Effective learning critical to compelling experience of Artificial Intelligence

Consumers’ desire to complete everyday tasks using AI is high, but current solutions fall short of expectations due to limitations in capability and functionality, says Strategy Analytics

Boston, MA – May 24, 2017 – Artificial Intelligence (AI) has the ability to enrich consumer lives by predicting user behavior, enhancing real world experiences and performing specific tasks, all with minimal effort from the user. 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 effective learning is critical to minimizing user participation and creating a compelling experience.

Click here for the report: https://www.strategyanalytics.com/access-services/ux-innovation/user-experience-strategies/reports/report-detail/uxs-technology-planning-report-artificial-intelligence#.WPh0bfkrKM8

The desire for users to complete everyday tasks and functions using AI is high. But current AI solutions often fall short of expectations due to limitations in capability and functionality.

“Effective learning is critical to creating a compelling experience in this way” commented Christopher Dodge, Associate Director and report author. “Many AI solutions require too much upfront action from the user; manually inputting data or linking profiles from different apps to ensure inclusion in one service is time-consuming and clumsy.”

Correctly identifying an individual within one ecosystem also impacts basic tasks, especially if the solution cannot identify the individual requesting the action. For example, one user selecting music which is then played on another family member’s phone is extremely frustrating for both the user and the recipient. Added Chris Schreiner , Director of Syndicated Research, UXIP,

“Effective learning in AI requires greater access to a user’s personal information as well as improved user profiling of shared AI resources. The ability to learn by error will also make a significant difference to the user experience of these devices. Without these elements, AI will be considered less than ‘intelligent’.”

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