Closed binarybottle closed 5 years ago
I struggle with these labeled-node/unlabeled-edge examples, for two main reasons.
To the point of organization, I think a spreadsheet is the wrong medium for this exploration, for these reasons:
The type of diagram we've been working with in issue #25 is, to me, a much more appropriate format.
Short of diagramming, I also think you could better express these examples in plain text, e.g., the third example above can be more precisely expressed as
I don't know how that kind of complexity can be clearly expressed in a spreadsheet.
(P.S. I have (2) & (3) as the same shape and color in the above diagram because I still don't understand where or why to draw the line between these classes of entity)
In response to arno,
'we are merely inferring' - this resolves my concern that sometimes, claims are made by the apps. In the second example, a facial recognition algorithm has been used by the app but I added FACS as another way of measuring facial expressions to highlight that many methods may be used. I have added (7) as how the device does the measurement to represent algorithms etc.
Here are the other examples configured to the above structure
(1) mental/bodily state (2) measurable characteristic of mental/bodily state (3) quantity to measure (4) location of measurement (5) sensor (6) device (links to information like makers, models, characteristics of device, etc.)
(1) pain (2) skin conductance (3) electrodermal activity (4) fingertip (5) EDA sensor (6) Medasense
(1) pain (2) heart rate variability (3) blood property change (4) fingertip (5) PPG (6) Medasense
(2) salinity/amount of sweat (3) reactions with chemical reagents that result in visible color changes (4) skin, forearm or back (5) microfluidic channel system (6) wearable microfluidic electronic device
(1) tense, focused, or calm state of mind (2) respiration (3) expansion and contraction of the torso (4) torso (5) force sensors (6) spire
(1) night terrors (2) myoclonic twitches, jerks, shaking (3) movement (4) wrist (5) accelerometer or piezoelectric sensor (6) nightwear
(1) ability/willingness to speak in social situations (2) voice (3) audio (4) chest (5) microphone (6) lena audio device
(1) mania (2) voice (3) increase in rate, rhythm and volume (4) external (5) microphone (6) priori (7) algorithm - analysed by computer software
(1) depression (2) voice (3) decrease in rate, rhythm and volume (4) external (5) microphone (6) priori (7) algorithm - analysed by computer software
(1) anxiety due to eating/feelings of overeating (2) quakes that rise around the skin of the neck (3) tremors/vibrations (4) throat (5) piezoelectric sensors (6) accubite
(1) physical and emotional response - positive social relationship (2) heart rate variability (3) Blood Volume Pulse (BVP) (4) wrist (5) PPG (6) pplkpr (7) emotion classification algorithm
(2) peripheral skin temperature (3) temperature (4) wrist (5) infrared thermophile (6) E4
In response to Jon,
1) Thank you - I have no problems to move away from a spreadsheet format to represent such examples as you have elegantly done. However, how would we input this information into the database eventually (I was under the impression that we were pulling from the sheet into the database)?
2) "(P.S. I have (2) & (3) as the same shape and color in the above diagram because I still don't understand where or why to draw the line between these classes of entity)" (2) measurable characteristic of mental/bodily state (3) quantity to measure
We could do what we did for the 'SymptomsAllinOne' sheet where we had all entries in a single column and mapped them to each other within the same column vs associating them with indices in different worksheets as we are doing now.
3) Once we all agree on a structure, I hope to make lists of (1), (2) (3), (4), (5), (6); and probably map them through indices while also adding what Jon suggested (eg defining relationships between them) or any other appropriate way to do it
4) I will also classify our neutral behaviors and add them into one of our lists (1-6)
Jon -- Absolutely agree about identifying links, using graphs instead of spreadsheets, and taking advantage of all that linked data has to offer us to establish meaningful relationships. Thank you for taking care in reframing the example as a flowchart and with marked up text.
Anirudh -- Please be careful with your examples. "blood property change" is too vague to be a quantity to measure, respiration could be written as "expansion and contraction of the torso during respiration" while (3) would be "movement" just like with night terrors...
Thank you. I have re-written the ones that I felt merited change.
