11 citations · 21 across the 6 of their papers we have counts for
6 papers
When Large Language Models are More PersuasiveThan Incentivized Humans, and Why
Jiacheng Liu, Francesco Salvi, Philipp Schoenegger +37
Large Language Models (LLMs) have been shown to be highly persuasive, but when and why they outperform humans is still an open question. We compare the persuasiveness of two LLMs (…
Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts
Rebekah Baglini, Arthur Hjorth
Natural Language Processing offers new insights into language data across almost all disciplines and domains, and allows us to corroborate and/or challenge existing knowledge. The…
Revisiting Citizen Science Through the Lens of Hybrid Intelligence
Janet Rafner, Miroslav Gajdacz, Gitte Kragh +13
Artificial Intelligence (AI) can augment and sometimes even replace human cognition. Inspired by efforts to value human agency alongside productivity, we discuss the benefits of so…
SciNote: Collaborative Problem Solving and Argumentation Tool
Janet Rafner, Arthur Hjorth, Carrie Weidner +4
As educators push for students to learn science by doing science, there is a need for computational scaffolding to assist students' evaluation of scientific evidence and argument b…
A training programme for early-stage researchers that focuses on developing personal science outreach portfolios
Shaeema Zaman Ahmed, Arthur Hjorth, Janet Frances Rafner +6
Development of outreach skills is critical for researchers when communicating their work to non-expert audiences. However, due to the lack of formal training, researchers are typic…
crea.blender: A Neural Network-Based Image Generation Game to Assess Creativity
Janet Rafner, Arthur Hjorth, Sebastian Risi +9
We present a pilot study on crea.blender, a novel co-creative game designed for large-scale, systematic assessment of distinct constructs of human creativity. Co-creative systems a…