Reducing Partner’s Cognitive Load by Estimating the Level of Understanding in the Cooperative Game Hanabi

Eisuke Sato, Hirotaka Osawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hanabi is a cooperative game for ordering cards through information exchange, and has been studied from various cooperation aspects, such as self-estimation, psychology, and communication theory. Cooperation is achieved in terms of not only increased scores, but also reduced cognitive load for the players. Therefore, while evaluating AI agents playing a cooperative game, evaluation indexes other than scores must be considered. In this study, an agent algorithm was developed that follows the human thought process for guessing the AI’s strategy by utilizing the length of thinking time of the human player and changing the estimation reliability, and the influence of this agent on game scores, cognitive load, and human impressions of the agent was investigated. Thus, thinking time was used as an indicator of cognitive load, and the results showed that it is inversely proportional to the confidence of choice. Furthermore, it was found that the mean thinking time of the human player was shortened when the agent used the thinking time of the player, as compared with the estimation of the conventional agent, and this did not affect human impression. There was no significant difference in the achieved score and success rate of the estimation by changing the estimation reliability according to the thinking time. The above results suggest that the agent developed in this study could reduce the cognitive load of the players without influencing performance.

Original languageEnglish
Title of host publicationAdvances in Computer Games - 16th International Conference, ACG 2019, Revised Selected Papers
EditorsTristan Cazenave, Jaap van den Herik, Abdallah Saffidine, I-Chen Wu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages11-23
Number of pages13
ISBN (Print)9783030658823
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event16th International Conference on Advances in Computer Games, ACG 2019 - Macao, China
Duration: 2019 Aug 112019 Aug 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12516 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Advances in Computer Games, ACG 2019
Country/TerritoryChina
CityMacao
Period19/8/1119/8/13

Keywords

  • Agent
  • Cooperative game
  • Hanabi
  • Human–agent interaction

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Reducing Partner’s Cognitive Load by Estimating the Level of Understanding in the Cooperative Game Hanabi'. Together they form a unique fingerprint.

Cite this