Digital Classroom & Big Data
SMI big data solutions allow for multi-station eye tracking data collection and aggregated analysis in dedicated fields of use.
I successfully used an early release of the Digital Classroom to conduct reading experiments with children. Users of the upgraded launch product will benefit from the improved control it affords the researcher. In the past, multi-station experiments have meant going from PC to PC to say, start the experiment. Being able to control all aspects remotely means uniform experimental conditions and a more manageable research environment.
Dr Sascha Tamm
Center for Applied Neuroscience, Freie Universität Berlin
We are long-term and happy users of SMI eye tracking solutions which can be used for lab research and real classroom settings. The software comes with many intelligent functions which facilitate the creation of multimedia stimuli and help us analyze the visual interaction with different media types.
Prof. Katharina Scheiter
Eye tracking enhanced our study in two key ways: eye movements offered an objective measure to investigate teachers' visual processing of classroom events, and using gridded AOIs allowed us to specify where and what teachers were looking at in the classroom.
Charlotte Wolff, PhD
Welten Institute: Research Centre for Learning, Teaching, and Technology, Open University of the Netherlands
The new small recording unit allows the teacher in a classroom to freely move around. This way, students and teachers quickly forget that they are part of a study.
Prof. Kai Schnabel Cortina
School of Education, University of Michigan
Me and my colleagues are impressed with the SMI remote eye tracking system: Even when working outside of a traditional lab, the system shows reliable calibration or track performance. We travel around a lot with the system – on busses, ferries, air planes to schools and kindergartens. On-site, the system is easy to set-up and fully functional within 5 minutes.
Dr. Björn Lundquist
Department of Language and Linguistics, University of Tromsø
Using real-time eye gaze information from an SMI RED 250, we incorporated user fixation data into our model of operator overload, which predicted the likelihood of an imminent error on a supervisory control task. This allowed us to provide real-time feedback to the user, based on their attention, in the form of a useful cue.
Naval Research Laboratory
SMI Experiment Suite Scientific software offers a very elegant solution for designing and analyzing Visual World and Preferential Looking experiments. With Proportion of Looks I can aggregate data over multiple stimuli and trials – which is very useful.
Dr. Paula Rubio-Fernandez
Center for the Study of Mind in Nature, University of Oslo
The plug and play integration of BIOPAC and SMI measurement solutions reveals how visual information evokes physiological reactions. The integrative approach allows researchers to easily access complete participant response data for their analysis.
CEO, BIOPAC Systems
ASGM helped us to reduce analysis times from a month—with five team members analyzing the basic data—to just a couple weeks for a single graduate student. It gave us very reliable data and has been a great improvement for our research. I would recommend ASGM as an initial approach for anybody analyzing scan path data. It saved us time and money on the overall analysis of our project.
Prof. Stephen Macknik
State University of New York (SUNY)
We are happy that the ICA, our patented physiological assessment of cognitive workload, was successfully integrated by our partner SensoMotoric Instruments. We think this joint work of SMI and EyeTracking Inc. will further enhance analysis options for research studies which aim to analyze cognitive workload levels.
Our StimTracker for SMI provides a customized second output which allows to send up to eight signals simultaneously to the SMI eye tracking data file and to any one of these EEG recorders: AD Instruments, ANT Neuro, Biopac, Biosemi, Brain Products, EGI, MindWare, and Neuroscan.
PRS IN VIVO is happy to announce a successful beta-test with SMI’s ASGM as part of a quantitative shopper research project. ASGM generated actionable eye-tracking data overnight, where several days were previously needed. It worked perfectly in our test cases. SMI’s ASGM is an excellent resource for fast, accurate data that we highly recommend.
VP, Innovation and Integration, PRS IN VIVO
Combining SMI's technology with our VR development software Vizard allows researchers and professionals to create VR applications with real-time gaze interaction in the HTC Vive. This instant user interaction, naturally triggered by the eye gaze, gives those involved in market research, sports training, behavioral research, neuroscience and many other fields an incredibly powerful and one-of-a-kind solution for studying how people view, navigate and interact with environments.
Since many of our participants are tested during the acute post-stroke phase, we need to be able to bring the eye tracker to the hospital and easily move it between clinical units to best accommodate our patients. The RED250mobile is basically no bigger than a stapler, so this can easily be accommodated. Despite the fact that many of our participants have age-related eye conditions and wear glasses, we’ve found that calibration has been accurate and easy to establish.
Dr. Maya Libben
University of British Colombia Okanagan
The Proportion of Looks module, when combined with the Stimulus Properties editor and the new Composite feature, allows us to export Visual World data in a statistics-ready format. This saves a lot of the programming effort that would be required when carrying out Visual World eye-tracking studies with other less user-friendly systems.
Prof. Harald Clahsen
Institute for Multilingualism, University of Potsdam
Being able to combine SMI Eye Tracking Glasses and Biopac physiological data measurements provides access to complete subject response data. In my research we recorded pupil diameter and electrodermal activity during a simulated driving task, and the study shows that pupil diameter signal has good discriminating power for stress detection.
Prof. Thierry Baccino
Université de Paris VIII, Lutin Userlab
At Lufthansa Systems we’re always looking to the future for ways to improve the way people use our products. Our work with SMI eye tracking gives us valuable insights into how flight ops controllers interact with our flagship NetLine/Ops ++ product. I would recommend it to anyone wanting to improve outcomes in screen-based workplaces.
Director Airline Planning and Control Lufthansa Systems