Etnografisch onderzoek onder collega’s; voortdurende spanning tussen betrokkenheid en distantie

Dit artikel gaat over de spanning tussen ‘betrokkenheid’ en ‘distantie’ verbonden aan participerende observatie binnen een onderzoeksproject dat wordt uitgevoerd door collega- onderzoekers

Towards Autocomplete Strategies for Visualization Construction

Constructive visualization uses physical data units - tokens - to enable non-experts to create personalized visualizations engagingly. However, its physical nature limits efficiency and scalability. One potential solution to address this issue is autocomplete. By providing automated suggestions while still allowing for manual intervention, autocomplete can expedite visualization construction while maintaining expressivity. We conduct a speculative design study to examine how people would like to interact with a visualization authoring system that supports autocomplete. Our study identifies three types of autocomplete strategies and gains insights for designing future visualization authoring tools with autocomplete functionality. A free copy of this paper and all supplemental materials are available on our online repository https://osf.io/nu4z3/?view_only=594baee54d114a99ab381886fb32a126Comment: 5 pages, 4 figure

Do You See What You Mean? Using Predictive Visualizations to Reduce Optimism in Duration Estimates

International audienceMaking time estimates, such as how long a given task might take, frequently leads to inaccurate predictions because of an optimistic bias. Previous attempts to alleviate this bias, including decomposing the task into smaller components and listing potential surprises, have not shown any major improvement. This article builds on the premise that these procedures may have failed because they involve compound probabilities and mixture distributions which are difficult to compute in one's head. We hypothesize that predictive visualizations of such distributions would facilitate the estimation of task durations. We conducted a crowdsourced study in which 145 participants provided different estimates of overall and sub-task durations and we used these to generate predictive visualizations of the resulting mixture distributions. We compared participants' initial estimates with their updated ones and found compelling evidence that predictive visualizations encourage less optimistic estimates

Visualization-Mediated Alleviation of the Planning Fallacy

International audienceThe planning fallacy, i.e., people’s tendency to underestimate the time required to complete a project despite past failures, is ubiquitous and resistant to coping strategies. We propose scenarios where visualizations may help alleviate this problem, motivated by previous research in psychology. We hope that with the help of visualizations, people will become more reliable in their judgments and work together in a way that is both more productive and more gratifying

How to Visualize Food Quantities to Prevent Food Waste? Examples and Challenges

International audienceFood quantity management involves planning and predicting in one's daily life. One has to estimate how much needs to be bought, how much the people eating together will want to eat, and how much needs to be prepared to have enough but not too much either. Wasting food raises sustainability and financial challenges. We present some of the issues linked to poor food management and then suggest two ways in which visualization may address two of them: over-buying and over-preparing. Finally, we discuss current limitations in order to identify future directions and research questions

