Despite significant historical progress, discrimination and social stigma continue to impact the lives of LGBTQIA+ individuals. The use of AI-generated virtual characters offers a unique opportunity to facilitate advocacy by engaging individuals in ...

High-quality alt text is crucial for making scientific figures accessible to blind and low-vision readers. Crafting complete, accurate alt text is challenging even for domain experts, as published figures often depict complex visual information and ...

Human-centered AI aims to bridge the gap between machine decision-making and human understanding. However, even for classification tasks where deep neural networks have achieved superb performance, there are currently few methods that link humans and AI ...

AI systems have been known to amplify biases in real-world data. Explanations may help human-AI teams address these biases for fairer decision-making. Typically, explanations focus on salient input features. If a model is biased against some protected ...

Natural language and search interfaces intuitively facilitate data exploration and provide visualization responses to diverse analytical queries based on the underlying datasets. However, these interfaces often fail to interpret more complex analytical ...

In settings where users both need high accuracy and are time-pressured, such as doctors working in emergency rooms, we want to provide AI assistance that both increases decision accuracy and reduces decision-making time. Current literature focusses on ...

Users with large domain knowledge can be reluctant to use prediction models. This also applies to the sports domain, where running coaches rarely rely on marathon prediction tools for race-plan advice for their runners’ next marathon. This paper studies ...

While human-centered approaches to machine learning explore various human roles within the interaction loop, the notion of Interactive Machine Teaching (IMT) emerged with a focus on leveraging the teaching skills of humans as a teacher to build machine ...

Manipulative design in user interfaces (conceptualized as dark patterns) has emerged as a significant impediment to the ethical design of technology and a threat to user agency and freedom of choice. While previous research focused on exploring these ...

Research continuously shows that, despite the wide range of skills developed for Intelligent Personal Assistants (IPAs), users tend to engage with only a small number of them. One reason for this discrepancy is the issue of skill discoverability, which ...

Large Language Model (LLM) assistants, such as ChatGPT, have emerged as potential alternatives to search methods for helping users navigate complex, feature-rich software. LLMs use vast training data from domain-specific texts, software manuals, and code ...

Group decision making plays a crucial role in our complex and interconnected world. The rise of AI technologies has the potential to provide data-driven insights to facilitate group decision making, although it is found that groups do not always utilize ...

Although recent developments in generative AI have greatly enhanced the capabilities of conversational agents such as Google’s Bard or OpenAI’s ChatGPT, it’s unclear whether the usage of these agents aids users across various contexts. To better ...

Traditionally, sports commentators provide viewers with diverse information, encompassing in-game developments and player performances. Yet young adult football viewers increasingly use mobile devices for deeper insights during football matches. Such ...

Advances in AI, particularly large language models (LLMs), can transform creative work. When developing a new idea, LLMs can help designers gather information, find competitors, and generate alternatives. However, LLM responses tend to be long-winded or ...

While 33.6% of college students suffer from mental health problems, only 24.6% of these students with symptoms would seek professional help due to their personal attitudes or costs associated with therapy. Psychotherapy chatbots may offer a solution as ...

Community organizations face challenges in harnessing the power of qualitative data analysis, or sensemaking, to understand the diverse perspectives and needs brought up by their constituents. One of the most time-consuming and tedious parts of ...

Display issues, often arising from design inconsistencies or software problems, can have a significant impact on both user experience and system functionality. This study focuses on three primary challenges in the field of display issues: the absence of ...

Adaptive user interfaces (AUIs) can improve user experience by automatically adapting how information and functionality are presented in a user interface. However, the dynamic nature and potentially numerous variations of AUIs make them challenging to ...

The document contains substantial unannotated data, necessitating extensive manual labeling efforts. To address this issue, we introduce PDFChatAnnotator, a human-LLM collaborative tool to collect multi-modal data from PDF catalogs. Initially, ...