title: Generating recipient-centered explanations about drug prescription.
abstract: In this paper we describe how we generated written explanations to 'indirect users' of a knowledge-based system in the domain of drug prescription. We call 'indirect users' the intended recipients of explanations, to distinguish them from the prescriber (the 'direct' user) who interacts with the system. The Explanation Generator was designed after several studies about indirect users' information needs and physicians' explanatory attitude in this domain. It integrates text planning techniques with ATN-based surface generation. A double modeling component enables adapting the information content, order and style to the indirect user to whom explanation is addressed. Several examples of computer-generated texts are provided, and they are contrasted with the physicians' explanations to discuss advantages and limits of the approach adopted.
authors.affiliation: Dipartimento di Informatica, Università di Bari, Italy.
authors.forename: B
authors.initials: B
authors.lastname: De Carolis
authors.forename: F
authors.initials: F
authors.lastname: de Rosis
authors.forename: F
authors.initials: F
authors.lastname: Grasso
authors.forename: A
authors.initials: A
authors.lastname: Rossiello
authors.forename: D C
authors.initials: DC
authors.lastname: Berry
authors.forename: T
authors.initials: T
authors.lastname: Gillie
mesh_terms: D004346:Drug Information Services; D011307:Drug Prescriptions; D004360:Drug Therapy, Computer-Assisted; D006801:Humans; D009323:Natural Language Processing; D010353:Patient Education as Topic