Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/67759
Title: Adaptive personalised spoken dialog user interface
Authors: Teo, Anqin Samantha
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: With the boom in technology, and the rise of systems that are more able to handle increasingly complex computations with relative ease, users now expect more from their applications, whether it be on the desktop, or mobile device. The way we interact with digital mediums is changing, and that is apparent in the requirements when clients request application layouts and user flows from designers. As such, there is an increased need from consumers (and users) for more intuitive design of an application. In this project, the Five Factor Model (FFM), also known as the Big Five personality traits will be used.
With the boom in technology, and the rise of systems that are more able to handle increasingly complex computations with relative ease, users now expect more from their applications, whether it be on the desktop, or mobile device. The way we interact with digital mediums is changing, and that is apparent in the requirements when clients request application layouts and user flows from designers. As such, there is an increased need from consumers (and users) for more intuitive design of an application. In this project, the Five Factor Model (FFM), also known as the Big Five personality traits will be used.
URI: http://hdl.handle.net/10356/67759
Schools: School of Electrical and Electronic Engineering 
Organisations: A*STAR Institute for Infocomm Research
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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