Visualisation physique et tangible de l'information

Les visualisations, dans le sens général de représentations externes et physiques de données, sont plus anciennes que l'invention de l'écriture. De manière générale, les représentations externes encouragent la cognition et la pensée visuelle, et nous avons développé des savoir-faire pour les créer et les exploiter. La révolution informatique a augmenté la quantité de données qu'il est possible de collecter et de traiter, et a diversifié les façons de les représenter visuellement. Les systèmes de visualisation assistés par ordinateur, et étudiés dans le domaine de la visualisation d'information, sont aujourd'hui si puissants et complexes que nous avons besoin de techniques d'interaction très sophistiqués. Grâce au développement des possibilités technologiques au-delà des ordinateurs de bureau, un large éventail d'utilisations émerge. Non seulement des surfaces d'affichage de formes et de tailles variées permettent de montrer des visualisations plus riches, mais aussi des dispositifs d'entrée de nouvelle génération peuvent être utilisés qui exploitent les aptitudes humaines à manipuler les objets physiques. Cependant, ces technologies sont peu étudiées dans le contexte de la visualisation d'information. Tout d'abord, un premier problème découle d'une terminologie insuffisante. Dans cette thèse, je définis et étudie entre autres le concept de corporalisation (embodiment) pour la visualisation d'information. Concernant les visualisations, la corporalisation réfère à la congruence entre les éléments visuels d'une visualisation et leurs formes physiques. Ce concept intègre des concepts déjà connus tels que la tangibilité. Par exemple, l'interaction tangible s'attache à la représentation d'objets virtuels par des objets physiques. Mais en réalité, leur forme physique n'est pas nécessairement congruente avec l'objet virtuel. Un second problème découle du peu d'exemples convaincants d'interfaces tangibles appliquées à la visualisation d'information. Dans le domaine de la visualisation d'information, les écrans standard et les dispositifs d'entrée génériques tels que la souris, sont toujours les plus courants et considérés comme les plus efficaces. Cependant, aussi bien la partie affichage que la partie contrôle fournit des possibilités de corporalisation : les dispositifs d'entrée peuvent être spécialisés et adaptés de façon à ce que leur forme physique ressemble à leur fonction; les écrans peuvent être rendus déformables ou, dans l'avenir, être composés d'une matière programmable capable de prendre n'importe quelle forme imaginable. Mais la recherche sur les écrans et matières déformables est pour l'instant principalement dirigée par l'innovation technologique sans tenir compte des applications possibles à la visualisation d'information. Dans cette thèse, j'propose la corporalisation comme principe de conception pour la visualisation d'information. Je démontre l'efficacité et l'utilisabilité des dispositifs d'entrée corporalisés ainsi que des affichages corporalisés, en présentant trois expériences contrôlées. Par la suite, je présente un modèle d'interaction conceptuel et un système de notation visuelle pour décrire, comparer et critiquer différents types de systèmes de visualisation, et j'illustre l'utilisation de ce modèle à partir d'études de cas. Enfin, je présente un outil de conception pour aider à la création de visualisations physiques. Cet outil s'adresse à des utilisateurs novices en visualisation d'information et en fabrication numérique, et peut contribuer à sensibiliser ces utilisateurs à l'intérêt d'explorer des données qui les concernent dans leur vie quotidienne. En résumé, cette thèse contribue à la compréhension de la valeur ajoutée des interfaces physiques pour la visualisation d'information.Visualizations in the most general sense of external, physical representations of information are older than the invention of writing. Generally, external representations promote external cognition and visual thinking, and humans developed a rich set of skills for crafting and exploring them. Computers immensely increased the amount of data we can collect and process as well as diversified the ways we can represent it visually. Computer-supported visualization systems, studied in the field of information visualization (infovis), have become powerful and complex, and sophisticated interaction techniques are now necessary to control them. With the widening of technological possibilities beyond classic desktop settings, new opportunities have emerged. Not only display surfaces of arbitrary shapes and sizes can be used to show richer visualizations, but also new input technologies can be used to manipulate them. For example, tangible user interfaces are an emerging input technology that capitalizes on humans' abilities to manipulate physical objects. However, these technologies have been barely studied in the field of information visualization. A first problem is a poorly defined terminology. In this dissertation, I define and explore the conceptual space of embodiment for information visualization. For visualizations, embodiment refers to the level of congruence between the visual elements of the visualization and their physical shape. This concept subsumes previously introduced concepts such as tangibility and physicality. For example, tangible computing aims to represent virtual objects through a physical form but the form is not necessarily congruent with the virtual object. A second problem is the scarcity of convincing applications of tangible user interfaces for infovis purposes. In information visualization, standard computer displays and input devices are still widespread and considered as most effective. Both of these provide however opportunities for embodiment: input devices can be specialized and adapted so that their physical shape reflects their functionality within the system; computer displays can be substituted by transformable shape changing displays or, eventually, by programmable matter which can take any physical shape imaginable. Research on such shape-changing interfaces has so far been technology-driven while the utility of such interfaces for information visualization remained unexploited. In this thesis, I suggest embodiment as a design principle for infovis purposes, I demonstrate and validate the efficiency and usability of both embodied visualization controls and embodied visualization displays through three controlled user experiments. I then present a conceptual interaction model and visual notation system that facilitates the description, comparison and criticism of various types of visualization systems and illustrate it through case studies of currently existing point solutions. Finally, to aid the creation of physical visualizations, I present a software tool that supports users in building their own visualizations. The tool is suitable for users new to both visualization and digital fabrication, and can help to increase users' awareness of and interest in data in their everyday live. In summary, this thesis contributes to the understanding of the value of emerging physical representations for information visualization.PARIS11-SCD-Bib. électronique (914719901) / SudocSudocFranceF

Investigating the use of a dynamic physical bar chart for data exploration and presentation

Physical data representations, or data physicalizations, are a promising new medium to represent and communicate data. Previous work mostly studied passive physicalizations which require humans to perform all interactions manually. Dynamic shape-changing displays address this limitation and facilitate data exploration tasks such as sorting, navigating in data sets which exceed the fixed size of a given physical display, or preparing “views” to communicate insights about data. However, it is currently unclear how people approach and interact with such data representations. We ran an exploratory study to investigate how nonexperts made use of a dynamic physical bar chart for an open-ended data exploration and presentation task. We asked 16 participants to explore a data set on European values and to prepare a short presentation of their insights using a physical display. We analyze: (1) users’ body movements to understand how they approach and react to the physicalization, (2) their hand-gestures to understand how they interact with physical data, (3) system interactions to understand which subsets of the data they explored and which features they used in the process, and (4) strategies used to explore the data and present observations. We discuss the implications of our findings for the use of dynamic data physicalizations and avenues for future wor