Users Request Help From Advisory Systems With Simple and Restricted Language: Effects of Real-Time Constraints and Limited Shared Context

Publisher Website
Google Scholar
Abstract
In this descriptive and exploratory study, 32 users type help requests to what they believe is a computerized advisor. In fact, the advisor is a human mimicking realistic levels of intelligence and knowledge that can be expected from a computerized advisor. Results show that users request help with a very simple and restricted language that is characteristic of language generated under real-time production constraints and of child language. Moreover, users' utterances are frequently ungrammatical. It is hypothesized that these features arise from factors intrinsic to typed advisory situations: Users are performing a primary task under real-time constraints, and typing help requests is a secondary task. On the other hand, users refer to objects and events with very precise descriptions instead of faster-to-type pronouns; they produce very few ellipses and deictic expressions. Future research should elucidate whether shared context between users and computerized advisors needs to be richer than created in t...

This publication has 14 references indexed in Scilit: