Jibo Social Robotics

Jibo Social Robotics project, undertaken in 2016, aimed to pioneer in the realm of empathetic, multi-turn conversation for home assistants. Unlike Alexa, Siri, or Google Home, Jibo was designed to offer character-driven interaction, pushing the boundaries of social robotics.

Timeline
2016

Categories
UX and Voice-user Interface (VUI) Design

Challenge

The primary challenge was to develop effective multi-turn conversations with multiple users for Jibo. This entailed ensuring rapid and accurate validation of VUI (Voice User Interface) design decisions, crucial for the product's market launch.

Approach

Working in a team of interns, we developed a 'Wizard of Oz' (WoZ) tool for real-time testing of Jibo's interactions, using a TTS engine and unique animations. I designed and conducted over 100 user tests, including A/B, qualitative, and quantitative methods, tailored for various demographic stakeholders.

Outcome

My contribution was instrumental in establishing a robust feedback loop for the startup, enabling data-driven design decisions for Jibo's VUI. The multi-turn dialogue and persona designs I helped develop became a part of Jibo's user interaction library. The robot was featured on Time Magazine's 'Best Inventions of the Year' in 2017.

Jibo and the WoZ tool we created to prototype Jibo's features in real time for user tests. The WoZ tool featured a TTS engine.

A decision tree I used to map out Jibo's interactions for a multi-turn dialogue test.

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