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OPPORTUNITY FOR VIDEO-ON-DEMAND
SERVICES – COLLECTING CONSUMER’S
NEUROPHYSIOLOGY DATA FOR
RECOMMENDATION SYSTEMS
IMPROVEMENT
Kristian Dokic
Tomislava Lauc
Recommending systems
■ help video-on-demand services consumers to
identify attractive movies or video content
■ personalized and non-personalized
■ non-personalized - without consumer profiles
analysis
■ Personalized – based on consumer profiles
2 State of the art
■ Four classes of RS:
a) Collaborative - aggregate ratings or recommendations of objects,
recognize commonalities between users on the basis of their
ratings, and generate new recommendations based on inter-user
comparisons
b) Content-based - categorize the user based on personal attributes
and make recommendations based on demographic classes
c) Demographic - the objects of interest are defined by their
associated features
d) Knowledge-based - suggest objects based on inferences about a
user’s needs and preferences [Burke, 2002]
2.2 Electrodermal activity
■ Old idea, 19th century
■ Skin conductance varies because of skin sweating that
is controlled by a sympathetic nervous system
■ Sweat gland activity increases if the sympathetic
nervous system is highly aroused
■ Used by many authors for stress detecting
■ decreasing in galvanic skin response when the game
difficulty has increased
■ horror, action and science fiction movies significant elicit
electrodermal response unlike comedy and drama
2.3. Heart rate
■ essential indicator of the consumer’s
emotional state
■ average time between peaks of measured
waves
■ low arousal is associated with no heart rate
acceleration or deceleration, but high
arousal is associated with heart rate
acceleration and deceleration and generally
high heart rate
■ galvanic skin response and heart rate data
can be used for stress detection with 99%
accuracy
3. Research – sample and methodology 1/3
■ 21 students ( between 20 and 33 years old) have watched
movie trailers, and differences between the female and male
group in electrodermal activity and heart rate have been
analyzed
■ 4 trailers, 2 action movies (“No time to die” and “Underwater”)
+ 2 romance movies (“I still believe” and “Little women”)
■ the movies that were not available in the theatres have been
chosen intentionally
■ Video clip – 618 seconds
3. Research – sample and methodology 2/3
■ Students had headphones and Empatica E4 wrist band for
neurophysiological data recording
■ after every trailer student rated the trailer in the questioner
with a score between 1 and 10
■ beside the digit 1 on the questioner there is the text “I do
not want to watch!” and beside the digit 10 is the text “I
want to watch!”
3. Research – sample and methodology 3/3
■ Empatica E4 wrist band is equipped with sensors for skin
temperature, blood volume pulse, motion and fluctuation
changes in electrical properties of the skin
■ Empatica E4 wrist band have to be connected with a
smartphone with Bluetooth connection while data is
recording
3. Research - data processing and results
■ from the Empatica cloud, we could download
six files with some kind of data for every
student
■ all files were in CSV format, but for this
research, only HR.csv and EDA.csv are used
■ HR.csv contains average heart rate
frequency in a minute, and it is based on ten
seconds intervals. Frequency of sampling is
one sample per second
■ EDA.csv contains skin conductance values
sampled four times per second
3. Research - data processing and results
■ a weak negative correlation between trailers scores and
standard deviation of heart rate has been found in the
female group data (R=-0,30; p=0,050).
■ a weak positive correlation between trailers/movie scores
and standard deviation of heart rate has been found in the
male group data (R=0,32; p=0,047)
0
1
2
3
4
5
6
7
8
9
0 2 4 6 8 10 12
St.dev.
Score
FEMALE GROUP
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12
St.dev.
Score
MALE GROUP
3. Research - data processing and results
■ raw data from EDA.csv file could
not be statistically analysed
without previous preprocessing
■ Matlab based software/plugin
called Ledalab has been used
0
2
4
6
8
10
12
1
90
179
268
357
446
535
624
713
802
891
980
1069
1158
1247
1336
1425
1514
1603
1692
1781
1870
1959
2048
2137
2226
2315
2404
uS
seconds x 4
3. Research - data processing and results
■ Ledalab has been used for
decomposition of skin conductance
into tonic and phasic component
■ Ledalab provides discrete
decomposition analysis, and it has
been used
■ list of detected skin conductance
response have been available
3. Research - data processing and results
■ difference between female and male students has been
analyzed with t-test and it is statistically significant but only
in skin conductance response number between genders,
regardless of the trailer genre
FEMALE
MALE
0
5
10
15
20
25
30
0-10 11-20 21-30 31-40 41-50 51-60
Numberofstudents-trailerstreams
Number of SCR per student-trailer stream
Female/male difference
FEMALE MALE
5 Conclusion
■ Video-on-demand market is expected to grow from forty billion dollars in
2019 to almost ninety billion dollars by 2024
■ neurophysiological responses to movies and movie trailers can be recorded
in real-time and sent to Video-on-demand services, and it can be used to
improve service recommendation systems
■ for the begining, Video-on-demand service can reduce the cost of a
subscription if consumers use bracelets that record neurophysiological
responses, because lots of data are needed to build model
■ Our findings can be used to improve a recommendation system model,
because some corrections have to be made based on consumer gender
Icdec2020_presentation_slides_7

