESSED SAD LONELY
CALM
(high value=red)
Closed questions: How (dis)content are you now with
(discontent=red) ONESELF FRIENDS
FREE TIME
FAMILY RELATIVES
LIVING STD WORK HEALTH
Segmenting loneliness (discontent=red)
family relationships support
completely alone
problems now: freetime, work, self, health, standard of living,
Problems with friends Problems with family
Krista Lagus, Juho Saari, Ilari T. Nieminen, and Timo Honkela. Exploration of loneliness questionnaires using the self-organising map. Proc. ICANN 2013, pp. 405–411, 2013.
Positive change in loneliness - what is happening?
LONELINESS LAST MONTH
LONELINESS IN WORST TIME OF LIFE
HAPPINESS LAST MONTH
Node 64, what helped: Professional help: psychotherapy/Aslak/perheasiain neuvottelu
Christ / spirituality /religion / god, found an amazing friend / some positive encounters running, crying, meeting my own emotions, forgiveness moving, hobbies, culture
Status now � Network of loneliness researchers led by prof. Juho Saari collected a
27,000 people data set on loneliness (HS questionnaire 2014)
� Tens of questions on various aspects of health, wellbeing and experienced loneliness
� A text question: 3400 people answered “How does loneliness feel”?
� Some initial experiments done – no funded project for systematically analyzing the data
� Could we discover “loneliness types”?
� Correlation btw written description of experienced loneliness and wellbeing indicators?
Challenges � How to recognize mass
emotions from texts?
� How to detect the dynamic change of emotions within discussion threads?
� Strategies and roles of discussants? Troll, Diplomat?
� Sentiment analysis is challenging, typically positive/negative categories only obtained with sufficient accuracy
� PERMA: 5-dimensional theory of wellbeing & associated vocabulary
� Ad hoc: Vocabularies of emotional terms
� Empirical linguistic theory of emotional expressions: Seija Tuovila dissertation on emotions (in Finnish)
Resources
� Lack of knowledge on the mapping between felt emotions and textual expressions
� National differences: Translation approaches may not be sufficient
Background: PERMA analysis of Big data conversations
0
0,5
1
1,5
2
2,5
3
3,5
4
4,5
ENRON Wikipedia EUROPARL
Positivity Meaning Achievement
Honkela, Korhonen, Lagus, Saarinen (2014). Five-dimensional sentiment analysis of corpora, documents and words. Proceedings of WSOM 2014.
EU (EUROPARL) discussions are full of meaning, low on talk how to achieve
ENRON corporate emails are positive and talk about concrete achievements but lack talk of meaning
VS
Dynamics over time: Joy and Happiness peaks in 2005 and 2009
Data: about 3 million comments in suomi24, a nationally representative chat forum
Frequency analysis based on synonym dictionary definitions of emotions Searches using Korp.csc.fi
Discussion area profiles: where is most fear & worry?
Health Society
Relationships
Data: about 3 million comments in suomi24, a nationally representative chat forum
Frequency analysis based on synonym dictionary definitions of emotions Searches using Korp.csc.fi
Daily rythms
• Lunchtime Activity Peak: At 11-12 lots of comments & lengthy
comments!
• Fast-paced evening: 21-23 most new threads & comments, &
shortest comments
• Hour of the Wolf: At 04-05 longest comments
• Asleep: 05-06
0
1
2
3
4
5
6
7
1 3 5 7 9 11 13 15 17 19 21 23
Number of comments (24h) %
32
33
34
35
36
37
38
39
40
41
42
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 h
Word count per comment (24h)
0
1
2
3
4
5
6
7
1 3 5 7 9 11 13 15 17 19 21 23
Ketjujen aloituksia Kommentteja
Sanoja
%
Sanat, aloitukset ja kommentit (24h)
Data: 56 million posts of Suomi24