Conversational UX and NLR
Advanced TV features are increasingly using Natural Language Recognition to improve user experience and profiling of users. In this long study I designed a new kind of set top box that is capable of recognizing context and virtual position of multiple users in the room. UX becomes adaptive and UI responds accordingly.
Further development of the design framework considers the information architecture and mixes it with specific and desirable statuses the device should have.
Audio and video sensing is used to trigger status change and style of communication.
Contextual hints and conversational capability depend on elements are very hard to simulate because designing for voice means imagining NLR tools and frameworks that are currently unavailable. The challenge for a UX designer is to set a known collection of constrains we know will be hard to avoid in the remote future. Talking to design and business partners about the expected developments of the technology is crucial.
A companion app on phone or specific device helps defining different scenarios in which users can confront themselves with a steep learning curve when interacting with a real conversational device. Also, the combination of touch interfaces in addition to voice interfaces adds up to the complexity of the UX architecture. Pro users may want to converse with the device using voice while another device - for example a remote control - is used to browse visually a carousel of new titles.