AIS Transactions on Human-Computer Interaction

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/). 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.

CFP Special Issue: Fostering a Synergic and Resilient Human-AI Ecosystem

Full CFP available here

Submission Deadline: Full papers due August 30, 2025

Artificial intelligence (AI) and humans are increasingly intertwined, forming a complex and dynamic ecosystem. This emergent ecosystem is reshaping today’s society in a profound way, ranging from everyday tasks to the grand challenges of scientific discovery. The evolving relationship between AI and humans is partly driven by significant advancements in the technology field, including recent developments in autonomous AI agents (He et al., 2024), reasoning-driven models (Guo et al., 2024), and multi-modal interactions (Schuir et al., 2022). They are designed to complement human abilities, augment human decision-making, and enhance productivity by learning from vast amounts of data and advancing models and algorithms in terms of both effectiveness and efficiency (Zhou et al., 2023). Moreover, human guidance or governance structures remain essential in not only advancing and shaping AI development but also ensuring its alignment with societal values (Shneiderman, 2021). In addition, it is important to understand the interactions between human creativity and machine-driven guidance (Dhillon et al., 2024). While the human-AI ecosystem offers immense potential, it also presents ethical and societal challenges (Nah et al., 2023) and can lead to negative consequences (Sharma et al., 2024). Therefore, it is crucial to foster a synergic and resilient human-AI ecosystem.
A synergic human-AI ecosystem is an integrated socio‐technical system where human users and AI entities interact to achieve human goals in a way that the outcomes are superior to what either could achieve alone (Zhou et al., 2021). In other words, synergies refer to the mutually reinforcing relationship, resulting in enhanced decision-making, innovation, and problem solving. For example, AI is working with humans as a co-worker rather than just being a tool (You and Robert, 2024). Large language models (LLMs) are evolving from passive assistants to autonomous agents capable of executing complex, multi-step tasks, adapting dynamically to human and organizational contexts, and orchestrating workflows across diverse domains (Tao et al., 2024). Agentic AI systems and reasoning models are redefining the ways in which humans and AI interact in the ecosystem (Jeyakumar et al., 2024). Balancing intelligent and autonomous agents with human control (Shneiderman, 2021) fosters the design of effective human-AI ecosystem. Multi-modal AI enables more intuitive and context-aware human-AI interaction by integrating text, audio, image, and video information (Schuir et al., 2022). In an increasingly complex and dynamic human-AI ecosystem, resilience is essential to adapt, learn, and recover from adverse conditions or disruptions. For example, resilience can be enhanced by incorporating robust feedback loops, chain-of-thoughts, explainability, redundancy, and continuous improvement mechanisms (Rane et al., 2024).
This special issue aims to feature contributions that advance synergetic and resilient human-AI ecosystems. We welcome technical discussions and research contributions on the design, development, and socio-technical implications of human-AI partnerships, focusing on achieving synergy, resilience, and ethical considerations within the information systems (IS) context.
This theme of the special issue is particularly novel and contributes to AIS Transactions on Human-Computer Interaction (THCI) readership and broader HCI field because it directly addresses the intersection of advanced AI technologies and the human-centered design principles central to IS research. It will provide valuable insights for IS researchers and practitioners grappling with the integration of AI into organizational workflows, collaborative systems, and human-computer interfaces within complex socio-technical environments.
Topics of interest include, but are not limited to: