Analysing eye-tracking data: From scanpaths and heatmaps to the dynamic visualisation of areas of interest

International audienceTo understand the visual behaviors of people searching for information on Web pages, heatmaps and Areas Of Interest (AOI) are generally used. These two techniques bring interesting information on how Web pages are scanned by several users. However, two remarks can be expressed: the first one relates to the fact that heatmaps are usually used to represent fixation areas for a given task after it is completed. Thus, it does not represent fixation areas over time. The second remark relates to the use of AOI, which must be defined by the analyst. We present a method, which address these two points. This bottom-up approach is based on a mean-shift clustering procedure for the identification of areas of interest, which takes into account the temporal aspect. The identification of AOI is thus data driven. This approach allows us to show the evolution of a posteriori AOI both in space and time. The limitations and implications of this new approach are discusse

The psychological science accelerator's COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

Les assemblées citoyennes

Si l'actualité des assemblées citoyennes est relativement récente en France, avec la Convention citoyenne pour le climat, cette technique s'appuie sur de nombreuses et anciennes expériences dans d'autres États. L'étude de ces assemblées a également fait l'objet de nombreux travaux issus de la science politique en France comme à l'étranger. Les juristes demeurent, encore aujourd'hui, largement étrangers à cette réflexion, aussi bien dans sa dimension pratique, l'étude de la pratique des assemblées citoyennes, que dans sa dimension théorique, sous l'angle de l'étude des concepts de démocratie délibérative et de démocratie participative. Dans un tel contexte, le présent ouvrage, Les assemblées citoyennes : nouvelle utopie démocratique ?, résultat d'un colloque international pluridisciplinaire, permet de dresser un état des lieux, sous un angle critique, de ce qu'il convient de penser des assemblées citoyennes. Les assemblées citoyennes constituent-elles le remède miracle à la crise du régime représentatif ? Tel est, sans doute le fil rouge de toutes les questions soulevées au cours de cette journée d'études. Quel est le sens des « assemblées citoyennes » ? À quelle théorie politique est-il possible de les rattacher ? Quelles en sont les expressions concrètes et les différentes expériences pratiques ? Telles sont les différentes questions sur lesquelles les contributions de cet ouvrage ont apporté un éclairage pluridisciplinaire, contemporain et critique. La multiplication des regards disciplinaires, science politique et droit pour l'essentiel, permet ainsi de croiser les regards sur cet objet d'études, de déplacer, parfois, les frontières et, surtout, de penser de manière globale le phénomène des assemblées citoyennes

Commentaries on viewpoint : physiology and fast marathons

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The psychological science accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

A global experiment on motivating social distancing during the COVID-19 pandemic

Finding communication strategies that effectively motivate social distancing continues to be a global public health priority during the COVID-19 pandemic. This cross-country, preregistered experiment (n = 25,718 from 89 countries) tested hypotheses concerning generalizable positive and negative outcomes of social distancing messages that promoted personal agency and reflective choices (i.e., an autonomy-supportive message) or were restrictive and shaming (i.e., a controlling message) compared with no message at all. Results partially supported experimental hypotheses in that the controlling message increased controlled motivation (a poorly internalized form of motivation relying on shame, guilt, and fear of social consequences) relative to no message. On the other hand, the autonomy-supportive message lowered feelings of defiance compared with the controlling message, but the controlling message did not differ from receiving no message at all. Unexpectedly, messages did not influence autonomous motivation (a highly internalized form of motivation relying on one’s core values) or behavioral intentions. Results supported hypothesized associations between people’s existing autonomous and controlled motivations and self-reported behavioral intentions to engage in social distancing. Controlled motivation was associated with more defiance and less long-term behavioral intention to engage in social distancing, whereas autonomous motivation was associated with less defiance and more short- and long-term intentions to social distance. Overall, this work highlights the potential harm of using shaming and pressuring language in public health communication, with implications for the current and future global health challenges

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the Extended Baryon Oscillation Spectroscopic Survey and from the Second Phase of the Apache Point Observatory Galactic Evolution Experiment

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since 2014 July. This paper describes the second data release from this phase, and the 14th from SDSS overall (making this Data Release Fourteen or DR14). This release makes the data taken by SDSS-IV in its first two years of operation (2014–2016 July) public. Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey; the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data-driven machine-learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from the SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS web site (www.sdss.org) has been updated for this release and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020 and will be followed by SDSS-V