Debaleena C.


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  • Bio
  • Research
  • Publications
  • Teaching
  • Contact

Research.

    For my current research, see my lab's website.



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    Interaction with Large Displays

    2012 — present

    I study interaction design in touchless systems—systems operated with freehand gestures—with a focus on developing intuitive interfaces for different considerations of use, such as interactive visualization, collocated collaboration, or large display interaction.

    Selected Publications

    Motor-Intuitive Interactions Based on Image Schemas: Aligning Touchless Interaction Primitives with Human Sensorimotor Abilities

    Chattopadhyay, D., & Bolchini, D.
    Journal Paper Special Issue on Intuitive Interactions, Interacting With Computers, 27(3), 327–343.

    May 2015

    Touchless Circular Menus: Toward an Intuitive UI for Touchless Interactions with Large Displays

    Chattopadhyay, D., & Bolchini, D.
    Conference Paper Proceedings of the International Working Conference on Advanced Visual Interfaces, 33–40, ACM.

    May 2014

    Project Page

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    Rethinking of Computerized Clinical Alerts

    2014 — 2016

    The long-term goal of this project is to identify critical social, communication and cognitive factors that can inform a fundamental rethinking of effective Drug-Drug Interaction alerts (DDI alerts) for physicians. Specifically, our objective is to uncover, demonstrate and evaluate novel principles for effective and novel alert design.

    Publications

    Understanding Advice Sharing among Physicians: Towards Trust-Based Clinical Alerts

    Chattopadhyay, D., Rohani Ghahari, R., Duke, J., D., .& Bolchini, D.
    Journal Paper Interacting with Computers, 28(4), 532–551.

    August 2015

    image Endorsement, Prior Action, and Language: Modeling Trusted Advice in Computerized Clinical Alerts

    Chattopadhyay, D., Duke, J., D., & Bolchini, D.
    Extended Abstract Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2016, 2027—2033, ACM.


    Best Paper Honorable Mention (top 5%)

    May 2016

    Project Page

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    Explaining the Uncanny Valley

    2013 — present

    The uncanny valley theory does not provide a causal explanation of why near-perfect human likeness of a stimulus elicits an eerie response. There is a debate on the extent to which the uncanny valley effect is a general cognitive phenomenon, or whether it involves visceral conflicts at the perceptual level. In this project, we are currently investigating if the eerie and cold feelings elicited by entities in the uncanny valley also involves specific affective biological adaptation, such as fear or threat avoidance.

    Publications

    Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not

    MacDorman, K., F., & Chattopadhyay, D.
    Journal Paper Cognition, 146, 190—205.

    January 2016

    Familiar Faces Rendered Strange: Why Inconsistent Realism Drives Characters into the Uncanny Valley

    Chattopadhyay, D. & MacDorman, F., K.
    Journal Paper Journal of Vision, 16(11), 1—25

    September 2016

    What is uncanny valley?

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    Tagging Human Motion using Skeletal Tracking

    2010 — 2011

    In this project, we categorized human interactions using skeletal information. We created the K-10 Interaction dataset—ten different classes of two-person interactions performed among six different agents and recorded using the Kinect for Xbox 360. We represented human interactions in terms of local space-time features, aligned them using Canonical Time Warping, and used SVM and MILBoost for supervised classification.

    Publications

    Two-person Interaction Detection using Body-Pose Features and Multiple Instance Learning

    Yun, K., Carrillo, J., H., Chattopadhyay, D., Berg, T., L., & Samaras, D.
    Conference Paper Proceedings of Computer Vision and Pattern Recognition Workshops, 28–35, IEEE.

    June 2012

    Interactive Music: Human Motion Initiated Music Generation using Skeletal Tracking by Kinect

    Berg, T., L., Chattopadhyay, D., Schedel, M., & Vallier, T.
    Conference Paper Proceedings of Society for Electro-Acoustic Music in the United States, Wisconsin, USA.

    January 2012

    Multimodal Tagging of Human Motion Using Skeletal Tracking With Kinect

    Chattopadhyay, D.
    Thesis & Dissertation Computer Science Department, State University of New York at Stony Brook.

    May 2011

    Project Page

Acknowledgements

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