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Neural language models have the potential to support human writing. However,questions remain on their integration and influence on writing and output. Toaddress this, we designed and compared two user interfaces for writing with AIon mobile devices, which manipulate levels of initiative and control: 1)Writing with continuously generated text, the AI adds text word-by-word anduser steers. 2) Writing with suggestions, the AI suggests phrases and userselects from a list. In a supervised online study (N=18), participants usedthese prototypes and a baseline without AI. We collected touch interactions,ratings on inspiration and authorship, and interview data. With AI suggestions,people wrote less actively, yet felt they were the author. Continuouslygenerated text reduced this perceived authorship, yet increased editingbehavior. In both designs, AI increased text length and was perceived toinfluence wording. Our findings add new empirical evidence on the impact of UIdesign decisions on user experience and output with co-creative systems.

cornell university

Suggestion Lists vs. Continuous Generation: Interaction Design for  Writing with Generative Models on Mobile Devices Affect Text Length, Wording  and Perceived Authorship