A Multipurpose Goal Model for Personalised Digital Coaching

Baskar, Jayalakshmi; Janols, Rebecka; Guerrero, Esteban; Nieves, Juan Carlos; Lindgren, Helena

doi:10.1007/978-3-319-70887-4_6

Cited by 10 publications

(10 citation statements)

References 41 publications

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“…In the work of Diano Federico et al referred in [18] it is presented an state of the art in mindfulnessbased mobile applications and the design of a mindfulness mobile application to help emotional self-regulation in people suffering stressful situations. We invite the reader to check the work of Baskar Jayalakshmi et al referred in [2] where it is reported a comparison of Applied Agents implemented for improving mental health and wellbeing.…”

Section: Applied Chat-bots For Mental Health Well-beingmentioning

confidence: 99%

Creative Composition Problem: A Knowledge Graph Logical-Based AI Construction and Optimization Solution

Galindo

Moreno²

2021

Lecture Notes in Computer Science

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Contribution of this work is to Define the Creative Composition Problem (CCP) for Human Well-being Optimization by Construction of Knowledge Graph using Knowledge Representation and logic-based Artificial Intelligence reasoning-planning where the computation of the Optimal Solution is achieved by Dynamic Programming or Logic Programming. The Creative Composition Problem is embedded within Cecilia: an architecture of a digital companion artificial intelligence agent system composer of dialogue scripts for Well-being and Mental Health. Where Cecilia Framework is instantiated in Well-being and Mental Health domain for optimal well-being development of first year university students. We define the ‘The Problem of Creating a Dialogue Composition (PCDC)’ and we propose a feasible and optimal solution of it. CCP is instantiated in this applied domain to solve PCDC optimizing the Mental Health and Well-being of the student. CCP as PCDC is applied to optimize maximizing the mental health of the student but also maximizing the smoothness, coherence, enjoyment and engagement each time the dialogue session is composed. Cecilia helps students to manage stress/anxiety to attempt the prevention of depression. Students can interact through the digital companion making questions and answers. While the system “learns” from the user it allows the user to learn from herself. Once the student discovers elements that were unnoticed by her, she will find a better way to improve when discovering her points of improvement.

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Section: Applied Chat-bots For Mental Health Well-beingmentioning

confidence: 99%

Creative Composition Problem: A Knowledge Graph Logical-Based AI Construction and Optimization Solution

Galindo

Moreno²

2021

Lecture Notes in Computer Science

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“…The user model adapted for the stress management purpose extends a user model developed as part of our earlier work to incorporate emotions [5,25]. The initial version of the user model is based on the International Classification of Functioning, Disability and Health (ICF) 1 .…”

Section: User Modelmentioning

confidence: 99%

“…The TUI agent and the companion agent are built using the BDI framework [11], providing each agent the basic constructs of intelligent agents: beliefs (the agent's knowledge about the user and a situation), desires (corresponding to its goals and their priorities), and intentions (corresponding to plans, also with priorities regarding how to act). The reason to build a distributed architecture including different agents is to allow the agents to have different belief bases and sets of goals and priorities, corresponding to their different purposes and roles [5,6]. The TUI agent's main role is to manage the TUI, interpret the sensor input data into information about the emotions, communicate sub-sets of the information to the actor repository available to the companion agent, and provide input to the companion agent that may activate its reasoning and acting.…”

Section: Proposed Agent Architecturementioning

confidence: 99%

“…When sensing some emotion the human agent could interact with their personalised TUI, which activates the TUI agent to interpret the data and passes on information, and activates the companion agent. The companion agent then composes a situated user model based on the new and earlier information, and information about the current situation [5]. By connecting the information about the user with a knowledge base relating to stress and wellbeing, personalised feedback can be generated that is tailored to the situation and the ongoing activity, to the extent the system has information about the context.…”

Section: Proposed Agent Architecturementioning

confidence: 99%

“…a mobile phone. The TUI in turn could have its own feedback loop for the purpose to provide immediate affirmation of the user's actions as a kind of non-verbal support dialogue [5].…”

Section: Proposed Agent Architecturementioning

confidence: 99%

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Tangible Communication of Emotions with a Digital Companion for Managing Stress

Jingar

Lindgren

2019

Proceedings of the 7th International Conference on Human-Agent Interaction

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The purpose of this research is to explore how an intelligent digital companion (agent) can support persons (human) with stress-related exhaustion to manage daily activities. In this paper, we explore in particular how information about a person's emotions can be communicated to the agent with means of non-verbal communication through tangible interfaces. The purpose is to explore how different individuals approach the task of designing their own tangible interfaces for communicating emotions with a digital companion, and the range of different preferences and expectations. Six participants were interviewed and created tangible prototypes during a co-creation workshop. The data was analysed using theories about human emotions and activity, and translated into a generic user model, an architecture for a multiagent system and interface design proposals. The results include increased understanding of how different individuals would like to express their emotions with tangible interfaces, and informed the design of the information models regarding representing emotions. The study illuminated the importance of personalisation of functionality and interface design to address the diversity among individuals, as well as the design of the adaptive behaviour of a digital companion. Future work includes further studies involving additional participants, the development of the stress management application and conducting user studies where prototypes are used in daily activities. CCS CONCEPTS • Human-centered computing → User models; Participatory design; Interface design prototyping; • Computing methodologies → Multi-agent systems; Intelligent agents.

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