all AI news
Writer-Defined AI Personas for On-Demand Feedback Generation
Feb. 21, 2024, 5:49 a.m. | Karim Benharrak, Tim Zindulka, Florian Lehmann, Hendrik Heuer, Daniel Buschek
cs.CL updates on arXiv.org arxiv.org
Abstract: Compelling writing is tailored to its audience. This is challenging, as writers may struggle to empathize with readers, get feedback in time, or gain access to the target group. We propose a concept that generates on-demand feedback, based on writer-defined AI personas of any target audience. We explore this concept with a prototype (using GPT-3.5) in two user studies (N=5 and N=11): Writers appreciated the concept and strategically used personas for getting different perspectives. The …
abstract arxiv audience concept cs.cl cs.hc demand explore feedback personas readers struggle type writer writers writing
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Software Engineer, Data Tools - Full Stack
@ DoorDash | Pune, India
Senior Data Analyst
@ Artsy | New York City