---
title: "Generating Discourse across Several User Models: Maximizing Belief while Avoiding Boredom and Overload"
authors:
  - "Ingrid Zukerman"
  - "Richard McConachy"
doi: ""
url: "https://ijcai.org/proceedings/1995/161"
pdf: "https://ijcai.org/proceedings/1995/0161.pdf"
venue: "Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence"
year: 1995
pages: "1251-1258"
track: "Natural Language"
keywords:
---

# Generating Discourse across Several User Models: Maximizing Belief while Avoiding Boredom and Overload

Ingrid Zukerman, Richard McConachy

*Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence*, pages 1251-1258.

## Abstract

In this paper we present a content planning system which takes into consideration a user 's boredom and cognitive overload. Our system applies a constraint-based optimization mechanism which maximizes a probabilistic function of a user's beliefs, and uses a representation of boredom and overload as constraints that affect the possible values of this function . Further, we discuss two orthogonal policies for relaxing the parameters of the communication process when these constraints are violated: conveying less ·information or breaking up the material into smaller chunks.