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Träfflista för sökning "WFRF:(Guerrero Esteban) "

Sökning: WFRF:(Guerrero Esteban)

  • Resultat 1-10 av 35
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2.
  • Dragoni, Mauro, et al. (författare)
  • An ontology-based coaching solution for increasing self-awareness of own functional status
  • 2021
  • Ingår i: CEUR Workshop Proceedings. - : CEUR-WS. ; , s. 1-11
  • Konferensbidrag (refereegranskat)abstract
    • Functional Status Information (FSI) describes physical and mental wellness at the whole-person level, and includes information on activity performance, social role participation, and environmental and personal factors that affect well-being and quality of life. Collecting and analyzing this information is critical to addressing the data needs in caring for aging global populations, and providing effective care for individuals with chronic conditions, multi-morbidity, and disability. In this paper, we present a first step towards the design of Al-enabled system increasing the self-awareness of own functional status. In particular, we focus on the underlying semantic layer of the such an Al-enabled system by presenting two modules extending the HeLiS ontology aiming (i) to represent barriers in improving own functional status and (ii) to support the conceptual representation of the arguments leading to the detection of such barriers. Finally, we show through a running example how these modules can be instantiated.
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  • Guerrero, Esteban, et al. (författare)
  • Activity qualifiers in an argumentation framework as instruments for agents when evaluating human activity
  • 2016
  • Ingår i: Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection. - Cham : Springer. - 9783319393230 - 9783319393247 ; , s. 133-144
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • Theoretical frameworks have been developed for enabling software agents to evaluate simple activities such as walking and sitting. However, such frameworks typically do not include methods for how practically dealing with uncertain sensor information. We developed an argument-based method for evaluating complex goal-based activities by adapting two qualifiers: Performance and Capacity defined in the health domain. The first one evaluates what a person does, and the second one how "well" or "bad" an activity is executed. Our aim is to deal with uncertainty and inconsistent information; generate consistent hypotheses about the activity execution; and resemble an expert therapist judgment, where an initial hypothesis assessment can be retracted under new evidence. We conducted a pilot test in order to evaluate our approach using a Physiotherapy assessment test as a goal-based activity. Results show that skeptic argumentation semantics are may be useful for discriminating individuals without physical issues by considering Performance and Capacity; conversely, credulous semantics may be suitable for obtaining information in the evaluation of activity, which an intelligent agent may use for providing personalized assistance in an ambient assisted living environment.
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4.
  • Guerrero, Esteban, et al. (författare)
  • Activity qualifiers using an argument-based construction
  • 2018
  • Ingår i: Knowledge and Information Systems. - : Springer. - 0219-1377 .- 0219-3116. ; 54:3, s. 633-658
  • Tidskriftsartikel (refereegranskat)abstract
    • Based on an argumentation theory approach, we present a novel method for evaluating complex goal-based activities by generalizing a notion of qualifier defined in the health domain. Three instances of the general qualifier are proposed: Performance, Actuation and Capacity; the first one evaluates what a person does, the second how an individual follows an action plan, and the third one how "well" or "bad" an activity is executed. Qualifiers are intended to be used by autonomous systems for evaluating human activity. We exemplify our approach using a health domain assessment protocol. Main results of this test show a partial correlation between ambiguities assessed by experts and our argument-based approach; and a multi-dimensional perspective how an activity is executed when a combined evaluation of qualifiers is used. This last outcome was interesting for some therapists consulted. Results also show differences between values of qualifiers using different argumentation semantics; two scenarios were proposed by therapist for using different semantics: preliminary activity screening and time-span follow-up evaluation.
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5.
  • Guerrero, Esteban, et al. (författare)
  • ALI : an Assisted Living System for Persons with Mild Cognitive Impairment
  • 2013
  • Ingår i: 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2013). - : IEEE Computer Society. - 9781479910533 ; , s. 526-527
  • Konferensbidrag (refereegranskat)abstract
    • We introduce the Assisted Living system ALI, which is a novel approach to providing assistance and support in activities of daily life. We integrate a human behavior theory with a default reasoning decision making framework. This integration allows us to model a decision making problem from a human activity centric point of view and at the same time, formalize these elements using a possibilistic argumentation theory. ALI sends personalized notifications suggesting the most suitable activities to perform and determines what activities were performed during a time period.
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  • Guerrero, Esteban, et al. (författare)
  • An activity-centric argumentation framework for assistive technology aimed at improving health
  • 2016
  • Ingår i: Argument & Computation. - : IOS Press. - 1946-2174. ; 7:1, s. 5-33
  • Tidskriftsartikel (refereegranskat)abstract
    • 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.
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  • Guerrero, Esteban, et al. (författare)
  • Autonomous adaptation of software agents in the support of human activities
  • 2018
  • Ingår i: Joint Workshop on AI in Health. - : CEUR-WS. ; , s. 144-156
  • Konferensbidrag (refereegranskat)abstract
    • This paper is aimed at formalizing the interplay among a person to be assisted, an assistive agent-based software, and a caregiver. We propose principles that agents should follow in such interplay, this principles may have impact in different agent-based assistive technology. We propose a mechanism to integrate individual’s information into the final decision-making process of an agent. Moreover, we endow agents with mechanisms for evaluating the distance between independent and supported activity execution, the so called zone of proximal development (ZPD) in four scenarios: I) independent activity execution by a person; II) ZPDH activity performance of a person supported by another person (e.g. a therapist); III) the ZPDS representing a potential activities when a person is supported by a software agent; and IV) the ZPDH+S when a person is supported by a caregiver and a software agent. Formal argumentation theory is used as foundation. Our formal models were tested using a prototype using augmented reality as assistive software. A pilot study with older adults and health-care personnel was performed and formal and empirical results are presented.
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