POMDP based action planning and human error detection

Emilie M.D. Jean-Baptiste, Pia Rotshtein, Martin Russell

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

Abstract

This paper presents a Partially Observable Markov Decision Process (POMDP) model for action planning and human errors detection, during Activities of Daily Living (ADLs). This model is integrated into a sub-component of an assistive system designed for stroke survivors; it is called the Artificial Intelligent Planning System (AIPS). Its main goal is to monitor the user’s history of actions during a specific task, and to provide meaningful assistance when an error is detected in his/her sequence of actions. To do so, the AIPS must cope with the ambiguity in the outputs of the other system’s components. In this paper, we first give an overview of the global assistive system where the AIPS is implemented, and explain how it interacts with the user to guide him/her during tea-making. We then define the POMDP models and the Monte Carlo Algorithm used to learn how to retrieve optimal prompts, and detect human errors under uncertainty.

Original languageEnglish
Title of host publicationArtificial Intelligence Applications and Innovations - 11th IFIPWG 12.5 International Conference, AIAI 2015, Proceedings
EditorsRichard Chbeir, Ilias Maglogiannis, Yannis Manolopoulos, Reda Alhajj
PublisherSpringer New York LLC
Pages250-265
Number of pages16
ISBN (Print)9783319238678
DOIs
StatePublished - 2015
Externally publishedYes
Event11th IFIPWG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2015 - Bayonne, France
Duration: 14 Sep 201517 Sep 2015

Publication series

NameIFIP Advances in Information and Communication Technology
Volume458
ISSN (Print)1868-4238

Conference

Conference11th IFIPWG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2015
Country/TerritoryFrance
CityBayonne
Period14/09/1517/09/15

Bibliographical note

Publisher Copyright:
© IFIP International Federation for Information Processing 2015.

Keywords

  • Assistive Technology
  • POMDP
  • Planning Under Uncertainty

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

Fingerprint

Dive into the research topics of 'POMDP based action planning and human error detection'. Together they form a unique fingerprint.

Cite this