(1) tense, focused, or calm state of mind (2) expansion and contraction of the torso during respiration (3) movement (4) torso (5) force sensors (6) spire vs (1) tense, focused, or calm state of mind (2) respiration (3) expansion and contraction of the torso (4) torso (5) force sensors (6) spire
(1) pain (2) heart rate variability (3) how? (4) fingertip (5) PPG (6) Medasense vs (1) pain (2) heart rate variability (3) blood property change (4) fingertip (5) PPG (6) Medasense
(1) mania (2) voice (3) increase in rate, rhythm and volume (4) external (5) microphone (6) priori (7) algorithm - analysed by computer software vs (1) mania (2) increase in rate, rhythm and volume of voice (3) increase in rate, rhythm and volume of voice (4) external (5) microphone (6) priori (7) algorithm - analysed by computer software
(1) depression (2) voice (3) decrease in rate, rhythm and volume (4) external (5) microphone (6) priori (7) algorithm - analysed by computer software vs (1) depression (2) decrease in rate, rhythm and volume of voice (3) decrease in rate, rhythm and volume of voice (4) external (5) microphone (6) priori (7) algorithm - analysed by computer software
(1) anxiety due to eating/feelings of overeating (2) quakes that rise around the skin of the neck (3) tremors/vibrations (4) throat (5) piezoelectric sensors (6) accubite vs (1) anxiety due to eating/feelings of overeating (2) quakes that rise around the skin of the neck while swallowing (3) tremors/vibrations (4) throat (5) piezoelectric sensors (6) accubite
@anirudh4792:
@binarybottle: I'll say we're all welcome since that exercise was as much for me as for everyone else. I used @anirudh4792's shape and color markup from issue #25, so thanks to him for that clarity.
@anirudh4792: In the rewritten examples above, is "how?" a blank node?
Also, voice is such an interesting thing to try to isolate and quantify.
Thanks for the clarification that it is possible (if not easier) to pull from graphs rather than spreadsheets. Totally agree that interpreting and visualizing things from a graphical diagram is way cooler than doing so from a spreadsheet.
I really like your cartoons/gifs (along the lines of avatars). I am thinking of assigning such pictures to our core neutral behaviors (a magnifying glass to represent attention to detail for example). It also helps us go closer to Arno's taxonomy paper where entires could be converted, represented and compared as symbols
I am creating lists (from our 15 examples + neutral behaviors) for 1-6.
We previously had (1) mental/physiological state and (2) measurable bodily state/bodily condition but now, we have (1) mental/bodily state, (2) measurable characteristic of mental/bodily state, (3) quantity to measure and I feel a behavior could fall under any of the three.
Here is an example of the list
(1) mental/physiological state pain tense, focused, or calm state of mind night terrors ability/willingness to speak in social situations sharing emotions socio-emotional reciprocity
(2) measurable bodily state/bodily condition motor tics <eye blinking, shoulder shrugging, extension of extremities, simultaneous head turning, copropraxia, echopraxia> vocal tics <throat clearing often caused by contraction of the diaphragm or muscles of the oropharynx, sniffing often caused by contraction of the diaphragm or muscles of the oropharynx, grunting often caused by contraction of the diaphragm or muscles of the oropharynx, palilalia, echolalia, coprolalia> Palpitations accelerated heart rate Sweating Trembling shaking Feelings of shortness of breath feelings of smothering Feelings of choking chest pain
I feel having the distinction between bodily state and mental state would be useful. We could form sub groups (50 core neutral behaviors) between these.
I love words but often find other media to be more effective and/or efficient at communicating. Creative Commons Search is my go-to for media that I don't make myself.
Thanks jon! @binarybottle I liked this! Enter your search query Parents add a query - I want something that I can.. or a core neutral behavior (eg attention)
Search using We would have our different components (symptoms, questions, people, apps, measures etc.). They could turn on multiple options (eg symptoms mapped to questions)
this issue seems to be moving in directions of front end development and sensor/symptom mapping in other issue(s). please refer future readers to relevant issues and close, or migrate extant issues to their own issues that are properly labeled.
We should relate: (1) mental/bodily state (2) measurable characteristic of mental/bodily state (3) quantity to measure (4) location of measurement (5) sensor (6) device (links to information like makers, models, characteristics of device, etc.)
Three examples adapted from Anirudh's google doc:
I just want to note that we should acknowledge that we are merely inferring (2). In the first example, we are inferring brain electrical activity, but actually measuring scalp field potentials. In the second example, we are inferring something about facial expression, but are actually relying on human judgment (FACS) or measuring anthropometric measures from extracted facial features.