Generative AI (GenAI) systems offer unprecedented opportunities for transforming professional and personal work, yet present challenges around prompting, evaluating and relying on outputs, and optimizing workflows. We argue that metacognition—the ...

Subscribing to online services is typically a straightforward process, but cancelling them can be arduous and confusing — causing many to resign and continue paying for services they no longer use. Making the cancellation process intentionally difficult ...

Public sector agencies are rapidly deploying AI systems to augment or automate critical decisions in real-world contexts like child welfare, criminal justice, and public health. A growing body of work documents how these AI systems often fail to improve ...

Social play supports children to develop essential life skills and foster friendships. However, autistic and non-autistic children often do not have equal opportunities to engage in social play. Previous research to improve these opportunities tends to ...

Exploring how robots impact human cognition and emotions has become increasingly important as robots gradually become ubiquitous in our lives. In this study, we investigate the impact of robotic presence on human cognition and emotion by examining ...

Wearable technology for physical activity promotion is a frequent research topic within HCI and health, and researchers have documented that much of our knowledge is sourced from understanding the needs of populations from college educated, racially ...

Attracting new members is vital to the health of many online communities. Yet, prior qualitative work suggests that newcomers to online communities can be disruptive – either due to a lack of awareness around existing community norms or to differing ...

Financial trading has become commonplace, involving the purchase and sale of securities such as stocks and bonds. While HCI research has investigated people’s financial literacy and decision-making and how to design for it, little is known as to how ...

Personal informatics (PI) systems are widely used in various domains such as mental health to provide insights from self-tracking data for behavior change. Users are highly interested in examining relationships from the self-tracking data, but ...

Novice students in law courses or students who encounter legal education face the challenge of acquiring specialized and highly concept-oriented knowledge. Structured and persuasive writing combined with the necessary domain knowledge is challenging for ...

Research into recidivism risk prediction in the criminal justice system has garnered significant attention from HCI, critical algorithm studies, and the emerging field of human-AI decision-making. This study focuses on algorithmic crime mapping, a ...

People with disabilities experience high levels of social discrimination worldwide. But, these harms are more pronounced in the Global South due to the intense stigma around disability and its intersections with structural embeddings of patriarchy. The ...

Researchers are increasingly facilitating qualitative research studies online. While this has made research more accessible for participation, there have been notable encounters with “fraudulent” participants. By fraudulent, we refer to individuals who ...

HCI research applies ethnographic methods to understand and represent practices that involve the use of interactive systems. A subdomain of this work is interpretivist ethnography, which positions the researcher's perspectival view [37] as central to ...

Several large financial trading platforms have recently begun implementing “copy trading,” a process by which a leader allows copiers to automatically mirror their trades in exchange for a share of the profits realized. While it has been shown in many ...

How do individual differences in personal morality affect perceptions and judgments of morally contentious behaviours from AI systems? By applying Moral Foundations Theory (MFT) to the context of AI, this study sought to develop a predictive Bayesian ...

Human participants play a central role in the development of modern artificial intelligence (AI) technology, in psychological science, and in user research. Recent advances in generative AI have attracted growing interest to the possibility of replacing ...

Generative AI is expected to have transformative effects in multiple knowledge industries. To better understand how knowledge workers expect generative AI may affect their industries in the future, we conducted participatory research workshops for seven ...

Consumers increasingly interact with workers through technology-mediated marketplaces (TMMs)—environments where third-party companies manage interactions, control information, and constrain behavioral choices. We argue that opacity in how TMMs operate ...

Moderation systems of online games often follow a retributive model inspired by real-world criminal justice, expecting that punishments can help users to reform behavior. However, decades of criminological research show that punishments alone do not work ...