Articulate+: An Always Listening Interface for Creating Data Visualizations
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2022
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Digital assistants are becoming more frequently used in our daily lives. We use Alexa to turn off the lights, Siri to play music, and Cortana to check the weather. These systems allow users to complete daily tasks, but are we utilizing these systems to their full potential? Current research and technology in Voice User Interfaces (VUIs) are constantly improving the way we interact with digital assistants, but are required to only start listening once the user starts addressing the system. This requirement potentially limits what these systems can accomplish for the user. We should be including these systems in our conversation so that they can start participating in our discussions and meetings by suggesting new ideas or proposing new topics just as a human assistant would do. This would enable digital assistants to become collaborators and co-pilots in our life, rather than merely tools. In my thesis, I will discuss my investigation into collaborative digital assistants by examining Natural Language Interfaces (NLIs) that facilitate data exploration tasks. I created Articulate+, an always listening system that generates data visualizations all through voice commands. Articulate+ presents a digital persona of itself, called Arti, designed to act as a collaborator. I developed an always listening method that leverages conversational data to generate informative data visualizations. I conducted a user study in order to evaluate Articulate+ and investigate the benefits of my always listening method. My contributions in this thesis will bring us one step closer to a future where AI will be able to participate in meetings and discussions just as a human would.
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Computer science, Always Listening Interface, Articulate+, Artificial Intelligence, Data Visualization, Natural Language Processing, Voice User Interface
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73 pages
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