A Design Framework for Instrumenting Analytic Provenance for Problem-Solving Tasks
Autor: | Pierre Morizet-Mahoudeaux, Lingxue Yang, Assia Mouloudi, Anne Guenand |
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Přispěvatelé: | Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Roberval (Roberval), Université de Technologie de Compiègne (UTC) |
Rok vydání: | 2018 |
Předmět: |
Visual analytics
Computer science [SHS.INFO]Humanities and Social Sciences/Library and information sciences media_common.quotation_subject 02 engineering and technology perception Task (project management) 03 medical and health sciences 0302 clinical medicine Mode (computer interface) User experience design Human–computer interaction 0202 electrical engineering electronic engineering information engineering analytic provenance [INFO]Computer Science [cs] [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] Function (engineering) history path media_common business.industry Context (computing) 020207 software engineering design of a coupling device Analytics UX design User interface business 030217 neurology & neurosurgery |
Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9789811086113 7th International Conference on Kansei Engineering and Emotion Research 2018 (KEER 2018) 7th International Conference on Kansei Engineering and Emotion Research 2018 (KEER 2018), Mar 2018, Kuching, Sarawak, Malaysia. pp.633-643, ⟨10.1007/978⟩ |
DOI: | 10.1007/978-981-10-8612-0_66 |
Popis: | International audience; In the context of analytics applications, the recall of interaction historyoften happens when users are identifying the root causes of a given problembased on a visual analytics task, which can be interrupted or suspended. The researchof analytic provenance focuses on retrieving users’ interaction history,reinstating their reasoning process so that they can quickly resume an interruptedor suspended task. Although many visualization analytic tools are available,they lack extended capabilities for giving access to users’ interaction history ina natural coupling with their actions. We propose a design framework for instrumentinganalytic provenance in a mode allowing users to “re-commit” totheir tasks. We realize a first experiment to see how one's history activities hasan impact on the way he/she resolves the task. We investigate the interactionpossibilities of two design approaches: the user interface (UI) design in whichthe history path is considered as “put down” in the environment; the user experience(UX) design considers it as a coupling device between the user and theworld, being “in hand” mode. The first part of our analysis shows that users usethe history path for supporting their reasoning process. However, the indirectcoupling between users’ actions and provenance function keeps them outside ofthe history path so that they cannot easily link it to their current problem. Wehypothesize that the "in hand" mode of interaction history will allow a naturalcoupling between a user’s action and the provenance function, which may leadto a positive user experience. We then propose the lines for designing dynamichistory path interaction tools. |
Databáze: | OpenAIRE |
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