After the experiments, Question 2 was “I felt emotional when the generated text appeared. Which emotions did you feel, please describe?”

Summary

Two thirds of people (64%) were emotionally involved in their text generation experiments. Many emotions were raised. A third (36%) professed no emotion, or indicated none but added a named feeling. Of the named emotions, 60% were positive.

Sentiment analysis indicated Anger, Joy and Sadness but not Fear.

Here are two example replies:

“Having started with a caption of a photo of a dog in a backpack, ending up with generated text revolving around two (married?) friends being involved in a shooting/robbery was quite jarring. However, I wasn’t particularly invested in their story – mostly I just found the tone amusing.”

“I actually felt disappointed with the first round as the generated text seemed to miss the point or maybe make an irrelevant reply. I felt cautious and was unhappy when the text was not relevant. I did feel very interested and pleased when the generated text was related and built upon my ideas. I may try this again and use only words and not sentences. I wonder what it would do then.”

Overall from keywords:

No emotions 9 – Positive 15 – Negative  10:

Q2 feel emotions pos neg

Breakdown of stated emotions:

Q2 feel emotions all

Details

Q2/6: I felt emotional when the generated text appeared:

[Likert 1-5 Strongly agree  – Strongly disagree]

Median – 3 (Neutral)

Which emotions did you feel, please describe?

IBM Tone Analysis

Anger 0.54  Joy 0.60 Sadness 0.57  Analytical 0.81 Tentative 0.88 (Confident, Fear <.5)

KEYWORDS/PHRASES
no emotions 9

excited/interested /curious 7 (pos)

amusing 5 (pos)

boring/frustrating 5 (neg)

disappointed/negative 5  (neg)

satisfied/pleased 3 (pos)

KEYWORDS
no emotions 9 (one paired)

amusing 5

boring/frustrating 5

excited/interested /curious 7

satisfied/pleased 3

disappointed/negative 5

 

No emotion 9

Positive 15

Negative  10

Data

jarring amusing

disappointed cautious unhappy very interested pleased

interest

humor awkwardness

curiosity

amusement

interest

boredom

satisfaction

spooked

surprised interest amusement extremely annoying

frustration

excitement

slightly frustrating

bemusement

frustration

disappointed

amusement

excitement awe

Q2 Feel emotion

Q2 Answer Texts 

Thinking of my observations of what the picture contained.

Having started with a caption of a photo of a dog in a backpack, ending up with generated text revolving around two (married?) friends being involved in a shooting/robbery was quite jarring. However, I wasn’t particularly invested in their story – mostly I just found the tone amusing.

I actually felt disappointed with the first round as the generated text seemed to miss the point or maybe make an irrelevant reply. I felt cautious and was unhappy when the text was not relevant. I did feel very interested and pleased when the generated text was related and built upon my ideas. I may try this again and use only words and not sentences. I wonder what it would do then.

Not that much

Detached interest, not particularly emotional.

humor, awkwardness

I did not feel any emotions

Didn’t feel any sense of ownership with the generated text I didn’t feel much emotions since the text doesn’t make me feel emotional.

Curiosity

It was mostly amusement due to the many incongruous suggestions

The(re) is something growing Neutral.

I think this was my fault largely though as I didn’t type very much in.

Didn’t really feel emotional.

Piqued interest, if thats an emotion

boredom

Satisfaction when it created something pleasing.

As I said before, I was spooked when I saw the first two texts because they closely reflected the subject matter of the film I’d just watched. It was as if the generator could read my mind. You never know! 🙂

A degree of surprised interest when it was relevant. Amusement when it came up with stuff that I would never have come up with, but in a serious job it would have been extremely annoying. Anthropomorphising (which is all too easy to do) one would want to keep saying “focus on the job! We haven’t got all day!”

When it is going finish? Emoticon Grinning Face With Smiling Eyes

Excitement of words appearing like magic

It did not impact me emotionally. I just found it slightly frustrating when I didn’t have freedom to write what I wanted to write.

Bemusement

Frustration at the lack of imagination of the machine. It was definately off kilter with all the examples.

disappointed

Amusement at how hopeless the generated text was.

excitement, awe

IBM TA
Anger 0.54 Joy 0.60 Sadness 0.57 Analytical 0.81 Tentative 0.88 (Confident, Fear <.5)