umu.sePublications
Change search
ReferencesLink to record
Permanent link

Direct link
An Activity-Centric Argumentation Framework for Assistive Technology Aimed at Improving Health
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)In: Argument & Computation, ISSN 1946-2174, 1-29 p.Article in journal (Refereed) In press
Abstract [en]

Tailoring assistive systems for guiding and monitoring an individual in daily living activities is a complex task. This paper presents ALI, an assistive system combining a formal possibilistic argumentation system and an informal model of human activity: the Cultural-Historic Activity Theory, facilitating the delivery of tailored advices to a human actor. We follow an activity-centric approach, taking into consideration the human’s motives, goals and prioritized actions. ALI tracks a person in order to I) determine what activities were performed over a period of time (activity recognition tracking), and II) send personalized notifications suggesting the most suitable activities to perform (decision-making monitoring). The ALI system was evaluated in a formative pilot study related to promote social activities and physical exercise.

Place, publisher, year, edition, pages
IOS Press, 2016. 1-29 p.
Keyword [en]
Argumentation, decision-making, assisted living systems, activity theory, mobile, Cultural-Historical Activity Theory, activity recognition
National Category
Computer Science
Research subject
Computing Science
Identifiers
URN: urn:nbn:se:umu:diva-120278DOI: 10.3233/AAC-160004OAI: oai:DiVA.org:umu-120278DiVA: diva2:927877
Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2016-05-18
In thesis
1. Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach
Open this publication in new window or tab >>Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The aim of this thesis is to develop theories and formal methods to endow a computing machinery with capabilities to identify, represent, reason and evaluate complex activities that are directed by an individual’s needs, goals, motives, preferences and environment, information which can be inconsistent and incomplete.

Current methods for formalising and reasoning about human activity are typically limited to basic actions, e.g., walking, sitting, sleeping, etc., excluding elements of an activity. This research proposes a new formal activity-centric model that captures complex human activity based on a systemic activity structure that is understood as a purposeful, social, mediated, hierarchically organized and continuously developing interaction between people and word.

This research has also resulted in a common-sense reasoning method based on argumentation, in order to provide defeasible explanations of the activity that an individual performs based on the activity-centric model of human activity. Reasoning about an activity is based on the novel notion of an argument under semantics-based inferences that is developed in this research, which allows the building of structured arguments and inferring consistent conclusions.

Structured arguments are used for explaining complex activities in a bottom-up manner, by introducing the notion of fragments of activity. Based on these fragments, consistent argumentation based interpretations of activity can be generated, which adhere to the activity-centric model of complex human activity.

For resembling the kind of deductive analysis that a clinician performs in the assessment of activities, two quantitative measurements for evaluating performance and capacity are introduced and formalized. By analysing these qualifiers using different argumentation semantics, information useful for different purposes can be generated. e.g., such as detecting risk in older adults for falling down, or more specific information about activity performance and activity completion. Both types of information can form the base for an intelligent machinery to provide tailored recommendation to an individual.

The contributions were implemented in different proof-of-concept systems, designed for evaluating complex activities and improving individual’s health in daily life. These systems were empirically evaluated with the purpose of evaluating theories and methodologies with potential users. The results have the potential to be utilized in domains such as ambient assisted living, assistive technology, activity assessment and self-management systems for improving health.

Place, publisher, year, edition, pages
Umeå: Umeå University, 2016. 60 p.
Series
Report / UMINF, ISSN 0348-0542 ; 16.15
Keyword
Complex activity, Argumentation Theory, Activity Theory, Logic programming, Knowledge representation, Common-sense reasoning, Artificial Intelligence
National Category
Computer Science
Research subject
Computing Science
Identifiers
urn:nbn:se:umu:diva-120272 (URN)978-91-7601-503-2 (ISBN)
Public defence
2016-06-07, MA121, MIT Huset, Umeå University campus, Umeå, 13:15 (English)
Opponent
Supervisors
Available from: 2016-05-17 Created: 2016-05-13 Last updated: 2016-05-26Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full texthttp://content.iospress.com/articles/argument-and-computation/aac004

Search in DiVA

By author/editor
Guerrero, EstebanNieves, Juan CarlosLindgren, Helena
By organisation
Department of Computing Science
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 160 hits
ReferencesLink to record
Permanent link

Direct link