A R R Y N . R O B B I N S

  • New publication

    It’s been 8 or 9 years since we start this project, but I’m happy to announce that the PiCS database has finally been published and ready for use! This large database of images allows researchers to select images by similarity across multiple dimensions. Importantly, they can do this within and across object categories. Check out…

  • PICS Database at APS

    I am very excited to have the opportunity to share information about the PICS database at the APS Convention this year in Washington D.C.  I have worked with my colleagues at New Mexico State University and the University of Central Florida to develop a database of images that is organized by similarity using multidimensional scaling.…

  • See you at VSS!

    I will be presenting a poster at VSS 2019 on my work with NMSU and UCF. We examined the ability of MDS to quantify category variability and predict visual search performance. This will be the first presentation to include information about the forthcoming PICS database. Robbins, A., Scherer, K., Sabic, E., MacDonald, J., Ercolino, A.,…

  • Cranking out that research!

    Congrats to my fellow lab members and Dr. Hout for all of the VSS presentation acceptances! I will present research I completed last semester examining pupillary reflexes during categorical search. Here is a list of our upcoming presentations: Robbins, A., & Hout, M. C.  (2016, to be presented).  Typicality effects in categorical visual search investigated…

  • New article out in AP&P!

    We have a new article out in AP&P: a tutorial in using MDS to quantify similarity for stimuli! Check it out at Hout’s website HERE. Congrats to my coauthors on a great paper!