Voice Assistant
An intelligent system that interacts with users through speech, built on speech recognition and natural language processing technologies. Typical examples include Siri, Alexa and Google Assistant. Such systems rely on multimodal fault-tolerant design to handle the variability and ambiguity of spoken input.
Timeline (last 90 days)
Users have very low tolerance for voice assistants, and a single misheard instruction or off-topic response can cause a user to abandon the product entirely.
The technical bar for voice scenarios is higher than for text chat, because phone conversations have extremely little margin for error, whereas text interactions allow users to pause and re-read.
In 2019, several major tech companies were exposed for sending users' voice clips to human reviewers for quality assessment.
All Facts (3)
Users have very low tolerance for voice assistants, and a single misheard instruction or off-topic response can cause a user to abandon the product entirely.
50%UnverifiedThe technical bar for voice scenarios is higher than for text chat, because phone conversations have extremely little margin for error, whereas text interactions allow users to pause and re-read.
50%UnverifiedIn 2019, several major tech companies were exposed for sending users' voice clips to human reviewers for quality assessment.
60%