activity
20232026
most citedA Design Space for Intelligent and Interactive Writing Assistants

132 citations · 134 across the 8 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.HC2024

Exploring Crowdworkers' Perceptions, Current Practices, and Desired Practices Regarding Using Non-Workstation Devices for Crowdwork

Senjuti Dutta, Scott Ruoti, Rhema Linder +2

Despite a plethora of research dedicated to designing HITs for non-workstations, there is a lack of research looking specifically into workers' perceptions of the suitability of th…

cs.HC2024

Unveiling the Inter-Related Preferences of Crowdworkers: Implications for Personalized and Flexible Platform Design

Senjuti Dutta, Rhema Linder, Alex C. Williams +2

Crowdsourcing platforms have traditionally been designed with a focus on workstation interfaces, restricting the flexibility that crowdworkers need. Recognizing this limitation and…

cs.LG2024

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation

Katherine M. Collins, Najoung Kim, Yonatan Bitton +15

Human feedback plays a critical role in learning and refining reward models for text-to-image generation, but the optimal form the feedback should take for learning an accurate rew…

cs.HC2024★ 132 cited

A Design Space for Intelligent and Interactive Writing Assistants

Mina Lee, Katy Ilonka Gero, John Joon Young Chung +33

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to addr…

cs.HC2024

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction

Senjuti Dutta, Sherol Chen, Sunny Mak +7

Image generation models are poised to become ubiquitous in a range of applications. These models are often fine-tuned and evaluated using human quality judgments that assume a univ…

cs.CR2024★ 2 cited

Ocassionally Secure: A Comparative Analysis of Code Generation Assistants

Ran Elgedawy, Porter Dosch, John Sadik +8

Large Language Models (LLMs) are being increasingly utilized in various applications, with code generations being a notable example. While previous research has shown that LLMs…