The study of simple talk and silence indices that characterize conversation is limited by the costly, "labor-intensive" character of data collection and analysis. In the face of results demonstrating the significance of these data in interpersonal judgments (Hayes & Meltzer, 1972; Lustig, Note I), more efficient collection, storage, and analysis methods are required. This report describes a hardware and software system, FIASSCO, that collects, stores, and analyzes two-person separate-channel audio-recorded conversations for various indices of talk and silence. Data output are both continuous and discrete measures in time sequence. Further, data on the validity and reliability of FIASSCO output are provided along with sample analyses of computer results.This report presents a computer-assisted method of coding and analyzing sound-silence patterns in dyadic relationships. Specifically. it details the procedures used at the University of Wisconsin's Center for Communication Research for automatically recording, digitizing, storing, and analyzing the sound-silence patterns that are found in dyadic communication. These procedures have been developed as an integrated research approach by utilizing the potential of the center's PDP·12 computer. A discussion of how the various programs analyze a sample dyad and a reliability test of these analyses are presented.
THEORY AND RATIONALEIt is reasonable to ask if the intensive study of simple, naked behaviors such as talk and silence is likely to offer any practical insight into interpersonal communication situations. An extensive review of the literature on simple talk and silence indices by Lustig (Note 1) produces the following: Talkative persons are more productive (Norfleet, 1948), more task oriented