Strategy Analytics on Artificial Intelligence: Voice as Primary HMI provides more natural engagement

Boston, MA – May 4, 201 7 – Artificial Intelligence (AI) is rapidly growing due to its implementation in smart home and IoT technologies. While current AI implementations often work in the background through features such as Facebook feeds, consumers most frequently associate it with digital ‘assistants’, entertainment recommendations, and self-driving cars. A recent study from the User Experience Strategies (UXS) service at Strategy Analytics, “ UXS Technology Planning Report: Artificial Intelligence ”, investigating the needs, behaviors and expectations of future AI consumers, has found that voice as the primary human machine interface (HMI) for AI provides more natural engagement through discussion and consulting.

Consumers need an intelligent way to interact with intelligent machines. Fundamentally, traditional HMI such as touchscreens and menus are too limiting in terms of what AI can offer the consumer. More intelligent voice implementations, supported by advanced user profiling, continued learning and natural language processing, will enhance the AI experience and make it seem more ‘intelligent’ and life-like. However, many users are unsure or simply unaware of the specific commands they need to activate voice-enabled AI solutions. Command language in addition to speech recognition and accuracy issues, are the major barriers to widespread voice adoption.

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Christopher Dodge, Associate Director and report author commented, “While voice commands provide the most natural HMI, in some instances manual options are also necessary to override the intelligent aspect of a device. Anxiety around technology breaking down and rendering the user helpless also exists, especially if it’s relied on it for everyday tasks. This becomes a concern in the event of power failure, device battery failure, or inability to communicate effectively at any given time.”

Chris Schreiner , Director of Syndicated Research, UXIP added, “OEMs need to provide a quick method for users to intervene and regain control. The AI solution needs to be intelligent enough to identify a change has been requested and adjust accordingly. Knowing how to react when the user changes their mind or alters their path is crucial when AI gets something wrong.”

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