Instrument-Oriented Approach to Detecting and Representing Human Activity for Supporting Executive Functions and Learning

The goal of this study is to develop a computer-interpretable model for activity detection and representation, based on existing informal models of how humans perform activity. Appropriate detection of purposeful human activity is an essential functionality of active assistive technology aiming at providing tailored support to individuals for improving activity performance and completion. The main contribution is the design of a model for detection and representation of human activities based on three categories of instruments, which is implemented as two generic and supplementary terminology models: an event ontology and a core ontology. The core ontology is extended for each new knowledge domain into a domain ontology. The model builds the base for personalization of services generated by the cooperative reasoning performed by a human collaborating with an intelligent and social software agent. Ongoing and future work includes user studies in the different application domains.

[1]  Kenneth Meijer,et al.  Activity identification using body-mounted sensors—a review of classification techniques , 2009, Physiological measurement.

[2]  Helena Lindgren,et al.  Detecting Learning and Reasoning Patterns in a CDSS for Dementia Investigation , 2015, MIE.

[3]  Vicent J. Botti,et al.  receteame.com: A Persuasive Social Recommendation System , 2014, PAAMS.

[4]  Helena Lindgren,et al.  Kitchen AS-A-PAL: Exploring Smart Objects as Containers, Surfaces and Actuators , 2013, ISAmI.

[5]  Viviana Mascardi,et al.  A Comparison of Upper Ontologies , 2007, WOA.

[6]  David Sánchez,et al.  Agents applied in health care: A review , 2010, Int. J. Medical Informatics.

[7]  James A. Landay,et al.  The Mobile Sensing Platform: An Embedded Activity Recognition System , 2008, IEEE Pervasive Computing.

[8]  Miquel Sànchez-Marrè,et al.  iTutorials for the Aid of Cognitively Impaired Elderly Population , 2010, eHealth.

[9]  Ingeborg Nilsson,et al.  Towards user-authored agent dialogues for assessment in personalised ambient assisted living , 2013, Int. J. Web Eng. Technol..

[10]  Lillemor Lundin-Olsson,et al.  End Users Transforming Experiences into Formal Information and Process Models for Personalised Health Interventions , 2014, MIE.

[11]  Qi Gao,et al.  Analyzing user modeling on twitter for personalized news recommendations , 2011, UMAP'11.

[12]  Esteban Guerrero,et al.  An activity-centric argumentation framework for assistive technology aimed at improving health , 2016, Argument Comput..

[13]  Juan Carlos Nieves,et al.  A Multi-agent System for Nested Inquiry Dialogues , 2014, PAAMS.

[14]  Jiahui Liu,et al.  Personalized news recommendation based on click behavior , 2010, IUI '10.

[15]  E. Deci,et al.  Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. , 2000, The American psychologist.

[16]  Helena Lindgren,et al.  Human-Agent Dialogues on Health Topics - An Evaluation Study , 2015, PAAMS.

[17]  D. Walton,et al.  Commitment in Dialogue: Basic Concepts of Interpersonal Reasoning , 1995 .

[18]  Esteban Guerrero,et al.  Computer-Supported Assessment for Tailoring Assistive Technology , 2016, Digital Health.

[19]  James A. Hendler,et al.  The Semantic Web" in Scientific American , 2001 .

[20]  Henry A. Kautz,et al.  Inferring activities from interactions with objects , 2004, IEEE Pervasive Computing.

[21]  Franco Zambonelli,et al.  Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection , 2014, Lecture Notes in Computer Science.

[22]  Martha E. Pollack,et al.  Autominder: an intelligent cognitive orthotic system for people with memory impairment , 2003, Robotics Auton. Syst..

[23]  Helena Lindgren,et al.  Cognitive Architecture of an Agent for Human-Agent Dialogues , 2014, PAAMS.

[24]  Helena Lindgren,et al.  Domain Experts Tailoring Interaction to Users - An Evaluation Study , 2011, INTERACT.

[25]  Floriana Grasso,et al.  Generation of Personalised Advisory Messages: An Ontology Based Approach , 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

[26]  Huajun Chen,et al.  The Semantic Web , 2011, Lecture Notes in Computer Science.

[27]  Esteban Guerrero,et al.  A Pilot Study on Personalised Coaching to Increase Older Adults' Physical and Social Activities , 2017, ISAmI.

[28]  C. Kennedy,et al.  Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review , 2012, Journal of medical Internet research.

[29]  Diane J. Cook,et al.  "Intelligent Environments: a manifesto" , 2013, Human-centric Computing and Information Sciences.

[30]  V. Kaptelinin.  Activity theory: implications for human-computer interaction , 1995 .

[31]  Sylvain Giroux,et al.  Personalization in Smart Homes for Disabled People , 2008, 2008 Second International Conference on Future Generation Communication and Networking.

[32]  Arkady B. Zaslavsky,et al.  Complex Activity Recognition Using Context Driven Activity Theory in Home Environments , 2011, NEW2AN.

[33]  Helena Lindgren,et al.  Evaluation of a Semantic Web Application for Collaborative Knowledge Building in the Dementia Domain , 2010, eHealth.