Using role-play and Hierarchical Task Analysis for designing human-robot interaction

Research output: Chapter in Book/Conference proceedingPublished conference proceedingScientificpeer-review

Abstract

We present the use of two methods we believe warrant more use than they currently have in the field of human-robot interaction: role-play and Hierarchical Task Analysis. Some of its potential is showcased through our use of them in an ongoing research project which entails developing a robot application meant to assist at a community pharmacy. The two methods have provided us with several advantages. The role-playing provided a controlled and adjustable environment for understanding the customers’ needs where pharmacists could act as models for the robot’s behavior; and the Hierarchical Task Analysis ensured the behavior displayed was modelled correctly and aided development through facilitating co-design. Future research could focus on developing task analysis methods especially suited for social robot interaction.

Original languageEnglish
Title of host publicationSocial Robotics - 16th International Conference, ICSR + AI 2024, Proceedings
Editors Oskar Palinko , Leon Bodenhagen , John-John Cabibihan, Kerstin Fischer , Selma Šabanović, Katie Winkle, Laxmidhar Behera, Shuzhi Sam Ge, Dimitrios Chrysostomou, Wanyue Jiang, Hongsheng He
PublisherSpringer
Pages319-328
ISBN (Electronic)978-981-96-3522-1
ISBN (Print)9789819635214
DOIs
Publication statusPublished - 25 Apr 2025
MoE publication typeA4 Article in a conference publication

Publication series

NameLecture Notes in Computer Science
Volume15561 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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