The Intersection of Users, Roles, Interactions, and Technologies in Creativity Support Tools

Chung, John Joon Young; He, Shiqing; Adar, Eytan

doi:10.1145/3461778.3462050

Cited by 44 publications

(9 citation statements)

References 129 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This direction fits well to the rise of large language models, which are much more suited to generate longer pieces of text while respecting prior context. Here, we now see systems being conceptualized, presented and/or reflected on as writing assistants, which may provide some degree of inspiration [13,26,71,96,111]. Generative models could also enhance the versatility of interactive storytelling systems as proposed by Swanson and Gordon [98].…”

Section: Interaction With Text-generation Systemsmentioning

confidence: 99%

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

Draxler¹,

Werner²,

Lehmann³

et al. 2023

Preprint

View full text Add to dashboard Cite

Human-AI interaction in text production increases complexity in authorship. In two empirical studies (n1 = 30 & n2 = 96), we investigate authorship and ownership in human-AI collaboration for personalized language generation models. We show an AI Ghostwriter Effect:Users do not consider themselves the owners and authors of AI-generated text but refrain from publicly declaring AI authorship.The degree of personalization did not impact the AI Ghostwriter Effect, and control over the model increased participants' sense of ownership. We also found that the discrepancy between the sense of ownership and the authorship declaration is stronger in interactions with a human ghostwriter and that people use similar rationalizations for authorship in AI ghostwriters and human ghostwriters. We discuss how our findings relate to psychological ownership and human-AI interaction to lay the foundations for adapting authorship frameworks and user interfaces in AI in text-generation tasks.

show abstract

Section: Interaction With Text-generation Systemsmentioning

confidence: 99%

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

Draxler¹,

Werner²,

Lehmann³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The system faithfully reproduced user input by that control, resulting in a final output that closely mirrors the concept in their mind. These generated outputs helped users actualize their existing ideas, more supporting implementation [17,18]. Dynamic Brushes [36] or Framer [51] had a similar approach to creativity in terms of this.…”

Section: Creativeconnect Vs Baseline -Two Different Types Of Creativi...mentioning

confidence: 99%

Regional classification according to PM10 concentrations in the Seoul Metropolitan and Chungcheong Area, Republic of Korea

Ho¹

2023

Preprint

View full text Add to dashboard Cite

Since the Seoul Metropolitan Area, Republic of Korea, is highly populated, a large number of people are frequently exposed to high concentrations of particulate matter (PM) with mean aerodynamic diameters of <= 10 mm (PM10) in cold season. The concentration of PM10 in Seoul Metropolitan Area increases by transboundary transport, local direct emissions, and chemical reactions of aerosol precursors in the atmosphere. Here, the Seoul Metropolitan Area (Seoul, Gyeonggi-do, and Incheon) and surrounding region (Chungcheongnam-do, Daejeon, and Sejong) are regionally classified by clustering analysis based on the variability of PM10 concentrations. According to the inertia score by the number of clusters, the optimum cluster number of regional variability of PM10 is four. The region of cluster 1 is divided into southern Gyeonggi-do and eastern Chungcheongnam-do, the cluster 2 is mainly classified Incheon, western Gyeonggi-do, and Seoul. The cluster 3 region is western Chungcheongnam-do adjacent to Yellow Sea, and the cluster 4 is classified into eastern Gyeonggi-do. The variability of PM10 in each region is distinguished by the local chemical pollutants emission and weather conditions such as wind speed and direction in each region. This regional classification of PM10 variability is different from administrative districts. Considering most of policies for responding to high concentrations of PM10 are being prepared by administrative districts, this study suggests that a response on the basis of these regional PM10 distribution would be more effective way to improve air quality in the Seoul Metropolitan and Chungcheong Area.

show abstract

“…Human-machine co-creation [27,41,61,87] has been explored across many felds in the arts. In [19], 111 papers on creativity support tools (CSTs) are reviewed. We highlight a few areas where CST interaction has been evaluated.…”

Section: Ai Support For Writing and Other Creative Tasksmentioning

confidence: 99%

From Tool to Companion: Storywriters Want AI Writers to Respect Their Personal Values and Writing Strategies

Biermann

Ning

Yoon

2022

Designing Interactive Systems Conference

View full text Add to dashboard Cite

Modern large-scale language models approach the quality of humanlevel writing. This promises the advent of AI writing companions performing AI-led writing under human control, surpassing traditional writing tools limited to revision and ideation supports. However, human-AI co-writing may endanger writers' control, autonomy, and ownership by overstepping co-creative boundaries. Our design workbook study with 7 hobbyists and 13 professional writers elicited three sets of primary barriers to the adoption of human-AI co-writing. Storywriters desire retaining control over writing rather than letting AI take the lead when they (1) prioritize emotional values in turning ideas into words over the productivity of AI-generated writing; (2) have high self-confdence and distrust AI in challenging sub-tasks (e.g., creating characters and dialogue); and (3) expect the AI control mechanism to mismatch their writing strategies. We lay the groundwork for AI companions that respect storywriters' personal values and writing methods. CCS CONCEPTS• Human-centered computing → Empirical studies in interaction design; • Computing methodologies → Natural language generation; • Applied computing → Arts and humanities.

show abstract

The Intersection of Users, Roles, Interactions, and Technologies in Creativity Support Tools

Cited by 44 publications

References 129 publications

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

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

Regional classification according to PM10 concentrations in the Seoul Metropolitan and Chungcheong Area, Republic of Korea

From Tool to Companion: Storywriters Want AI Writers to Respect Their Personal Values and Writing Strategies

Contact Info

Product

Resources

About