Fascinating. I favor option 3, but maybe that’s because I didn’t pick any of the initial emotion descriptions. I would have said “impatient but placated” or “happy but a bit resentful about the delayed gratification.”
My reaction is 2/3 Annoyance - I've waited since September; and 1/3 relief - the event has happened (thing has been delivered, or whatever). So I have an emotion not covered in the list, and an unequal apportion. So perhaps they should (1) run past the respondents to gather possible reactions, (2) remove synonyms (3) weight similar responses, to remove dilution between similar views (4) allow apportion between mixed views.
I can't think of the tags as the ground truth. The other comments have it: the flaw in trying to tag or model human sentiment like this is in trying to distill an utterance into separate emotion words. Words themselves are lossy compressions. There may very well be a 'ground truth' of universal subjective human experience underlying that utterance, but trying to pull it down into vague approximation in those discrete tags of words is going to scatter and dilute it because obviously everyone will pick different words because we all have slightly different understandings of the meaning of each word. This is because we all have different histories of using each word in our string of language games
I would have sensed slight irritation as in “it’s about time!” without any context but in real human interaction, context and also intonation would be very important in understanding the meaning.
It mostly conveys relief, with a side of impatience.
“Good” signals approval of the outcome, but “I’ve been waiting since September!” frames it as a long-delayed resolution, which is classic finally! energy rather than pure excitement or gratitude.
Fascinating. I favor option 3, but maybe that’s because I didn’t pick any of the initial emotion descriptions. I would have said “impatient but placated” or “happy but a bit resentful about the delayed gratification.”
Oh, that’s exactly how I read it!
My reaction is 2/3 Annoyance - I've waited since September; and 1/3 relief - the event has happened (thing has been delivered, or whatever). So I have an emotion not covered in the list, and an unequal apportion. So perhaps they should (1) run past the respondents to gather possible reactions, (2) remove synonyms (3) weight similar responses, to remove dilution between similar views (4) allow apportion between mixed views.
I read it as frustration or impatience. I wonder if that reflects what I do for a living?
I can't think of the tags as the ground truth. The other comments have it: the flaw in trying to tag or model human sentiment like this is in trying to distill an utterance into separate emotion words. Words themselves are lossy compressions. There may very well be a 'ground truth' of universal subjective human experience underlying that utterance, but trying to pull it down into vague approximation in those discrete tags of words is going to scatter and dilute it because obviously everyone will pick different words because we all have slightly different understandings of the meaning of each word. This is because we all have different histories of using each word in our string of language games
I would have sensed slight irritation as in “it’s about time!” without any context but in real human interaction, context and also intonation would be very important in understanding the meaning.
Adam, there is so much that we need to learn and be careful about. Thank you.
It mostly conveys relief, with a side of impatience.
“Good” signals approval of the outcome, but “I’ve been waiting since September!” frames it as a long-delayed resolution, which is classic finally! energy rather than pure excitement or gratitude.