Results 71 to 80 of about 2,350 (110)
Advancing Inclusive Design in Multiple Dimensions
, 2023 Making technology design inclusive requires facing multiple challenges in different dimensions: the populations we work with, who we are, what interaction possibilities we consider, and what context we examine.
León, Gabriela Molina
core
Generative Disco: Text-to-Video Generation for Music Visualization
, 2023 Visuals are a core part of our experience of music, owing to the way they can amplify the emotions and messages conveyed through the music. However, creating music visualization is a complex, time-consuming, and resource-intensive process.
Chilton, Lydia +3 more
core
, 2023 Large language models (LLMs), such as ChatGPT and GPT-4, are gaining wide-spread real world use. Yet, the two LLMs are closed source, and little is known about the LLMs' performance in real-world use cases.
Hämäläinen, Joonas +1 more
core
A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration
With ChatGPT's release, conversational prompting has become the most popular form of human-LLM interaction. However, its effectiveness is limited for more complex tasks involving reasoning, creativity, and iteration.
Choo, Kenny Tsu Wei +5 more
core +1 more source
Machine Intelligence, New Interfaces, and the Art of the Soluble [PDF]
, 2017 Position: (1) Partial solutions to machine intelligence can lead to systems which may be useful creating interesting and expressive musical works. (2) An appropriate general goal for this field is augmenting human expression.
Lyons, Michael J.
core
Empirical research methods for human-computer interaction
Most attendees at CHI conferences will agree that an experiment (user study) is the hallmark of good research in human-computer interaction. But what constitutes an experiment? And how does one go from an experiment to a CHI paper? This course will teach
Horton, Matthew +2 more
core +1 more source
Representation Debiasing of Generated Data Involving Domain Experts
Biases in Artificial Intelligence (AI) or Machine Learning (ML) systems due to skewed datasets problematise the application of prediction models in practice. Representation bias is a prevalent form of bias found in the majority of datasets.
Bhattacharya, Aditya +2 more
core +1 more source
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
Integrated Development Environments (IDEs) have become central to modern software development, especially with the integration of Artificial Intelligence (AI) to enhance programming efficiency and decision-making.
Izadi, Maliheh +2 more
core
Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI Tools
This essay proposes and explores the concept of Collage for the design of AI writing tools, transferred from avant-garde literature with four facets: 1) fragmenting text in writing interfaces, 2) juxtaposing voices (content vs command), 3) integrating ...
Buschek, Daniel
core +1 more source
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices
Large language models are increasingly applied in real-world scenarios, including research and education. These models, however, come with well-known ethical issues, which may manifest in unexpected ways in human-computer interaction research due to the ...
Kapania, Shivani +4 more
core