activity
20172024
most citedThe Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers

106 citations · 314 across the 13 of their papers we have counts for

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15 papers · 1 filter

cs.HC20226 cited

SummaryLens -- A Smartphone App for Exploring Interactive Use of Automated Text Summarization in Everyday Life

Karim Benharrak, Florian Lehmann, Hai Dang +1

We present SummaryLens, a concept and prototype for a mobile tool that leverages automated text summarization to enable users to quickly scan and summarize physical text documents.…

cs.HC202239 cited

GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information

Hai Dang, Lukas Mecke, Daniel Buschek

We investigate how multiple sliders with and without feedforward visualizations influence users' control of generative models. In an online study (N=138), we collected a dataset of…

cs.HC202217 cited

Examining Autocompletion as a Basic Concept for Interaction with Generative AI

Florian Lehmann, Daniel Buschek

Autocompletion is an approach that extends and continues partial user input. We propose to interpret autocompletion as a basic interaction concept in human-AI interaction. We first…

cs.HC20214 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.HC202142 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.HC202118 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…