Labvanced vs OGAMA

Labvanced is a no-code platform for designing and running behavioral research experiments. Researchers use graphical tools to build studies and can collect millisecond-precise reaction-time measures and webcam-based eye tracking. Study elements include questionnaires, audio and video stimuli, mouse tracking, and real-time multi-participant sessions. Labvanced documents recruitment integrations including Prolific, CloudResearch, Sona Systems, Besample, Panelabs, Amazon Mechanical Turk, and Clickworker. Its desktop app can connect EEG systems, eye trackers, motion sensors, and wearables through Lab Streaming Layer, and can run locally without internet access; that app is available to group and departmental license holders for Windows, MacOS, and Linux Ubuntu. A Chrome extension enables controlled studies on live third-party websites while recording gaze, clicks, hovering, and scrolling. Labvanced says webcam eye-tracking video is not sent to its servers or experimenters by default. The free plan includes 300 MB of storage, 10 recordings, and one active recruiting link. Paid tiers list live chat, with some adding premium email support or onboarding. Labvanced was released in 2018 and is maintained by Scicovery GmbH.

OGAMA is Windows freeware for recording and analyzing eye-tracking and mouse-tracking data in slideshow experiments. It supports direct recording with Tobii, alea and SMI systems, along with the open-source ITU Gazetracker solution. Gazetracker can use infrared-ready webcams or a modified PlayStationEye camera. OGAMA can also import ASCII recordings from eye-tracking and presentation software or hardware. Its analysis tools include database-driven preprocessing and filtering, attention maps, areas of interest, saliency calculations, Levenshtein distances, and replay with AVI recording. Output can be used directly with statistical software packages. OGAMA is an open-source project written in C#.NET, and users can adapt its code. The maintainer announced in May 2016 that they had stopped supporting the project because they no longer had time for support and feature requests.