Authors: Kantosalo, A., & Riihiaho, S.
Paper Abstract: "Collaboration with artificial intelligence (AI) is a growing trend even in the field of creativity. This paper examines which quantitative metrics can be used to comparatively analyse human-computer co-creativity with children. To study this question, 24 schoolchildren of age 10–11 wrote a poem with three co-creative poetry writing processes: a human-computer, a human-human, and a human-human-computer process. The computational participant in the processes was an AI-based application called the Poetry Machine. The children were asked to evaluate their user experience with a 5-point Likert-type questionnaire after each writing process and a comparative questionnaire after finishing all processes. The metrics used in the evaluation were immediate fun, long-term enjoyment, creativity, self-expression, outcome satisfaction, ease of starting and finishing writing, quality of ideas and support from others, and ownership." (Kantosalo & Riihiaho, 2019)
Kantosalo, A., & Riihiaho, S. (2019). Quantifying co-creative writing experiences. Digital Creativity, 30(1), 23-38.
Authors: Oliveira, H. G., Mendes, T., & Boavida, A.
Paper Abstract: "Co-PoeTryMe is a web application for poetry composition, guided by the user, though with the help of automatic features, such as the gen- eration of full (editable) drafts, as well as the acquisition of additional well-formed lines, or semantically-related words, possibly con- strained by the number of syllables, rhyme, or polarity. Towards the final poem, the latter can replace lines or words in the draft." (Oliveira et al., 2017)
Oliveira, H. G., Mendes, T., & Boavida, A. (2017, September). Co-poetryme: a co-creative interface for the composition of poetry. In Proceedings of the 10th International Conference on Natural Language Generation (pp. 70-71).