Virtual Reality Lab
The Virtual Reality Lab, under the direction of Dr. Jakki Bailey, is a space where researchers study people’s psychological and social experiences of technology and media. In particular, they specialize in looking at virtual reality and immersive experiences with special emphasis on how they relate to questions of child and human development.
The Information Retrieval and Crowdsourcing Lab was established to advance the state-of-the-art methodologies for search and human computation/crowdsourcing. The aim is to integrate crowdsourcing with automatic algorithms to improve search engine experiences, capababilities, and evaluation.
The Information eXperience Lab is a research facility dedicated to the science of information studies, the empirically-based design of human-information interaction, and the education of graduate students in the process of both. This state-of-the-art lab is used to conduct experiments on human-information processing and usability, accessibility, and other studies of the interaction between humans and information sources.
The Digital Archaeology Lab is a significant part of the School of Information’s research and education in digital archiving. The facility provides multiple computer platforms, including a complete forensic workstation, a variety of media drives, and current and legacy software for the purpose of recovering digital objects from noncurrent environments for transfer into a preservation environment. Students and faculty carry out research to develop extraction protocols and to test efficient and safe means of treating legacy media and formats.
The Conservation Lab contains a large variety of tools and equipment for examination, analysis, photo documentation, and conservation treatment of books and paper. A thorough sample collection, including more than 10,000 photographs and many other materials, is available for student use.
Image and Video Computing (IVC) Group
The Image and Video Computing (IVC) Group's aim is to create computing systems that enable and accelerate the analysis of visual information, as a critical precursor to discoveries and innovations that can benefit society at large. Lead by Dr. Danna Gurari, their research involves computer vision, machine learning, crowdsourcing, human computation, human-computer interaction, accessibility, and (bio)medical image analysis.