Last feedback question – final comments

Q6 – Please comment on anything else you noticed. (There was no Likart scale.) Summary All comments were positive and neutral in this final section. Four plagiarism comments and one fake news comment were also in here (and have been moved), showing it is useful to have a general question at the end to pick Continue Reading

What emotions did people feel using the text generator?

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 Continue Reading

Word processor with added text generator

After the experiments, Question 4 was “Do you think you would use this, or a similar feature, in an ideas editor or word processor? Extra features?” Summary Likart median score was 3, Neutral (actually, balanced). The data shows that this polarised opinion, with positive only slightly more than negative, and few neutrals. There were no Continue Reading

Did people enjoy using the text generator?

After the three experiments, people were first asked two related questions. Question 1 “Enjoyment (what was Most and Least enjoyable)”. Summary People most liked the stimulation of a responsive ideas generator, rather than expecting the system to actually write coherent relevant text. The ‘least interesting’ question produced more specific replies, and specific complaints about the Continue Reading

Ownership and Plagiarism of generated texts

Two of the questions after the text generation experiments dealt with ownership of the text. Do you feel that you have used somebody else’s work? [Likart scale 1-5, Strongly Agree, Agree… Strongly Disagree] Does this seem relevant and why? Do you think you could sell this as your own work? [Likart scale 1-5] Do you Continue Reading

Edit generated text or not? That is the question

Index of AI research Summary The writing task involved generating text and then copying it into a text editor for rewriting, to create a hybrid work. The text generator allowed repeats but no actual fine editing. So by observing what happened in the editing window, it was possible to see if any editing had taken place. Continue Reading