Human Behavior in the Age of Agentic AI: Trust, Adoption and Interaction Dynamics

A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Behavioral Economics".

Deadline for manuscript submissions: 12 March 2027 | Viewed by 443

Editors

The James F. Dicke College of Business Administration, Ohio Northern University, Ada, OH 45810, USA
Interests: e-commerce; social media; consumer behavior; service operations; sustainable operations; supply chain management
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Guest Editor
The Department of Information, Operations, and Technology Management, University of Toledo, Toledo, OH 43606-3390, USA
Interests: novel applications of text mining techniques; operational analytics; e-commerce and electronic word of mouth and the evolution of business analytics
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Guest Editor
School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: online consumer behavior; behavioral financial science; Internet financial; digital commerce and business intelligence; human-AI interaction behavior
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Special Issue Information

Dear Colleagues,

The rapid advancement of agentic artificial intelligence (AI)—autonomous systems capable of perceiving, reasoning and acting on behalf of users—has fundamentally transformed human–technology interactions. Unlike traditional AI systems that operate as passive tools, agentic AI proactively initiates actions, makes decisions and executes tasks with varying degrees of autonomy. This paradigm shift raises critical questions about how humans perceive, trust, adopt and interact with AI agents across diverse contexts.

This Special Issue seeks to advance theoretical and empirical understanding of human behavior in response to agentic AI systems. We invite contributions that examine the psychological, cognitive, social and behavioral dimensions of human–AI agent interactions. Topics of interest include, but are not limited to, trust formation and calibration, acceptance and resistance patterns, decision delegation behaviors, emotional and affective responses, ethical considerations and the broader societal implications of delegating agency to artificial entities.

By synthesizing insights from behavioral economics, psychology, human–computer interactions and related disciplines, this Special Issue aims to establish a comprehensive framework for understanding the evolving relationship between humans and agentic AI, ultimately informing the design of more effective, ethical and human-centered AI systems.

This Special Issue welcomes original research articles, reviews and conceptual papers addressing the following themes:

Theme 1: Trust and Acceptance of Agentic AI

Psychological mechanisms underlying trust formation in AI agents

Factors influencing user acceptance and resistance to AI autonomy

The role of transparency, explainability and control in trust calibration

Cultural and individual differences in AI trust

Theme 2: Behavioral Responses to AI Agency

Decision delegation patterns and user reliance behaviors

Emotional and affective responses to autonomous AI actions

Cognitive biases in human–AI agent interactions

Behavioral economics perspectives on AI-mediated choices

Theme 3: Social and Organizational Dynamics

Team collaboration between humans and AI agents

Organizational adoption and implementation challenges

Social influence and normative effects of AI agents

Human–agent collaboration in professional contexts

Theme 4: Ethical and Societal Implications

Perceptions of responsibility and accountability in AI-driven decisions

Privacy concerns and behavioral responses to AI surveillance

Equity and fairness considerations in AI agent deployment

Long-term behavioral adaptation to AI-mediated environments

Theme 5: Domain-Specific Applications

Healthcare: Patient and provider interactions with AI diagnostic agents

Finance: Investor behavior and AI-driven financial advisory

Energy: Consumer responses to smart grid and AI-managed energy systems

E-commerce: Consumer behavior in AI-agent-mediated transactions

Education: Student and teacher interactions with AI tutoring agents

Dr. Chao Wen
Dr. Benjamin George
Prof. Dr. Jiaming Fang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Behavioral Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Agentic AI
  • Human–AI interaction
  • Trust in AI
  • AI adoption behavior
  • Autonomous systems
  • Behavioral economics
  • User acceptance
  • AI ethics

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Published Papers

This special issue is now open for submission.
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