Convergence Design Lab, Purdue University
  • Home
  • Our Vision
  • People
    • Team
    • Outreach Team
    • Alumni
      • Xun Qian
      • Luis Paredes
      • Ana Villanueva
      • Subramanian Chidambaram
      • Terrell Glenn
      • Tianyi Wang
      • Yuanzhi Cao
      • Sangpil Kim
      • Ke Huo
      • Yunbo Zhang
      • Chiho Choi
      • Sang Ho Yoon
      • Sujin Jang
      • Joran Booth
      • Cecil Piya
      • Ayan Sinha
      • William Z Bernstein
      • Devarajan Ramanujan
      • Vinayak
      • Senthil Chandrasegaran
      • Wei Gao
      • Pratik Chawla
      • Pawan Rao
      • Yanke Tan
      • Tarun George
      • Ansh Verma
      • Anirudh Sriram
      • Vinh Nguyen
      • Jasjeet Seehra
      • Jeff Alperovich
  • Publications
    • 2025
    • 2024
    • 2023
    • 2022
    • 2021
    • 2020
    • 2019
    • 2018
    • 2017
    • 2016
    • 2015
    • 2014
    • Earlier Publication
  • News
  • Outreach
  • Courses
    • ME 553
    • ME 444
    • ME 496
  • Spin-offs
Select Page


Informing Early Design Via Crowd-based Co-creation

Informing Early Design Via Crowd-based Co-creation

by Dev Ramanujan | Apr 20, 2015 | 2015, DESIGN METHOD, Design Representation, Devarajan Ramanujan, Karthik Ramani, Publications, Vinayak

Customer inputs in the early stages of design can potentially lead to completely new outlooks in concept generation. We propose crowd-based co-creation as a means to this end. Our main idea is to think of the customer as a source of initial design concepts rather than...
HandiMate: Create and Animate using everyday objects

HandiMate: Create and Animate using everyday objects

by Convergence Design Lab Admin | Jan 5, 2015 | 2015, Ansh Verma, Design Learn, DESIGN METHOD, Jasjeet Seehra, Karthik Ramani, Publications, TANGIBLE, EMBEDDED & EMBODIED INTERFACES, Tangibles

The combination of technological progress and a growing interest in design has promoted the prevalence of DIY (Do It Yourself) and craft activities. In a similar spirit, we introduce HandiMate, a platform that makes it easier to fabricate and animate...
Heat-Passing Framework for Robust Interpretation of Data in Networks

Heat-Passing Framework for Robust Interpretation of Data in Networks

by Convergence Design Lab Admin | Dec 3, 2014 | 2015, DESIGN METHOD, Design Representation, Karthik Ramani, Publications

Researchers are regularly interested in interpreting the multipartite structure of data entities according to their functional relationships. Data is often heterogeneous with intricately hidden inner structure. With limited prior knowledge, researchers are likely to...
GestureAnalyzer: Visual Analytics for Pattern Analysis of  Mid-Air Hand Gestures

GestureAnalyzer: Visual Analytics for Pattern Analysis of Mid-Air Hand Gestures

by Sujin | Oct 4, 2014 | 2014, HUMAN SHAPE INTERACTION, Karthik Ramani, Mid-air Interaction, Spatial Analytics, Sujin Jang

Understanding the intent behind human gestures is a critical problem in the design of gestural interactions. A common method to observe and understand how users express gestures is to use elicitation studies. However, these studies requires time-consuming analysis of...
Art Meets Engineering Design: An Approach for Reducing Sketch Inhibition in Engineers During the Design Process

Art Meets Engineering Design: An Approach for Reducing Sketch Inhibition in Engineers During the Design Process

by Joran | Sep 8, 2014 | 2014, DESIGN METHOD, Design Representation, Joran Booth, Karthik Ramani

While much prior work has been done regarding sketching and its impact on design and a few on how to train engineers to sketch, there have been no prior studies in engineering to reduce inhibition to frequent sketching. This paper describes a sketching intervention...
Evaluating the Bottom-Up Method for Functional Decomposition in Product Dissection Tasks

Evaluating the Bottom-Up Method for Functional Decomposition in Product Dissection Tasks

by Joran | Sep 8, 2014 | 2014, Design Learn, DESIGN METHOD, Design Representation, Joran Booth, Karthik Ramani

The purpose of this study is to continue to explore which function identification methods work best for specific design tasks. Prior literature describes the top-down and bottom-up approaches as equivalent methods for functional decomposition. Building on our prior...
« Older Entries
Next Entries »

Categories

  • DESIGN METHOD
    • Design Learn
    • Design Collaboration
    • Design Representation
  • TANGIBLE, EMBEDDED & EMBODIED INTERFACES
    • Embedded Input
    • Tangibles
    • Fabrication
  • HUMAN SHAPE INTERACTION
    • Multi-touch Interaction
    • Mid-air Interaction
    • Spatial Analytics
    • Shape Understanding

Recent Publications

  • agentAR: Creating Augmented Reality Applications with Tool-Augmented LLM-based Autonomous Agents
  • DesignFromX:Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
  • GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality

Recent Publications

  • agentAR: Creating Augmented Reality Applications with Tool-Augmented LLM-based Autonomous Agents
  • DesignFromX:Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
  • GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality

Lab News

  • ASME Hosts Congressional Briefing on Developing a Robust AI and STEM Workforce
  • Purdue professor foresees AI as catalyst for transformation in manufacturing and workforce
  • Convergence Master’s Thesis Graduate and Veo Co-founder Edwin Tan officially launches the Veo fleet at Purdue University

Recent Publications

  • agentAR: Creating Augmented Reality Applications with Tool-Augmented LLM-based Autonomous Agents
  • DesignFromX:Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
  • GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality

Featured Publications

  • agentAR: Creating Augmented Reality Applications with Tool-Augmented LLM-based Autonomous Agents
  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence
  • Visualizing Causality in Mixed Reality for Manual Task Learning: A Study
  • Facebook

Designed by Elegant Themes | Powered by WordPress