

IVR (interactive voice response) menu navigation has long been recognized as a frustrating interaction experience. We propose an IM-based system that sends a coordinated visual IVR menu to the caller's computer screen. The visual menu is updated in real time in response to the caller's actions. With this automatically opened supplementary channel, callers can take advantages of different modalities over different devices and interact with the IVR system with the ease of graphical menu selection. Our approach of utilizing existing network infrastructure to pinpoint the caller's virtual location and coordinating multiple devices and multiple channels based on users' ID registration can also be more generally applied to create integrated user experiences across a group of devices.

Standard telephone keypads are labeled with letters of the alphabet, enabling users to enter textual data for a variety of possible applications. However, the overloading of three letters on a single key creates a potential ambiguity as to which character was intended, which must be resolved for unambiguous text entry. Existing systems all use pairs of keypresses to spell out single key letters, but are extremely cumbersome and frustrating to use.
Instead, we propose single-stroke text entry on telephone keypads, with the ambiguity resolved by exploiting information-theoretic constraints. We develop algorithms capable of correctly identifying up to 99% of the characters in typical English text, sufficient for such applications as telephones for the hearing impaired, E-mail without a terminal, and advanced voice-response systems.

Standard telephone keypads are labeled with letters of the alphabet, enabling users to enter textual data for a variety of possible applications. However, the overloading of three letters on a single key creates a potential ambiguity as to which character was intended, which must be resolved for unambiguous text entry. Existing systems all use pairs of keypresses to spell out single key letters, but are extremely cumbersome and frustrating to use.
Instead, we propose single-stroke text entry on telephone keypads, with the ambiguity resolved by exploiting information-theoretic constraints. We develop algorithms capable of correctly identifying up to 99% of the characters in typical English text, sufficient for such applications as telephones for the hearing impaired, E-mail without a terminal, and advanced voice-response systems.