Call for paper: AI Anthropomorphism in Information Systems

AI Anthropomorphism in Information Systems

AI Anthropomorphism, the human-like representation or perception of AI agents, has emerged as a critical area of research, transforming user interactions within AI-reliant information systems. The perception of human-like characteristics or agency in AI tools presents challenges and opportunities for adoption, trust, ethical considerations, change management and systems design choices across diverse domains. The Special Issue seeks critical and impactful interdisciplinary research papers exploring the behavioral, societal, and design implications of AI anthropomorphism.

By balancing theoretical insights, design science work and empirical evidence, this issue will be accessible to a broad audience in the Information Science and Information Systems domains. It aims to promote empirical studies, conceptual frameworks and other design propositions, qualitative research, and literature reviews on research questions pertaining to human-AI interaction experience, trust, perception and integration of anthropomorphic AI in work systems and organizations.

The Special Issue will offer actionable insights for both researchers and practitioners, to enhance – on one side, design decisions for AI systems supporting information management and decision-making and, on the other side, the adoption and acceptance of AI, on individual level or as enabler for hybrid intelligence work systems.

List of Topic Areas:

The Impact of AI Anthropomorphism on Trust and User Intention
AI Anthropomorphism and Ethical Design: Risks and Boundaries
Personalization and Adaptability of User Experience through AI Anthropomorphism
The Relationship between Anthropomorphism and Perceived Intelligence or Competence of AI
Social Robots and User Experience in Physical and Virtual Spaces
The Influence of AI Anthropomorphism on User Decisions and Judgments in Digital Environments
Anthropomorphism and User Experience in Multimodal Human-AI Interactions
The Influence of User Perceptions of AI Anthropomorphism on Behaviour
Towards a Multi-Dimensional Conceptualization of AI Anthropomorphism
Best Practices and Design Decisions for Incorporating Anthropomorphic Features in AI-reliant Information Systems

Guest Editors:

Robert-Andrei BUCHMANN
Department of Business Information Systems, Faculty of Economics and Business Administration
Babeş-Bolyai University, Romania
E-mail: robert.buchmann@ubbcluj.ro

Raluca BUNDUCHI
University of Edinburgh Business School
The University of Edinburgh, Scotland, UK,
E-mail: Raluca.Bunduchi@ed.ac.uk

Dan-Andrei SITAR-TĂUT
Department of Business Information Systems
Faculty of Economics and Business Administration
Babeş-Bolyai University, Romania
E-mail: dan.sitar@econ.ubbcluj.ro

Darie Vasile Moldovan
Department of Business Information Systems
Faculty of Economics and Business Administration
Babeş-Bolyai University, Romania
E-mail: darie.moldovan@econ.ubbcluj.ro

Submissions Information

Submissions are made using ScholarOne Manuscripts. Registration and access are available on the OIR ScholarOne Page.

Author guidelines must be strictly followed. Please see the OIR webpage for author guidance. Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to ““Please select the issue you are submitting to”. Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.