Core aspects of affective metacognitive user models

Authors:
Adam Moore;Victoria Macarthur;Owen Conlan
Affiliations:
KDEG, School of Computer Science and Statistics, Trinity College, Dublin, Republic of Ireland;KDEG, School of Computer Science and Statistics, Trinity College, Dublin, Republic of Ireland;KDEG, School of Computer Science and Statistics, Trinity College, Dublin, Republic of Ireland
Venue:
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Year:
2011

Citing 16
Cited 1

Cognitive tutors as modeling tools and instructional models

Smart machines in education
A model of textual affect sensing using real-world knowledge

Proceedings of the 8th international conference on Intelligent user interfaces
MAUI: a multimodal affective user interface

Proceedings of the tenth ACM international conference on Multimedia
Analysis of affect expressed through the evolving language of online communication

Proceedings of the 12th international conference on Intelligent user interfaces
Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor

International Journal of Artificial Intelligence in Education
Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring

Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Affective interaction: How emotional agents affect users

International Journal of Human-Computer Studies
Learning SQL Programming with Interactive Tools: From Integration to Personalization

ACM Transactions on Computing Education (TOCE)
Modeling Task-Based vs. Affect-based Feedback Behavior in Pedagogical Agents: An Inductive Approach

Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
MetaTutor: Analyzing Self-Regulated Learning in a Tutoring System for Biology

Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Intelligent tutoring systems: new challenges and directions

IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
User study on AffectIM, an avatar-based Instant Messaging system employing rule-based affect sensing from text

International Journal of Human-Computer Studies
Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features

User Modeling and User-Adapted Interaction
Designing affective computing learning companions with teachers as design partners.

Proceedings of the 3rd international workshop on Affective interaction in natural environments
Analyzing user modeling on twitter for personalized news recommendations

UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
User modeling in a distributed e-learning architecture

UM'05 Proceedings of the 10th international conference on User Modeling

Augmenting user models with real world experiences to enhance personalization and adaptation

UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling

Quantified Score

Hi-index	0.00

Visualization

Abstract

As user modelling moves away from a tightly integrated adjunct of adaptive systems and into user modelling service provision, it is important to consider what facets or characteristics of a user might need to be contained within a user model in order to support cognitive functions. Here we examine previous mechanisms for creating a metacognitive and affective user model. We then take first steps to describe the necessary characteristics of a user model we envisage being utilised by an affective metacognitive modelling service and make some suggestion for the source, form and content of such characteristics.