Kowe Kadoma

schoolCornell Universitybar_chart#2868 Global Rank

Total Papers

HCI Rank

#2868

Research Areas

Years Active

Recent Publications

Lost in Transcription: Subtitle Errors in Automatic Speech Recognition Reduce Speaker and Content Evaluations

Researchers have demonstrated that Automatic Speech Recognition (ASR) systems perform differently across demographic groups. In this work, we examined how subtitle errors affect evaluations of speakers and their content using a preregistered online experiment (N=207, U.S.-based crowdworkers). Participants watched spea…

CHI '251st AuthorHuman-LLM Collaboration +2

Generative AI and Perceptual Harms: Who’s Suspected of using LLMs?

Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools, they may risk causing a variety of harms, potentially disproportionately burdening historically marginalized group…

CHI '252nd AuthorHonorable MentionVoice User Interface (VUI) Design +2

Why So Serious? Exploring Timely Humorous Comments in AAC Through AI-Powered Interfaces

People with disabilities that affect their speech may use speech-generating devices (SGD), commonly referred to as Augmentative and Alternative Communication (AAC) technology. This technology enables practical conversation; however, delivering expressive and timely comments remains challenging. This paper explores how…

CHI '241st AuthorHuman-LLM Collaboration +2

The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication

Given large language models' (LLMs) increasing integration into workplace software, it is important to examine how biases in the models may impact workers. For example, stylistic biases in the language suggested by LLMs may cause feelings of alienation and result in increased labor for individuals or groups whose styl…

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