Applying adaptive social mobile agent to facilitate learning

Muneeb Imtiaz Ahmad; Omar Mubin

Applying adaptive social mobile agent to facilitate learning

Muneeb Imtiaz Ahmad
, Omar Mubin

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

In this paper, we present our idea about applying an adaptive social mobile agent in a game based scenario to support foreign language vocabulary learning. We hypothesize that through implementing an adaptive agent, we may mitigate the problem of a loss in child engagement or may also prolong the time a child takes to lose interest. We then present details on architecture and implementation of an adaptive social mobile agent.

Original language	English
Title of host publication	HRIÃ¢€™16: The Eleventh ACM/IEEE International Conference on Human Robot Interation: Proceedings, March 7-10, 2016, Christchurch, NZ
Publisher	IEEE
Pages	407-408
Number of pages	2
ISBN (Print)	9781467383707
Publication status	Published - 2016
Event	ACM/IEEE International Conference on Human-Robot Interaction - Duration: 7 Mar 2016 → …

Conference

Conference	ACM/IEEE International Conference on Human-Robot Interaction
Period	7/03/16 → …

Keywords

artificial intelligence
human-computer interaction
intelligent agents (computer software)

Cite this

@inproceedings{376bf7317ac148dd9ce91de8214d8298,

title = "Applying adaptive social mobile agent to facilitate learning",

abstract = "In this paper, we present our idea about applying an adaptive social mobile agent in a game based scenario to support foreign language vocabulary learning. We hypothesize that through implementing an adaptive agent, we may mitigate the problem of a loss in child engagement or may also prolong the time a child takes to lose interest. We then present details on architecture and implementation of an adaptive social mobile agent.",

keywords = "artificial intelligence, human-computer interaction, intelligent agents (computer software)",

author = "Ahmad, \{Muneeb Imtiaz\} and Omar Mubin",

year = "2016",

language = "English",

isbn = "9781467383707",

pages = "407--408",

booktitle = "HRI{\~A}¢€{\texttrademark}16: The Eleventh ACM/IEEE International Conference on Human Robot Interation: Proceedings, March 7-10, 2016, Christchurch, NZ",

publisher = "IEEE",

note = "ACM/IEEE International Conference on Human-Robot Interaction ; Conference date: 07-03-2016",

}

TY - GEN

T1 - Applying adaptive social mobile agent to facilitate learning

AU - Ahmad, Muneeb Imtiaz

AU - Mubin, Omar

PY - 2016

Y1 - 2016

N2 - In this paper, we present our idea about applying an adaptive social mobile agent in a game based scenario to support foreign language vocabulary learning. We hypothesize that through implementing an adaptive agent, we may mitigate the problem of a loss in child engagement or may also prolong the time a child takes to lose interest. We then present details on architecture and implementation of an adaptive social mobile agent.

AB - In this paper, we present our idea about applying an adaptive social mobile agent in a game based scenario to support foreign language vocabulary learning. We hypothesize that through implementing an adaptive agent, we may mitigate the problem of a loss in child engagement or may also prolong the time a child takes to lose interest. We then present details on architecture and implementation of an adaptive social mobile agent.

KW - artificial intelligence

KW - human-computer interaction

KW - intelligent agents (computer software)

UR - http://handle.uws.edu.au:8081/1959.7/uws:35031

UR - http://dl.acm.org/citation.cfm?id=2906831&picked=prox&CFID=614746085&CFTOKEN=95965271

M3 - Conference Paper

SN - 9781467383707

SP - 407

EP - 408

BT - HRIÃ¢€™16: The Eleventh ACM/IEEE International Conference on Human Robot Interation: Proceedings, March 7-10, 2016, Christchurch, NZ

PB - IEEE

T2 - ACM/IEEE International Conference on Human-Robot Interaction

Y2 - 7 March 2016

ER -

Applying adaptive social mobile agent to facilitate learning

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this