How do various disciplines use information and data visualization for decision-making, communication, or collaboration?
Human-World Interaction, Multimedia, and Emerging Technologies
Technology-Supported Human-World Interaction: The posts on this blog reflect what I've been discovering during my mid-life return to higher-education studies. I focus mainly on "off the desktop" interaction - ubiquitous/pervasive computing, technology supported humman-to human interaction, collaborative technologies, info-viz, usability, and interaction design. I sometimes post examples of things I've nominated for the "usability hall of shame".
Interactive Multimedia Technology: I cover topics such as games in education, serious games, interactive multimedia applications for prevention and intervention (health promotion, stress management, mental health etc,) and exploring new ways that interactive multimedia can support efficiency in learning, cognition, and communication. This includes multi-touch technology on displays of all sizes.
TechPsych: This blog focuses on topics related to education and psychology. I cover topics such as Universal Design for Learning, Response to Intervention, Positive Behavior Supports, and health promotion. I also touch on assistive technology and the use of technology in psychology, counseling, and related fields.
How are information visualization tools used in your discipline? Is visual literacy becoming more important in your field? Let's discuss!
I'm taking a course about information visualization and visual communication this semester. I'll be posting interesting links and resources as I come across them over the next few months on my Interactive Multimedia Technology blog.
I'd like to hear from others about the way information visualization is used, or could be used, in various disciplines to support decision-making, knowledge-sharing, collaboration, and understanding.
Every day, people make important decisions based on "data" or information that might be misleading, either because they do not understand what the data means, because the data isn't represented in a meaningful way, or for other reasons. Does this happen in your field?
Thanks!
Lynn Marentette
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