Choice Over Control: How Users Write with Large Language Models Using Diegetic and Non-Diegetic Prom...
Informations
- Type:
- inproceedings
- Auteurs:
- Dang, Hai and Goller, Sven and Lehmann, Florian and Buschek, Daniel
- Pertinence:
-
- Référence:
- Doi:
- 10.1145/3544548.3580969
- Mots-clés:
- Human-AI collaboration, Large Language Models, User-centric natural language generation, Co-creative...
- Url:
- https://doi.org/10.1145/3544548.3580969
- Date de publication:
- 12/2022
- Résumé:
- Abstract:
- We propose a conceptual perspective on prompts for Large Language Models (LLMs) that distinguishes between (1) diegetic prompts (part of the narrative, e.g. “Once upon a time, I saw a fox...”), and (2) non-diegetic prompts (external, e.g. “Write about the adventures of the fox.”). With this lens, we study how 129 crowd workers on Prolific write short texts with different user interfaces (1 vs 3 suggestions, with/out non-diegetic prompts; implemented with GPT-3): When the interface offered multiple suggestions and provided an option for non-diegetic prompting, participants preferred choosing from multiple suggestions over controlling them via non-diegetic prompts. When participants provided non-diegetic prompts it was to ask for inspiration, topics or facts. Single suggestions in particular were guided both with diegetic and non-diegetic information. This work informs human-AI interaction with generative models by revealing that (1) writing non-diegetic prompts requires effort, (2) people combine diegetic and non-diegetic prompting, and (3) they use their draft (i.e. diegetic information) and suggestion timing to strategically guide LLMs.
Références
1 articles
| Titre | Type | Pertinence | Auteurs | Date Publication | Références | Citations | Actions |
|---|---|---|---|---|---|---|---|
| Wordcraft: Story Writing With Large Language Models | inproceedings | Haute | Yuan, Ann and Coenen, Andy and Reif, Emily and Ippolito, Daphne | 03/2022 | 3 | 6 |
Citations
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Mots-clés