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20172025
most citedCo-Writing with Opinionated Language Models Affects Users' Views

241 citations · 1.3k across the 29 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.HC2021★ 4 cited

Comparing Concepts for Embedding Second-Language Vocabulary Acquisition into Everyday Smartphone Interactions

Christina Schneegass, Sophia Sigethy, Malin Eiband +1

We present a three-week within-subject field study comparing three mobile language learning (MLL) applications with varying levels of integration into everyday smartphone interacti…

cs.HC2021★ 42 cited

CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot

Oliver Schmitt, Daniel Buschek

We present CharacterChat, a concept and chatbot to support writers in creating fictional characters. Concretely, writers progressively turn the bot into their imagined character th…

cs.HC2021★ 18 cited

Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems

Daniel Buschek, Lukas Mecke, Florian Lehmann +1

This position paper examines potential pitfalls on the way towards achieving human-AI co-creation with generative models in a way that is beneficial to the users' interests. In par…

cs.HC2021

Modeling Web Browsing Behavior across Tabs and Websites with Tracking and Prediction on the Client Side

Changkun Ou, Daniel Buschek, Malin Eiband +1

Clickstreams on individual websites have been studied for decades to gain insights into user interests and to improve website experiences. This paper proposes and examines a novel…

cs.HC2021★ 7 cited

GestureMap: Supporting Visual Analytics and Quantitative Analysis of Motion Elicitation Data by Learning 2D Embeddings

Hai Dang, Daniel Buschek

This paper presents GestureMap, a visual analytics tool for gesture elicitation which directly visualises the space of gestures. Concretely, a Variational Autoencoder embeds gestur…

cs.CL2021

Methods for the Design and Evaluation of HCI+NLP Systems

Hendrik Heuer, Daniel Buschek

HCI and NLP traditionally focus on different evaluation methods. While HCI involves a small number of people directly and deeply, NLP traditionally relies on standardized benchmark…