Recent Trends in Voice UI

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RECENT TRENDS IN VOICE UI
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MAIN TOPICS
POINTS TO TALK ABOUT
VUI that Builds Trust.
Adaptive User Interface.
VUI that Conveys Personality.
From Narrow AI Towards General Intelligence.
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Voice User Interfaces (VUI) are the primary or
supplementary visual, auditory, and tactile
interfaces that enable voice interaction between
people and devices.
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Voice interaction is the largest UX challenge for
designers when it comes to designing a VUI. An
Important aspect is that VUI design still applies
to the most fundamental UI design principles we
use when we produce GUI products. Below are some
trends to shape VUI design in the decades to come.
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Trust can help build a connection between an
individual and a machine. If trust is lacking,
user interactions with a specific voice user
interface will not be great. VUI should make it
clear to the person that what he/she have
demanded is interpreted exactly. This goal can be
achieved by focusing on improving speech accuracy
(more sophisticated NLP algorithms).
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It is important to concentrate on understanding
the intent of the user (an initial reason for
interacting). When users interact with a system,
they experience a specific problem that they want
to solve, and the designer's goal is to
understand the problem.
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ADAPTIVE USER INTERFACE
Adaptive UI (also referred to as AUI) is a User
Interface (UI) that adapts to user's or context
requirements. Future VUI will be adapted to
users the system will analyze all the user
information it has (including the current
information on the mental condition and health)
and the current context in order to answer user
requests. By using the available AI Software
Solutions, it is possible to render a high level
of adaptability.
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VUI THAT CONVEYS PERSONALITY
Designers can communicate personality by playing
with words, voices, and tones as well as using
language itself. A voice is part of the person
and shapes his identity. It becomes part of its
identity when we have combined a voice with
something. And when we interact with such an
interface, as when we interact with real people,
we experience emotions. People want
comprehensible voicesnot just human voices.
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Human-computer interactions are shifting to
conversation, but users expect more. Most of AI
systems available today are still limited to
Narrow AI such systems use Machine Learning to
solve a clearly defined (and, in most cases, way
too narrow) problem. Narrow AIs have zero
knowledge outside of their training data.
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