Florian Lehmann

About Florian Lehmann

Florian Lehmann, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Universität Bayreuth, specializes in the field of HCI, AI, Computational Interaction, Machine Learning, Writing with AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Writer-Defined AI Personas for On-Demand Feedback Generation

Typing Behavior is About More than Speed: Users' Strategies for Choosing Word Suggestions Despite Slower Typing Rates

Choice over control: How users write with large language models using diegetic and non-diegetic prompting

Mixed-Initiative Interaction with Computational Generative Systems

The AI Ghostwriter Effect: Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors

Suggestion Lists vs. Continuous Generation: Interaction Design for Writing with Generative Models on Mobile Devices Affect Text Length, Wording and Perceived Authorship

How to Prompt? Opportunities and Challenges of Zero-and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries

Florian Lehmann Information

University

Position

___

Citations(all)

211

Citations(since 2020)

210

Cited By

34

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Florian Lehmann Skills & Research Interests

HCI

AI

Computational Interaction

Machine Learning

Writing with AI

Top articles of Florian Lehmann

Writer-Defined AI Personas for On-Demand Feedback Generation

arXiv preprint arXiv:2309.10433

2023/9/19

Typing Behavior is About More than Speed: Users' Strategies for Choosing Word Suggestions Despite Slower Typing Rates

Proceedings of the ACM on Human-Computer Interaction

2023/9/12

Choice over control: How users write with large language models using diegetic and non-diegetic prompting

2023/4/19

Mixed-Initiative Interaction with Computational Generative Systems

2023/4/19

Florian Lehmann
Florian Lehmann

H-Index: 2

The AI Ghostwriter Effect: Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors

arXiv preprint arXiv:2303.03283

2023/3/6

Suggestion Lists vs. Continuous Generation: Interaction Design for Writing with Generative Models on Mobile Devices Affect Text Length, Wording and Perceived Authorship

2022/9/4

How to Prompt? Opportunities and Challenges of Zero-and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

2022/9/3

Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries

arXiv preprint arXiv:2208.09323

2022/8/19

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

2022/3/22

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

arXiv preprint arXiv:2104.00358

2021/4/1

Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life

2020/4/21

Florian Lehmann
Florian Lehmann

H-Index: 2

Daniel Buschek
Daniel Buschek

H-Index: 19

Examining Autocompletion as a Basic Concept for Interaction with Generative AI

i-com

2020

Florian Lehmann
Florian Lehmann

H-Index: 2

Daniel Buschek
Daniel Buschek

H-Index: 19

Autocompletion as a Basic Interaction Concept for User-Centered AI

Mensch und Computer 2020-Workshopband

2020

Florian Lehmann
Florian Lehmann

H-Index: 2

Daniel Buschek
Daniel Buschek

H-Index: 19

See List of Professors in Florian Lehmann University(Universität Bayreuth)