31 citations · 36 across the 7 of their papers we have counts for
7 papers
Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship
Patrick Yung Kang Lee, Jessica Y. Bo, Zixin Zhao +6
Individuals are turning to increasingly anthropomorphic, general-purpose chatbots for AI companionship, rather than roleplay-specific platforms. However, not much is known about ho…
A Matter of Perspective(s): Contrasting Human and LLM Argumentation in Subjective Decision-Making on Subtle Sexism
Paula Akemi Aoyagui, Kelsey Stemmler, Sharon Ferguson +2
In subjective decision-making, where decisions are based on contextual interpretation, Large Language Models (LLMs) can be integrated to present users with additional rationales to…
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…
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…
Exploring Subjectivity for more Human-Centric Assessment of Social Biases in Large Language Models
Paula Akemi Aoyagui, Sharon Ferguson, Anastasia Kuzminykh
An essential aspect of evaluating Large Language Models (LLMs) is identifying potential biases. This is especially relevant considering the substantial evidence that LLMs can repli…
Just Like Me: The Role of Opinions and Personal Experiences in The Perception of Explanations in Subjective Decision-Making
Sharon Ferguson, Paula Akemi Aoyagui, Young-Ho Kim +1
As large language models (LLMs) advance to produce human-like arguments in some contexts, the number of settings applicable for human-AI collaboration broadens. Specifically, we fo…