Multimer supports human-centered research through crowdsourced biometric data.
The MindRider Sensor
The MindRider Sensor is a custom brainwave sensor designed to maximize comfort and ergonomics over long periods of time. MindRider is just one of several biosensors that integrate with Multimer’s Mobile app: popular smartwatch brands and heart rate monitors are also compatible with the app.
Multimer Mobile app
The easy-to-use Multimer mobile app is used to begin and end a data collection session, keep track of the amount of data collected, and even has real-time feedback for certain biometrics. The app uses Informed Consent protocols: users can preview and delete any of their recorded data before they upload it to the Multimer analysis engine.
Multimer Analysis Engine
Multimer’s analysis platform is where it all comes together. Here you are able to monitor and perform simple analyses of real-time neurophysiological data as it is generated for your study. At the conclusion of your study, Multimer delivers the insights you need to answer the questions you have.
Our publications include:
2020: Ducao, Arlene, Ilias Koen, Zhiqi Guo, Jordi Frank, Chris Willard, and Jenny Kam. “Multimodally Modeling Neurophysiological Experience in Public Space.” International Journal of Community Well-being Special Issue on Artificial Intelligence, 2020 (forthcoming).
2020: Bacevice, Peter and Arlene Ducao. “Biometric Data and Its Impact on Architectural Design: Opportunities & Challenges for Workplace Research,” 2020 (forthcoming).
2020: Ducao Arlene, Ilias Koen, Tania van Bergen, et al. “Multimer: User Experience Exercises from a Bio-Spatial Study in the Urban Context.” Proceedings of the Distributed, Ambient and Pervasive Interactions 8th International Conference, DAPI 2020, Held as Part of the 22st HCI International Conference, HCII 2020, July 2020 (forthcoming).
2019: Ducao, Arlene. “How Biometric Data Supports Mobility Planning in Nairobi and Kuala Lumpur.” International Journal of Traffic Safety Innovation: Vision Zero Cities, 2019.
2018: Ducao, Arlene. Data, Architecture, and the Experience of Place. Contributed chapter “Data + Multimer.” Routledge, 2018.
2018: Ducao, Arlene, Ilias Koen, and Zhiqi Guo. “Multimer: Validating Multimodal, Cognitive Data in the City.” Proceedings of the 20th ACM International Conference on Multimodal Interaction, Workshop on Modeling Cognitive Processes from Multimodal Data, ACM, 2018.
2017: Littlefield, Melissa. Instrumental Intimacy: EEG Wearables and Neuroscientific Control. Inclusion of Multimer/MindRider graphics. JHU Press, 2017.
2015: Ducao, Arlene, Jennifer Sta. Ines, Ilias Koen, and Ben Tudhope. MindRider Maps Manhattan. Amazon Digital Services, Google Books, 2015.
2013: Ducao, Arlene. “Bike Helmets with Lights Displays Rider’s Brain State.” WGBH News.
2012: Ducao, Arlene, Tiffany Tseng, and Anette von Kapri. “Transparent: brain computer interface and social architecture.” ACM SIGGRAPH 2012 Posters. ACM, 2012.