activity
20202026
most citedThe Creativity of Text-to-Image Generation

282 citations · 788 across the 25 of their papers we have counts for

collaborators

26 papers

cs.AI2026

PainterBench: A Figural Divergent-Thinking Benchmark for Tool-Using Language Models

Shane K. A. Dalumura Hettige, Jonas Oppenlaender

Figural divergent thinking is the ability to develop a given shape fragment into an original drawing. In humans, this ability is assessed with incomplete-drawing tasks. We introduc…

cs.DL2026

How Ten Publishers Retract Research

Jonas Oppenlaender

Retractions are the primary mechanism for correcting the scholarly record, yet publishers differ markedly in how they use them. We present a bibliometric analysis of 46,087 retract…

cs.HC2026

StatCounter: A Longitudinal Study of a Portable Scholarly Metric Display

Jonas Oppenlaender

This study explores a handheld, battery-operated e-ink device displaying Google Scholar citation statistics. The StatCounter places academic metrics into the flow of daily life rat…

cs.HC2026

Conversational Inoculation to Enhance Resistance to Misinformation

Dániel Szabó, Chi-Lan Yang, Aku Visuri +4

Proliferation of misinformation is a globally acknowledged problem. Cognitive Inoculation helps build resistance to different forms of persuasion, such as misinformation. We invest…

cs.CY2025★ 1 cited

Prompt Engineer: Analyzing Hard and Soft Skill Requirements in the AI Job Market

An Vu, Jonas Oppenlaender

The rise of large language models (LLMs) has created a new job role: the Prompt Engineer. Despite growing interest in this position, we still do not fully understand what skills th…

cs.HC2025★ 2 cited

An Exploration of Default Images in Text-to-Image Generation

Hannu Simonen, Atte Kiviniemi, Hannah Johnston +2

In the creative practice of text-to-image (TTI) generation, images are synthesized from textual prompts. By design, TTI models always yield an output, even if the prompt contains u…

cs.CY2025

Quo Vadis, HCOMP? A Review of 12 Years of Research at the Frontier of Human Computation and Crowdsourcing

Jonas Oppenlaender, Ujwal Gadiraju, Simo Hosio

The field of human computation and crowdsourcing has historically studied how tasks can be outsourced to humans. However, many tasks previously distributed to human crowds can toda…

cs.HC2025★ 1 cited

DangerMaps: Personalized Safety Advice for Travel in Urban Environments using a Retrieval-Augmented Language Model

Jonas Oppenlaender

Planning a trip into a potentially unsafe area is a difficult task. We conducted a formative study on travelers' information needs, finding that most of them turn to search engines…

cs.HC2025★ 7 cited

Keeping Score: A Quantitative Analysis of How the CHI Community Appreciates Its Milestones

Jonas Oppenlaender, Simo Hosio

The ACM CHI Conference has a tradition of citing its intellectual heritage. At the same time, we know CHI is highly diverse and evolving. In this highly dynamic context, it is not…

cs.HC2024★ 2 cited

Artworks Reimagined: Exploring Human-AI Co-Creation through Body Prompting

Jonas Oppenlaender, Hannah Johnston, Johanna Silvennoinen +1

Image generation using generative artificial intelligence has become a popular activity. However, text-to-image generation - where images are produced from typed prompts - can be l…

cs.HC2024★ 10 cited

Past, Present, and Future of Citation Practices in HCI

Jonas Oppenlaender

Science is a complex system comprised of many scientists who individually make decisions that, due to the size and nature of the academic system, largely do not affect the system a…

cs.HC2023★ 1 cited

The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and Guidelines

Jonas Oppenlaender, Tahir Abbas, Ujwal Gadiraju

Pilot studies are an essential cornerstone of the design of crowdsourcing campaigns, yet they are often only mentioned in passing in the scholarly literature. A lack of details sur…

cs.CY2023★ 4 cited

The Cultivated Practices of Text-to-Image Generation

Jonas Oppenlaender

Humankind is entering a novel creative era in which anybody can synthesize digital information using generative artificial intelligence (AI). Text-to-image generation, in particula…

cs.HC2023★ 34 cited

Perceptions and Realities of Text-to-Image Generation

Jonas Oppenlaender, Johanna Silvennoinen, Ville Paananen +1

Generative artificial intelligence (AI) is a widely popular technology that will have a profound impact on society and individuals. Less than a decade ago, it was thought that crea…

cs.HC2023★ 5 cited

Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale

Jonas Oppenlaender, Joonas Hämäläinen

Large language models (LLMs) are increasingly used for analytical tasks, yet their effectiveness in real-world applications remains underexamined, partly due to the opacity of prop…

cs.HC2023★ 15 cited

Text-to-Image Generation: Perceptions and Realities

Jonas Oppenlaender, Aku Visuri, Ville Paananen +2

Generative AI is an emerging technology that will have a profound impact on society and individuals. Only a decade ago, it was thought that creative work would be among the last to…

cs.HC2023★ 136 cited

Using Text-to-Image Generation for Architectural Design Ideation

Ville Paananen, Jonas Oppenlaender, Aku Visuri

The recent progress of text-to-image generation has been recognized in architectural design. Our study is the first to investigate the potential of text-to-image generators in supp…

cs.HC2023★ 34 cited

Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

Jonas Oppenlaender, Rhema Linder, Johanna Silvennoinen

We are witnessing a novel era of creativity where anyone can create digital content via prompt-based learning (known as prompt engineering). This paper investigates prompt engineer…

cs.HC2022★ 282 cited

The Creativity of Text-to-Image Generation

Jonas Oppenlaender

Text-guided synthesis of images has made a giant leap towards becoming a mainstream phenomenon. With text-to-image generation systems, anybody can create digital images and artwork…

cs.MM2022★ 201 cited

A Taxonomy of Prompt Modifiers for Text-To-Image Generation

Jonas Oppenlaender

Text-to-image generation has seen an explosion of interest since 2021. Today, beautiful and intriguing digital images and artworks can be synthesized from textual inputs ("prompts"…

cs.HC2022★ 3 cited

Crowdsourcing Creative Work

Jonas Oppenlaender

This article-based doctoral thesis explores the stakeholder perspectives and experiences of crowdsourced creative work on two of the leading crowdsourcing platforms. The thesis has…

cs.HC2021

Morphological Matrices as a Tool for Crowdsourced Ideation

Jonas Oppenlaender

Designing a novel product is a difficult task not well suited for non-expert crowd workers. In this work-in-progress paper, we first motivate why the design of persuasive products…

cs.HC2021★ 12 cited

Hardhats and Bungaloos: Comparing Crowdsourced Design Feedback with Peer Design Feedback in the Classroom

Jonas Oppenlaender, Elina Kuosmanen, Andrés Lucero +1

Feedback is an important aspect of design education, and crowdsourcing has emerged as a convenient way to obtain feedback at scale. In this paper, we investigate how crowdsourced d…

cs.HC2020★ 1 cited

Supporting Creative Work with Crowd Feedback Systems

Jonas Oppenlaender, Simo Hosio

Crowd feedback systems have the potential to support creative workers with feedback from the crowd. In this position paper for the Workshop on Designing Crowd-powered Creativity Su…