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An activity-centric argumentation framework for assistive technology aimed at improving health
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
2016 (Engelska)Ingår i: Argument & Computation, ISSN 1946-2174, Vol. 7, nr 1, s. 5-33Artikel i tidskrift (Refereegranskat) Published
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.

Ort, förlag, år, upplaga, sidor
IOS Press, 2016. Vol. 7, nr 1, s. 5-33
Nyckelord [en]
Argumentation, decision-making, assisted living systems, activity theory, mobile, Cultural-Historical Activity Theory, activity recognition
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
administrativ databehandling
Identifikatorer
URN: urn:nbn:se:umu:diva-120278DOI: 10.3233/AAC-160004ISI: 000390247800003OAI: oai:DiVA.org:umu-120278DiVA, id: diva2:927877
Tillgänglig från: 2016-05-13 Skapad: 2016-05-13 Senast uppdaterad: 2018-06-07Bibliografiskt granskad
Ingår i avhandling
1. Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach
Öppna denna publikation i ny flik eller fönster >>Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach
2016 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Umeå: Umeå University, 2016. s. 60
Serie
Report / UMINF, ISSN 0348-0542 ; 16.15
Nyckelord
Complex activity, Argumentation Theory, Activity Theory, Logic programming, Knowledge representation, Common-sense reasoning, Artificial Intelligence
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
administrativ databehandling
Identifikatorer
urn:nbn:se:umu:diva-120272 (URN)978-91-7601-503-2 (ISBN)
Disputation
2016-06-07, MA121, MIT Huset, Umeå University campus, Umeå, 13:15 (Engelska)
Opponent
Handledare
Tillgänglig från: 2016-05-17 Skapad: 2016-05-13 Senast uppdaterad: 2018-06-07Bibliografiskt granskad

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Guerrero, EstebanNieves, Juan CarlosLindgren, Helena

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