Human-machine interactions with clinical phrase prediction system, aligning with Zipf's least effort principle?

ABSTRACT: The essence of language and its evolutionary determinants have long been research subjects with multifaceted explorations. This work reports on a large-scale observational study focused on the language use of clinicians interacting with a phrase prediction system in a clinical setting. By adopting principles of adaptation to evolutionary selection pressure, we attempt to identify the major determinants of language emergence specific to this context. The observed adaptation of clinicians' language behaviour with technology have been confronted to properties shaping language use, and more specifically on two driving forces: conciseness and distinctiveness. Our results suggest that users tailor their interactions to meet these specific forces to minimise the effort required to achieve their o

SUBMITTER: Zaghir J 

PROVIDER: S-EPMC11687647 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature