Tools and Methods to Analyze Multimodal Data in Collaborative Design Ideation

Collaborative design ideation is typically characterized by informal acts of sketching, annotation, and discussion. Designers have always used the pencil-and-paper medium for this activity, partly because of the flexibility of the medium, and partly because the ambiguous and ill-defined nature of conceptual design cannot easily be supported by computers. However, recent computational tools for conceptual design have leveraged the availability of hand-held computing devices for creating and sharing ideas. In order to provide computer support for collaborative ideation in a way that augments traditional media rather than imitates it, it is necessary to study the affordances made available by digital media for this process, and to study designers' cognitive and collaborative processes when using such media. In this thesis, we present tools and methods to help make sense of unstructured verbal and sketch data generated during collaborative design, with a view to better understand these collaborative and cognitive processes. This thesis has three main contributions.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Mechanical Engineering

Year

2016

Author dc:creator

• Chandrasegaran, Ramaswamy Senthil Kumaran

Contributors dc:contributor

• Karthik Ramani
• Niklas Elmqvist
• Lorraine Kisselburgh
• Jitesh Panchal

• Collaboration
• Conceptual Design
• Human-Computer Interaction
• Information Visualization
• Visual Analytics

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1407

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2623