Scaffolding Open Text Input in a Scripted Communication Skills Learning Environment

Raja Lala*, Johan Jeuring, Marcell van Geest

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


Serious games, as well as entertainment games, often employ a scripted dialogue for player interaction with a virtual character. In our serious game Communicate, a domain expert develops a structured, scripted scenario as a sequence of potential interactions in an authoring tool. Communicate is widely used and several domain experts have already developed over a thousand scenarios. In the original version of Communicate, a student `navigates' a dialogue with a virtual character by clicking one of the multiple statement options at a step of a scenario. Open text response often requires more complex thinking from a student. In this paper we explore ways to handle open text input from a student at a step of a scenario. Our goal is to match open text to scripted statements using a Natural Language Processing (NLP) method and explore mechanisms to handle matched and unmatched input.
Original languageEnglish
Title of host publicationGames and Learning Alliance
Subtitle of host publication8th International Conference, GALA 2019, Athens, Greece, November 27–29, 2019, Proceedings
EditorsAntonios Liapis, Georgios N. Yannakakis, Manuel Gentile, Manuel Ninaus
Place of PublicationCham
PublisherSpringer International Publishing AG
Number of pages11
ISBN (Electronic)9783030343507
ISBN (Print)9783030343491
Publication statusPublished - 1 Nov 2019
Event8th International Conference on Games and Learning Alliance - Athens, Greece
Duration: 27 Nov 201929 Nov 2019

Publication series

SeriesLecture Notes in Computer Science


Conference8th International Conference on Games and Learning Alliance
Abbreviated titleGALA 2019


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