|Editors-in-Chief:||Dennis Galletta, University of Pittsburgh
Paul Benjamin Lowry, The University of Hong Kong
|Past Editors-in-Chief:||Ping Zhang, Syracuse University, USA
Joe Valacich, University of Arizona, 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.
Special Issues:Published: Special Issue on HCI in Health and Wellness (Senior Editors: Vance Wilson and Soussan Djamasbi. Vol. 7, Issue 3)
Published: Special Issue on HCI in the Web 2.0 era (Senior Editors: Ozgur Turetken and Lorne Olfman. Vol. 5, Issue 1)
Published: Special Issue on User Participation/Centeredness in New Challenging IS Contexts (Senior Editors: Netta Iivari, Horst Treiblmaier, and Dennis Galletta. Vol. 4, Issue 2.)
Published: Special Issue in Design Research in HCI (Senior Editors: Alan Hevner and Ping Zhang. Vol. 3, Issue 2.)
Published: Special Section on Future Directions for HCI in MIS (Senior Editors: Dennis Galletta and Ping Zhang. Vol. 2, Issue4.)
Current Issue: Volume 10, Issue 1 (2018)
Antecedents and Consequents of Information Usefulness in User-generated Online Reviews: A Multi-group Moderation Analysis of Review Valence
Contantinos K. Coursaris, Wietske Van Osch, and Alice Albini
Real-time Prediction of User Performance based on Pupillary Assessment via Eye Tracking
Ricardo Buettner, Sebastian Sauer, Christian Maier, and Andreas Eckhardt