This study investigates how anticipating an artificial intelligence agent versus human
information source moderates the risk information seeking and processing model. It focuses …

This study explored the factors influencing the US public's intent to seek risk information via
AI-powered channels, such as ChatGPT. It focused on cognitive and affective pathways that …

We employed the risk information seeking and processing (RISP) model to identify socio-
cognitive factors motivating hunters' information seeking, sharing, and discussion of the risks …

Artificial intelligence (AI), a branch of computer science based upon algorithms that can
analyze data and make decisions autonomously, is becoming increasingly prevalent in the …

Most prior research characterizes information-seeking behaviors as serving utilitarian
purposes, such as whether the obtained information can help solve practical problems …

Across four studies I tested why people are averse to relying on algorithmic judgments in
person judgment tasks (eg, student admissions), and examined how such aversions can be …

Existing studies have presented the relationships between task characteristics and
individuals» information seeking and searching behaviors. Some task characteristics are …

The opportunity to learn new knowledge is ever present. How do people decide if
information has sufficient value to counteract the cost of obtaining it? We proposed a …

Every day, people are exposed to vast amounts of information that can impact how they feel,
think about, and act upon the world. Here, we extend the computational reinforcement …

Searching for and accessing online information through search engines causes digital
media users to become overconfident in their own knowledge—in a sense, to attribute …