Related Experiment Video
Updated: Jan 10, 2026
14:05
One Dimensional Turing-Like Handshake Test for Motor Intelligence
Published on: December 15, 2010
28.4K
Modelling the quantum-like dynamics of human reliability ratings in human-AI interactions by interaction-dependent
Johan van der Meer1, Pamela Hoyte1, Luisa Roeder1
1School of Information Systems, Queensland University of Technology, Brisbane, Queensland, Australia.
Summary
Quantum random walk models can capture the dynamic nature of trust in human-AI interactions. By adjusting quantum features with empirical data, these models effectively simulate trust fluctuations during shared decision-making under uncertainty.
Area of Science:
- Artificial Intelligence
- Quantum Physics
- Decision Making
Background:
- Human-AI collaboration is increasing, especially in high-risk scenarios.
- Trust is crucial for effective human-AI decision-making.
- Existing models struggle to represent the complex fluctuations in human trust.
Purpose of the Study:
- To investigate quantum random walk (QRW) models for simulating trust dynamics in human-AI interactions.
- To adapt QRW models to reflect empirically observed trust fluctuations.
- To explore how interaction features influence trust evolution modeling.
Main Methods:
- Utilized quantum random walk (QRW) models.
- Manipulated QRW features (e.g., Hamiltonians) based on empirical trust data.
- Focused on modeling the sensitivity and agility of trust judgments.
Main Results:
- QRW models demonstrate an ability to capture the dynamic and fluctuating nature of trust.
- Empirically informed parameter adjustments significantly influenced the modeled trust dynamics.
- The approach shows promise for representing trust evolution in human-AI systems.
Conclusions:
- Quantum random walk models offer a novel and effective framework for understanding trust in human-AI interactions.
- Integrating empirical parameters into QRW models enhances their capacity to simulate real-world trust fluctuations.
- This research provides a pathway for more accurate modeling of trust in AI-driven decision-making environments.
Related Concept Videos
02:16Stereotype Content Model
15.3K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.3K
01:23Actor-Observer Effect
303
The actor-observer effect, a cognitive bias closely linked to the fundamental attribution error, refers to the tendency for individuals to attribute their behavior to external, situational factors while explaining others’ behavior in terms of internal, dispositional traits. This asymmetry in attribution significantly influences social perception and judgment.Cognitive Mechanisms Behind the EffectTwo primary psychological mechanisms contribute to the actor-observer effect: differences in...
303
01:27Halo Effect
370
The halo effect is a cognitive bias in which an individual's overall impression influences judgments about their specific traits. This psychological phenomenon leads people to associate positive characteristics with those they perceive as generally good and negative characteristics with those they view as bad. This effect is particularly influential in social perception, professional evaluations, and decision-making processes.The Psychological Basis of the Halo EffectThe halo effect is rooted...
370
01:21Mechanistic Models: Overview of Compartment Models
334
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
334
02:45The Quantum-Mechanical Model of an Atom
56.4K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
56.4K
01:12Modeling and Similitude
582
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
582