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AIS Transactions on Human-Computer Interaction

Editors

Editor-in-Chief: Fiona Nah, Singapore Management University, Singapore ()
Past Editors-in-Chief: Dennis Galletta, University of Pittsburgh, USA
Paul Benjamin Lowry, Virginia Tech, USA
Joe Valacich, University of Arizona, USA
Ping Zhang, Syracuse University, USA
 

THCI is a high-quality peer-reviewed international scholarly journal on Human-Computer Interaction. It is published by AIS (http://aisnet.org/) and sponsored by AIS SIGHCI (http://sighci.org/). THCI is indexed in Scopus and Clarivate's Web of Science and is ranked in the Q1 quartile in both the SCImago Journal Rank (SJR) by Scopus and Journal Citation Reports (JCR) by Clarivate. As an AIS journal, THCI is oriented to the Information Systems community, emphasizing applications in business, managerial, organizational, and cultural contexts. However, it is open to all related communities that share intellectual interests in HCI phenomena and issues. The editorial objective is to enhance and communicate knowledge about the interplay among humans, information, technologies, and tasks in order to guide the development and use of human-centered Information and Communication Technologies (ICT) and services for individuals, groups, organizations, and communities.

To submit a manuscript, read the "Information for Authors" and "THCI Policy" pages, then go to http://mc.manuscriptcentral.com/thci.


We have two Special Issue Call for Papers (CFPs) - one on "Human-AI Co-Creation of Realistic Media" and the other on "Anthropomorphism in the Age of AI". You can find more information about them below.

CFP #1: THCI Special Issue on "Human-AI Co-Creation of Realistic Media: Risk Mitigation, Opportunity Realization, and Digital Skills for Safe Interaction"

AIS Transactions on Human-Computer Interaction (THCI) invites submissions for a special issue examining the risks, opportunities, and digital competencies associated with human-AI co-creation of increasingly realistic media.

The newest generation of generative AI can produce text, speech, images, video, and immersive three-dimensional environments that are increasingly difficult to distinguish from human-created content. These capabilities create significant risks, including deepfakes, synthetic audio, fabricated information, impersonation, misinformation, privacy concerns, and manipulation. At the same time, generative AI offers substantial opportunities for collaborative creation, education, training, simulation, brainstorming, visualization, and other forms of human-AI interaction.

This special issue seeks research that examines both sides of this rapidly evolving landscape: how the risks associated with realistic AI-generated media can be identified and mitigated, and how human-AI collaboration can harness these capabilities in trustworthy, ethical, and socially beneficial ways. Particular attention is given to the digital skills and competencies users need to recognize synthetic content, critically evaluate information, maintain appropriate control over AI systems, and participate safely and effectively in human-AI co-creation.

Topics of Interest

Topics of particular interest include, but are not limited to:

  • Deepfakes, their impacts and risks, and mechanisms for protecting users
  • Interface-level cues that identify media or content generated by AI
  • Recognition of AI-generated misinformation across different user groups, including older adults, non-technical professionals, and audiences in low-resource settings
  • Digital-literacy interventions and competency-building frameworks for source evaluation, synthetic-content detection, and ethical judgment
  • Digital literacy and open-source intelligence approaches for assessing AI-generated text, images, and video
  • Compassionate and affective AI agents that model empathy, cultural sensitivity, and ethical restraint while maintaining human oversight
  • Human-AI collaborative brainstorming, content creation, visualization, and other forms of co-creation that preserve human agency
  • Future skills and competencies for human-AI and human-machine interaction
  • Challenges and risks associated with human-AI-generated interactions
  • Privacy and protection of user data in human-AI interaction
  • AI technologies in virtual and augmented reality environments
  • AI-generated avatars, including their potential benefits and associated risks
  • Political and societal challenges associated with AI-generated content

The special issue welcomes empirical, theoretical, design-science, and methodological contributions that illuminate the risks of increasingly realistic generative AI, investigate approaches for mitigating those risks, explore responsible and beneficial forms of human-AI collaboration, and advance understanding of the skills and competencies needed for future human-technology interaction.

Important Dates

  • Initial submission deadline: February 28, 2027
  • First decision: April 23, 2027
  • Revision due: July 23, 2027
  • Final decision: Beginning of September 2027
  • Publication: January 2028

Full Call for Papers

For the complete special issue description, scope and topics, submission guidelines, and additional information for prospective authors, please see the full Call for Papers.

Special Issue Editors

  • Sofia Schöbel, Osnabrück University
  • Martin Semmann, University of Hamburg
  • Fiona Nah, Singapore Management University
  • Triparna de Vreede, University of South Florida

CFP #2: THCI Special Issue on "Anthropomorphism in the Age of AI: When, What, Why and How?"

AIS Transactions on Human-Computer Interaction (THCI) invites submissions for a special issue examining anthropomorphism in contemporary human-AI interaction.

As generative AI, conversational agents, social robots, virtual humans, intelligent assistants, algorithmic advisors, and other AI-enabled systems become increasingly conversational, adaptive, relational, and humanlike, new questions arise about how people perceive, interpret, interact with, and respond to these technologies.

This special issue seeks to move research beyond documenting the effects of isolated humanlike cues toward understanding anthropomorphism as a multidimensional, dynamic, and context-dependent phenomenon. We invite research examining how anthropomorphic design cues are incorporated into AI systems, how users perceive those cues and attribute humanlike qualities to AI, and how these perceptions and attributions shape user experience, cognition, affect, trust, behavior, and relationships.

Topics of Interest

Topics of particular interest include, but are not limited to:

  • Conceptualization and measurement of anthropomorphism in contemporary AI and human-AI interaction
  • Anthropomorphic cues and configurations, including verbal, visual, vocal, behavioral, emotional, embodied, identity-based, and relational cues
  • Psychological, affective, social, and relational mechanisms underlying responses to anthropomorphic AI
  • Trust calibration, reliance, decision quality, and human-AI collaboration
  • Capability alignment, expectation violations, system failures, and adverse or uncanny responses
  • Dynamic and longitudinal development of anthropomorphic perceptions and human-AI relationships
  • Transparency, AI identity disclosure, ethics, manipulation, privacy, dependency, and other dark-side consequences
  • Responsible anthropomorphic AI design across users, tasks, cultures, and contexts
  • Anthropomorphic AI in organizational and societal settings
  • The appropriateness and limits of anthropomorphism as a concept, theoretical lens, and AI design strategy

The special issue welcomes diverse theoretical and methodological approaches, including experiments, surveys, field studies, qualitative research, design science research, computational methods, longitudinal designs, mixed methods, theory development, critical reviews, and opinions.

Important Dates

  • Submission deadline: February 1, 2027
  • First-round decision: April 15, 2027
  • First-round revision due: July 15, 2027
  • Second-round decision: September 15, 2027
  • Second-round revision due: November 1, 2027
  • Final decision: December 1, 2027
  • Tentative publication date: April 2028

Full Call for Papers

For the complete special issue description, scope and topics, submission guidelines, and additional information for prospective authors, please see the full Call for Papers.

Special Issue Editors

  • Yi Maggie Guo, University of Michigan–Dearborn
  • Yixiu Ashley Yu, Central Michigan University

Published Special Issues:

Published Special Section:

Current Issue: Volume 18, Issue 3 (2026)

Articles

PDF

Designing Ethical Generative AI: A Framework for Interactional Integrity
Kaveh Abhari, Monjima Lahiri, and Sumanth Paila

PDF

(Un)Cooperative Robots: From Compliance AI to Principled Uncooperative AI
Connor T. Esterwood, Sangseok You, Filippo Sanfilippo, and Lionel P. Robert Jr.