An open access, interdisciplinary journal from the American Psychological Association (APA) that publishes on human–technology interaction.
Technology, Mind, and Behavior (TMB) is an open access, interdisciplinary, peer-reviewed journal published by the American Psychological Association. TMB publishes original work in the area of human–technology interaction with a focus on human behavior at the individual or group level.
Committed to open science and transparency, Technology, Mind, and Behavior is part of APA Open: a new, interactive open access platform. Authors are empowered to dynamically present their research findings to immerse readers in ways going beyond standard PDF experiences.
For more information read Welcome to Technology, Mind, and Behavior, by Dr. Danielle McNamara.
Technology, Mind, and Behavior is an interdisciplinary, peer-reviewed journal that publishes original work in the area of human–technology interaction with a focus on human behavior at the individual or group level. The Journal showcases empirical basic and applied research on the psychology and dynamics of the interaction between humans and technology. Meta-analyses and literature reviews that summarize the current state of science on a relevant topic are also welcomed.
Research featured in Technology, Mind, and Behavior addresses the full range of contemporary and emerging technologies. These include but are not limited to artificial intelligence, robotics, mobile devices, social media, virtual/augmented reality, natural language processing, gaming, geographic information systems, autonomous vehicles, nanotechnology, and biomedical technologies (e.g., brain–machine interfaces, genetic engineering).
The Journal covers these areas:
Basic research: How humans understand and use technology, impacts of technology on human experience and behavior, human–technology interactions as mutually adaptive systems, roles of technology in advancing other areas of scientific research, and related topics.
Applications: Development, use, and impact of technologies in domains such as aging, education, mental and physical health, recreation, and the workplace.
Broader implications: Evidence-based analyses of ethical, legal, social, and policy questions concerning the opportunities and challenges arising from human–technology interactions.
In addition to full-length research papers reporting novel findings, the journal publishes registered reports, null results, replications, commentaries and reviews. Preregistration of replication studies is strongly recommended, but not required. Major criteria for publication of replication papers include:
theoretical significance of the finding being replicated;
statistical power of the study that is carried out;
the number and power of previous replications of the same finding;
re-registration of replication studies is strongly recommended, but not required.
Other factors that would weigh in favor of a replication submission include pre-registration of hypotheses, design, and analysis and submissions by researchers other than the authors of the original findings. Please note in the Manuscript Submission Portal that the submission is a replication article. Papers that make a substantial novel conceptual contribution and also incorporate replications of previous findings continue to be welcome as regular submissions.
Technology, Mind, and Behavior also accepts submission of registered reports. The review process for registered reports follows a two-stage process. For Stage 1 (the initial submission), authors submit only their introduction, methods, and data analysis plan for peer review; authors might also submit pilot data if applicable. Major criteria for publication of registered reports include:
the importance and relevance of the research
the logic and rationale of the proposed hypotheses/research questions
the soundness and feasibility of the proposed study methodology and data analysis (including statistical power analyses where appropriate)
the clarity and degree of methodological detail provided in the submission; here, authors are encouraged to share complete study materials in their submissions (e.g., survey templates, videos of experimental procedures, etc.)
Stage 1 submissions should be no more than 50% of the length of a full-length manuscript (depending on whether the submission is a multi-study report, single-study report, or brief report; see above for full manuscript limits). Editorial decisions are rendered on the Stage 1 submission, and manuscripts that clear peer review will be accepted, in principle pending the competent completion of the proposed study. After completion, authors submit their completed manuscript and other study materials for Stage 2 review, mostly focused on (a) ensuring that the authors adhered to their Stage 1 predictions, methods, or analyses and/or (b) clearly articulated any rationale for post hoc deviations from Stage 1.
Interested authors can contact the journal directly, or consult the Center for Open Science for more details about registered reports.
Danielle S. McNamara, PhD, is a Professor of Psychology in the Psychology Department at Arizona State University. She is an international expert in the fields of cognitive and learning sciences, reading comprehension, writing, text and learning analytics, natural language processing, computational linguistics, and intelligent tutoring systems. She develops educational technologies and conducts research to better understand cognitive processes involved in comprehension, knowledge and skill acquisition, and writing.
C. Shawn Green, PhD, is an Associate Professor in the Department of Psychology at the University of Wisconsin-Madison. His primary research program focuses on factors that influence the rate and generalization of perceptual and cognitive learning. His research program utilizes many reasonably standard approaches in these disciplines (e.g., psychophysics, fMRI, DWI, EEG, etc.), but also frequently takes advantage of certain modern forms of media (e.g., video games, media multi-tasking, virtual reality, etc.) in order to better understand how experience influences perceptual and cognitive skills.
Nick Bowman, PhD, is an Associate Professor in the College of Media and Communication at Texas Tech University. His primary research examines the uses and effects of interactive media technologies, such as video games, virtual/augmented/mixed reality, and social media. His work focuses on the cognitive, emotional, physical, and social demands of interactivity. He has extensive teaching and research experience in the United States, Germany, and Taiwan, and prior editorial experience with Communication Research Reports and Journal of Media Psychology. Most recently, he was named the Fulbright Wu Jing-Jyi Arts and Culture Fellow at the National Chengchi University in Taipei.
To see the full list of Technology, Mind, & Behavior Editorial Board members, including each member's research statement, please refer to the TMB Editorial Board page.
For Technology, Mind, & Behavior submission guidelines, manuscript submission portal, and editorial office contact information, please refer to instructions to authors.
To browse open calls for papers, please refer to the Technology, Mind, & Behavior news page.
Special Collection Editors: C. Shawn Green, Nicholas David Bowman, and Tobias Greitemeyer
To browse this special collection, please refer to the collection page.
Special Collection Editors: Rachel Flynn and Fran Blumberg
To browse this special collection, please refer to the collection page.
|ScienceOpen disciplines:||Education, Psychology, Vocational technology, Engineering, Clinical Psychology & Psychiatry|
|Keywords:||psychology, technology, human-technology interaction, human machine systems design, human machine systems, human factors engineering, social robotics, social media, virtual reality, test construction|