Article MailCall: message presentation and navigation in a nonvisual environment Share on Authors: Matthew Marx Applied Language Technologies, Cambridge, Massachusetts and MIT Media Laboratory, E15-252, 20 Ames St., Cambridge, MA Applied Language Technologies, Cambridge, Massachusetts and MIT Media Laboratory, E15-252, 20 Ames St., Cambridge, MAView Profile , Chris Schmandt MIT Media Laboratory, E15-252, 20 Ames St., Cambridge, MA MIT Media Laboratory, E15-252, 20 Ames St., Cambridge, MAView Profile Authors Info & Claims CHI '96: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsApril 1996 Pages 165–172https://doi.org/10.1145/238386.238467Online:13 April 1996Publication History 16citation543DownloadsMetricsTotal Citations16Total Downloads543Last 12 Months10Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Workgroups that defy traditional boundmies require successful communication among people whose interests, schedules, and locations may differ and are likely to change rapidly.CLUES is a dynamic personalized message filter that facilitates effective communication by prioritizing voice and text messages using personal information found in an individual's work environment.CLUES infers message timeliness by considering calendar appointments, outgoing messages and phone calls, and by correlating these "clues" via a personal rolodex.Experience shows that CLUES can be especially useful to mobile users with high message traffic who often access their messages over the telephone.

SpeechActs is an t:xperimental conversational speech system.Experience with redesigning the system based on user feedback indicates the importance of adhering to conversational conventions when designing speech interfaces, particularly in the face of speech recognition errors.Study results also suggest that speech-only interfaces should be designed from scratch rather than directly translated from their graphical counterparts.Thi& paper examines a set of challenging issues facing speech inteIface designers and describes approaches to address some of these challenges.

Communication is about people, not machines. But as firms and families alike spread out geographically, we rely increasingly on telecommunications tools to keep us “connected”. The challenge of such systems is to enable conversation between individuals without computational infrastructure getting in the way. This paper compares two speech-based communication systems, Phoneshell and Chatter, in how they deal with the keys to communication: proper names. Chatter, a conversational system using speech-recognition, improves upon the hierarchical nature of the touch-tone based Phoneshell by maintaining context and enabling use of anaphora. Proper names can present particular problems for speech recognizers, so an interface algorithm for reliable name specification by spelling is offered. Since individual letter recognition is non-robust, Chatter implicitly disambiguates strings of letters based on context. We hypothesize that the right interface can make faulty speech recognition as usable as TouchTones—even more so.