Say What? Why users choose to speak their web queries
Abstract
The context in which a speech-driven application is used (or
conversely not used) can be an important signal for recognition engines, and for spoken interface design. Using
large-scale logs from a widely deployed spoken system, we
analyze on an aggregate level factors that are correlated with a decision to speak a web search query rather than type it. We find the factors most predictive of spoken queries are whether a query is made from an unconventional keyboard, for a search topic relating to a users' location, or for a search topic that can be answered in a “hands-free” fashion. We also find, contrary to our intuition, that longer queries have a higher probability of being typed than shorter queries.
conversely not used) can be an important signal for recognition engines, and for spoken interface design. Using
large-scale logs from a widely deployed spoken system, we
analyze on an aggregate level factors that are correlated with a decision to speak a web search query rather than type it. We find the factors most predictive of spoken queries are whether a query is made from an unconventional keyboard, for a search topic relating to a users' location, or for a search topic that can be answered in a “hands-free” fashion. We also find, contrary to our intuition, that longer queries have a higher probability of being typed than shorter queries.
Research Areas
