dong, lv sun, rui zhu, qiuhua zuo, jiajia qin, shukun cheng, yue
Background: With the rapid expansion of the generative AI market, conducting in-depth research on cognitive conflicts in human–computer interaction is crucial for optimizing user experience and improving the quality of interactions with AI systems. However, existing studies insufficiently explore the role of user cognitive conflicts and the explana...
Brauner, Philipp
Published in
Frontiers in Psychology
Understanding public perception of technology is crucial to aligning research, development, and governance of technology. This article introduces micro scenarios as an integrative method to evaluate mental models and social acceptance across numerous technologies and concepts using a few single-item scales within a single comprehensive survey. This...
Gros, Hippolyte Thibaut, Jean-Pierre Raynal, Lucas Sander, Emmanuel
What can false memories tell us about the structure of mental representations of arithmetic word problems?The semantic congruence model describes the central role of world semantics in the encoding, recoding, andsolving of these problems. We propose to use memory tasks to evaluate key predictions of the semanticcongruence model regarding the repres...
Steyvers, Mark Kumar, Aakriti
Artificial intelligence (AI) has the potential to improve human decision-making by providing decision recommendations and problem-relevant information to assist human decision-makers. However, the full realization of the potential of human-AI collaboration continues to face several challenges. First, the conditions that support complementarity (i.e...
dong, lv sun, rui zhu, qiuhua zuo, jiajia qin, shukun
With the development of large language model technologies, the capability of social robots to interact emotionally with users has been steadily increasing. However, the existing research insufficiently examines the influence of robot stance attribution design cues on the construction of users’ mental models and their effects on human–robot interact...
kong, lingda sun, yanting jiang, xiaoming
Previous theories have established the mental model activation of processing different types of conditionals, stating that counterfactual conditionals expressing events that contradict known facts (e.g., “If it had rained, then they would not go to the park.”) are considered to trigger two mental models: (1) a hypothetical but factually wrong model...
Singer, Jeremiah Tefft, Brian C Benson, Aaron Jenness, James W Horrey, William J
Published in
Human factors
The current study examined whether differences in the branding and description or mode of training materials influence drivers' understanding and expectations of a partial driving automation system. How technology is described might influence consumers' understanding and expectations, even if all information is accurate. Ninety drivers received tra...
Doyle, Emma E. H. Thompson, Jessica Hill, Stephen R. Williams, Matt Paton, Douglas Harrison, Sara E. Bostrom, Ann Becker, Julia S.
Published in
Frontiers in Communication
Introduction We conducted mental model interviews in Aotearoa NZ to understand perspectives of uncertainty associated with natural hazards science. Such science contains many layers of interacting uncertainties, and varied understandings about what these are and where they come from creates communication challenges, impacting the trust in, and use ...
Janzik, Robin Koch, Severine Zamariola, Giorgia Vrbos, Domagoj White, Mathew P Pahl, Sabine Berger, Natalie
Published in
Risk analysis : an official publication of the Society for Risk Analysis
Microplastics are receiving growing attention in the public debate, while the scientific assessment of risks of microplastics to ecological and human health is still ongoing. Previous studies suggest concerns among the general public with country-specific differences. However, little is known about the reasoning underlying these concerns. By conduc...
markovits, henry
There is little consensus about the underlying parameters of human reasoning. Two major theories have been proposed that suppose very different mechanisms. The mental model theory proposes that people use working memory intensive processes in order to construct limited models of problem parameters. Probabilistic theories propose that reasoning is a...
