3 research outputs found

    Doctor Who: uma análise de interface do doodle jogável da Google

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    By using artistic mutations in its logotype, called doodles, Google has been commemorating important events and personalities. Google's mutations started with still images, evolved to increasingly complex interactions, resulting in games. Thus, the native of the digital world has now introduced an approach for interaction with your brand in cyberspace, from the experiences with the user. The article aims to analyze the doodle commemorating Doctor Who's 50th Anniversary, the British TV broadcaster BBC's series, considering principles of interaction design and usability. The path analysis is substantiated by authors such as Preece, Rogers and Sharp, and Nielsen (interaction design and usability); Frutiger, Strunck and Gobé (visual identity), the prospect of watching the changing of the Google brand from interactions with users.Por meio de mutações artísticas de sua marca, denominadas Doodles, a Google vem homenageando eventos importantes e personalidades. As mutações no logotipo tiveram início com imagens estáticas, evoluindo para interações cada vez mais complexas, resultando em jogos. Dessa maneira, a empresa nativa do mundo digital tem introduzido uma abordagem de interação da sua marca no ciberespaço, a partir das experiências com o usuário. O artigo tem como objetivo analisar o doodle comemorativo dos cinquenta anos de Doctor Who/i, série da emissora de TV britânica BBC, considerando princípios do design de interação e da usabilidade. O percurso de análise é fundamentado por autores como Preece, Rogers e Sharp, além de Nielsen (design de interação e usabilidade); Frutiger, Strunck e Gobé (identidade visual), na perspectiva de observar a mutação da marca Google a partir das interações com os usuários

    NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

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    Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data
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