Quantitative Guidelines for Telephone Information Systems

Abstract

The results of four sequential experiments were combined into integrated empirical models using data bridging. The resulting regression models can be viewed as quantitative design guidelines for telephone-based information systems. A total of ten independent variables involving environmental, hardware, dialogue, and user factors were considered across the four sequential studies that evaluated a telephone-based interface. Three dependent variables including total search time, user added keypresses, and message transcription accuracy were evaluated in each separate study. Polynomial regression was used to generate an integrated second-order empirical model for each of the three dependent variables. The major contributors to total search time were the time delay between the presentation of each menu item (input timeout) and the structure of the menus. Age of the user and menu structure were the primary contributors to user added keypresses required to recover from errors. Overall, the accuracy of message transcription was influenced primarily by background music, presentation rate of the synthesized speech, and the age of the user. Total search time in this sequential type of information delivery system is primarily dialogue driven. Critical dialogue parameters for this system were input timeout and the number of alternatives in menus. Due to the small number of errors in searching for information, the need to minimize user added keypresses for error correction was not of primary design importance. Accuracy of speech message transcriptions was primarily dependent upon the acoustical environment of the listener. Overall, the use of integrated empirical models offers several advantages including a basis for generalization across several studies and the ability to conduct specific interface design tradeoffs.