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Icdec2020_presentation_slides_7

  • 1. OPPORTUNITY FOR VIDEO-ON-DEMAND SERVICES – COLLECTING CONSUMER’S NEUROPHYSIOLOGY DATA FOR RECOMMENDATION SYSTEMS IMPROVEMENT Kristian Dokic Tomislava Lauc
  • 2. Recommending systems ■ help video-on-demand services consumers to identify attractive movies or video content ■ personalized and non-personalized ■ non-personalized - without consumer profiles analysis ■ Personalized – based on consumer profiles
  • 3. 2 State of the art ■ Four classes of RS: a) Collaborative - aggregate ratings or recommendations of objects, recognize commonalities between users on the basis of their ratings, and generate new recommendations based on inter-user comparisons b) Content-based - categorize the user based on personal attributes and make recommendations based on demographic classes c) Demographic - the objects of interest are defined by their associated features d) Knowledge-based - suggest objects based on inferences about a user’s needs and preferences [Burke, 2002]
  • 4. 2.2 Electrodermal activity ■ Old idea, 19th century ■ Skin conductance varies because of skin sweating that is controlled by a sympathetic nervous system ■ Sweat gland activity increases if the sympathetic nervous system is highly aroused ■ Used by many authors for stress detecting ■ decreasing in galvanic skin response when the game difficulty has increased ■ horror, action and science fiction movies significant elicit electrodermal response unlike comedy and drama
  • 5. 2.3. Heart rate ■ essential indicator of the consumer’s emotional state ■ average time between peaks of measured waves ■ low arousal is associated with no heart rate acceleration or deceleration, but high arousal is associated with heart rate acceleration and deceleration and generally high heart rate ■ galvanic skin response and heart rate data can be used for stress detection with 99% accuracy
  • 6. 3. Research – sample and methodology 1/3 ■ 21 students ( between 20 and 33 years old) have watched movie trailers, and differences between the female and male group in electrodermal activity and heart rate have been analyzed ■ 4 trailers, 2 action movies (“No time to die” and “Underwater”) + 2 romance movies (“I still believe” and “Little women”) ■ the movies that were not available in the theatres have been chosen intentionally ■ Video clip – 618 seconds
  • 7. 3. Research – sample and methodology 2/3 ■ Students had headphones and Empatica E4 wrist band for neurophysiological data recording ■ after every trailer student rated the trailer in the questioner with a score between 1 and 10 ■ beside the digit 1 on the questioner there is the text “I do not want to watch!” and beside the digit 10 is the text “I want to watch!”
  • 8. 3. Research – sample and methodology 3/3 ■ Empatica E4 wrist band is equipped with sensors for skin temperature, blood volume pulse, motion and fluctuation changes in electrical properties of the skin ■ Empatica E4 wrist band have to be connected with a smartphone with Bluetooth connection while data is recording
  • 9. 3. Research - data processing and results ■ from the Empatica cloud, we could download six files with some kind of data for every student ■ all files were in CSV format, but for this research, only HR.csv and EDA.csv are used ■ HR.csv contains average heart rate frequency in a minute, and it is based on ten seconds intervals. Frequency of sampling is one sample per second ■ EDA.csv contains skin conductance values sampled four times per second
  • 10. 3. Research - data processing and results ■ a weak negative correlation between trailers scores and standard deviation of heart rate has been found in the female group data (R=-0,30; p=0,050). ■ a weak positive correlation between trailers/movie scores and standard deviation of heart rate has been found in the male group data (R=0,32; p=0,047) 0 1 2 3 4 5 6 7 8 9 0 2 4 6 8 10 12 St.dev. Score FEMALE GROUP 0 1 2 3 4 5 6 7 0 2 4 6 8 10 12 St.dev. Score MALE GROUP
  • 11. 3. Research - data processing and results ■ raw data from EDA.csv file could not be statistically analysed without previous preprocessing ■ Matlab based software/plugin called Ledalab has been used 0 2 4 6 8 10 12 1 90 179 268 357 446 535 624 713 802 891 980 1069 1158 1247 1336 1425 1514 1603 1692 1781 1870 1959 2048 2137 2226 2315 2404 uS seconds x 4
  • 12. 3. Research - data processing and results ■ Ledalab has been used for decomposition of skin conductance into tonic and phasic component ■ Ledalab provides discrete decomposition analysis, and it has been used ■ list of detected skin conductance response have been available
  • 13. 3. Research - data processing and results ■ difference between female and male students has been analyzed with t-test and it is statistically significant but only in skin conductance response number between genders, regardless of the trailer genre FEMALE MALE 0 5 10 15 20 25 30 0-10 11-20 21-30 31-40 41-50 51-60 Numberofstudents-trailerstreams Number of SCR per student-trailer stream Female/male difference FEMALE MALE
  • 14. 5 Conclusion ■ Video-on-demand market is expected to grow from forty billion dollars in 2019 to almost ninety billion dollars by 2024 ■ neurophysiological responses to movies and movie trailers can be recorded in real-time and sent to Video-on-demand services, and it can be used to improve service recommendation systems ■ for the begining, Video-on-demand service can reduce the cost of a subscription if consumers use bracelets that record neurophysiological responses, because lots of data are needed to build model ■ Our findings can be used to improve a recommendation system model, because some corrections have to be made based on consumer gender