i have created a hypothesis on interpersonal compatibility,
which i describe in my book
Pallas. Who are my friends. Group composition by personality type
so far, this is just a hypothesis,
with some anecdotal evidence,
but no serious scientific evaluation
the evaluation of my hypothesis poses two challenges
-
measuring personality types
-
measuring interpersonal compatibility
too many errors come from
-
self-report: participants can game personality type questionnaires
-
language: personality type questionnaires assume objective definitions of words
-
self-deception: unrealistic self-image, “living a lie”, wishful thinking, behavior in low-stress settings (but personality type = typical stress response)
apparently there is some research
that found low to moderate correlations between EEG scans and personality traits
i dont have the money (about 1200 euros)
to buy all the hardware for this experiment,
so maybe someone who already owns the hardware
can conduct these experiments
four personality types
-
type 1 = high stress reactivity + high recovery speed
-
type 2 = low stress reactivity + low recovery speed
-
type 3 = high stress reactivity + low recovery speed
-
type 4 = low stress reactivity + high recovery speed
see also: the strange situation
metric 1: stress reactivity = stress-induced change in Alpha power and Beta power compared to baseline
-
types 13 = large change = high stress reactivity = easy to distract = childish
-
types 24 = small change = low stress reactivity = hard to distract = mature
metric 2: recovery speed = how fast EEG returns to baseline after stress ends
-
types 14 = high recovery speed = tough-minded = psychotic = masculine
-
types 23 = low recovery speed = tender-minded = neurotic = feminine
metric 3: synchrony between two brains
-
higher synchrony = higher compatibility
-
lower synchrony = lower compatibility
brain synchrony shows in
-
synchronized alpha waves (8–12 Hz) in frontal regions (F3 F4 Fz)
-
synchronized theta waves (4–8 Hz) in frontal and central regions (F3 F4 Fz C3 C4 Cz)
two participants interact, or at least are physically very close (eye contact, shaking hands, hugging). i assume that the two nervous systems can sense each other (RF sensing, aura, telepathy, subconscious) and there is not much need for active interaction.
active interaction could be: speaker and listener = teacher and student. person A tells a complex story, person B tries to listen and understand the story, and later reproduce the story as lossless as possible
effects appears within minutes.
true synchrony is stable over time
metric 4: stress transfer
-
upward regulation = escalation = low compatibility
-
downward regulation = deescalation = high compatibility
problem: how to induce “stress”?
is physical proximity to an incompatible human enough stress?
Galvanic Skin Response
-
high skin conductance = high stress = low compatibility
-
low skin conductance = low stress = high compatibility
Galvanic Skin Response offers higher time-resolution than Heart rate
(lower latency,
2 seconds in GSR versus 10 seconds in HRV)
Skin conductance =
sympathetic nervous system activation =
“fight or flight” response =
sweat gland activity increases =
skin becomes more electrically conductive =
emotional arousal =
threat detection =
anticipatory anxiety
metric 5. Heart rate variability (HRV) synchrony
-
higher synchrony = higher compatibility
-
lower synchrony = lower compatibility
optional?
Heart rate offers lower time-resolution than Galvanic Skin Response
metric 6: resting Heart rate variability (HRV)
-
types 14 = high resting HRV = high recovery speed
-
types 23 = low resting HRV = low recovery speed
repeated pairings
example:
my thesis predicts:
-
M1 and M2 are compatible
-
M1 and M3 are incompatible
so we have a “three-body problem”
-
M2 is in room A
-
M3 is in room B
-
M1 alternates between the rooms
expected result:
the alternations between compatible relation (M1 and M2)
and incompatible relation (M1 and M3)
correlate with the brain synchrony between the three brains
speed dating
broad-first search
many persons, short time per person
only one person has EEG scanner
## hardware
3 times...
- EEG scanner 8-channel: 400 euros
- [OpenBCI module 8-channel WiFi](https://www.alibaba.com/product-detail/One-set-of-OpenBCI-8-channel_1601281770688.html): 300 Euro (wireless operation is preferred for electrical isolation from the power grid)
- [10x EEG electrode gold-plated 1.5m cable DIN 1.5mm plug](https://www.alibaba.com/product-detail/10pcs-Multicolor-Din-1-5mm-Female_1600232710963.html): 25 Euro (better: [silver electrodes](https://en.wikipedia.org/wiki/Silver_chloride_electrode))
- [EEG head cap black](https://www.alibaba.com/product-detail/Smart-Health-Transcranial-Electrogram-Cap-for_1601523355047.html): 20 Euro
- [8x Touch-Proof DIN 1.5mm male plug](https://www.alibaba.com/product-detail/DIN-1-5mm-Touch-Proof-Terminal_1601301159927.html): 15 Euro (required to [connect pin header and electrode cables](https://shop.openbci.com/products/touch-proof-electrode-cable-adapter))
- [Galvanic skin response GSR sensor module + electrodes](https://wiki.seeedstudio.com/Grove-GSR_Sensor/): 10 Euro
- [Heart Rate sensor module](https://www.alibaba.com/product-detail/Keyestudio-XD-58C-Pulse-Sensor-Measurement_1601574934957.html): 2 Euro
challenges:
- connect EEG electrodes to human heads (use contact gel?) (use comb electrodes?)
- synchronize measurements between all devices
- [connect GSR sensor to OpenBCI module](https://openbci.com/forum/index.php?p=/discussion/156/gsr-openbci)
- use AC current to drive the GSR sensor to avoid polarization of the GSR electrodes
- no contact gel for the GSR electrodes
- [connect HRV sensor to OpenBCI module](https://docs.openbci.com/ThirdParty/Pulse_Sensor/Pulse_Sensor_Landing/)
## software
- [mne-python](https://github.com/mne-tools/mne-python)
- ...?
it would be nice to have some custom software
to plot all metrics of all participants on some display
joining metrics of all participants would require
a bluetooth/wifi network
with a shared clock signal for synchronization
the main node in this network
is broadcasting the clock signal to client nodes
and client nodes send their timestamped measurement data to the main node
so the main node can analyze and plot the measurement data
with a peer-to-peer network (client nodes talking to each other),
we could also measure the physical distance between nodes,
using ping latency as a proxy for physical distance,
so the system can correlate physical proximity and brain synchrony
## calibration of personality types
expected patterns of stress reactivity and recovery speed
can be established by measuring participants
who obviously fit into the two extreme body types:
- type 3 = endomorph = extreme broad, round face
- type 4 = ectomorph = extreme long, long face
## calibration of compatibility
expected patterns of brain synchrony
can be established by measuring stable romantic couples
who self-report a high relationship satisfaction
## see also
- [ChatGPT-Reliable-Personality-Tests.md](https://github.com/milahu/alchi/blob/master/english/chats/ChatGPT-Reliable-Personality-Tests.md#prompt-5)
- [alchi-types.html](https://milahu.github.io/alchi/src/alchi-types/alchi-types.html)
### studies based on EEG scans
- [Neurocognitive correlates of liberalism and conservatism. Amodio 2007](https://sci-hub.ru/https://doi.org/10.1038/nn1979)
- [The political (and physiological) divide: Political orientation, performance monitoring, and the anterior cingulate response. Weissflog 2013](https://sci-hub.ru/https://doi.org/10.1080/17470919.2013.833549)
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FIXME `An error occurred: Sorry, new users can only put 2 links in a post.`
this is a crosspost from [reddit.com/r/BCI](https://www.reddit.com/r/BCI/comments/1r8yral/measuring_personality_types_and_interpersonal/)