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Towards motivation-driven intelligent interfaces: Formal argumentation meets activity theory
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-6035-800x
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8430-4241
2021 (English)In: 2021 Swedish Artificial Intelligence Society Workshop (SAIS), IEEE, 2021, article id 9484008Conference paper, Published paper (Refereed)
Abstract [en]

Theories about human activity and motivation point out that motives are driving forces behind human activities and development of healthy and unhealthy habits. Activity theory is one of these that has been applied to develop activity-centered user interfaces. Activity theory differentiates between sense-making and stimuli-oriented types of motives that have a strong influence on our daily behavior. Two main challenges are explored in this paper: 1) the personalisation of graphical user interfaces to mediate representations of motivation-based activities to support behaviour change processes; and 2) the proactiveness of such visual representations.

As methods, we use activity theory as a framework for defining the motivations' dynamics, and formal argumentation theory as the underlying mechanism for interactive reasoning and decision-making in the process of generating the user interface.

Our contributions are two-folded: 1) a dynamic graphical user interface where the background responds to behaviors linked to sense-making motives, and the foreground to stimuli motivation; and 2) a non-monotonic reasoning mechanism endowing the user interface with proactiveness (not only react to the user interactions but trigger and direct attention to potential conflicts), and a motive-based behavior conflict resolution process. Future work includes user studies to explore how triggering of focus may create increased awareness in an individual of conflicting motives in daily activities and how this may support changes of unhealthy habits.

Place, publisher, year, edition, pages
IEEE, 2021. article id 9484008
Series
Artificial Intelligence Society Workshop (SAIS), Swedish
Keywords [en]
component, formatting, insert, style, styling
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:umu:diva-191371DOI: 10.1109/SAIS53221.2021.9484008ISI: 000855522600005Scopus ID: 2-s2.0-85111579284ISBN: 9781665442367 (electronic)OAI: oai:DiVA.org:umu-191371DiVA, id: diva2:1627693
Conference
33rd Annual Workshop of the Swedish Artificial Intelligence Society, SAIS 2021, Hybrid via Luleå, Sweden, June 14-16, 2021
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2018-01461Available from: 2022-01-14 Created: 2022-01-14 Last updated: 2023-09-05Bibliographically approved

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Guerrero, EstebanLindgren, Helena

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Total: 440 hits
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Citation style
  • apa
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