1,721,021 research outputs found
Query-guided Visual Search
No full textAuthors: Junyi Chu, Jon Gauthier, Roger Levy, Josh Tenenbaum, Laura Schulz
Published Abstract: https://cogsci.mindmodeling.org/2019/papers/0273/index.html
Poster:
How do we seek information from our environment to find solutions to the questions facing us? We pose an open-ended visual search problem to adult participants, asking them to identify targets of questions in scenes guided by only an incomplete question prefix (e.g. ”Why is...”, “Where will...”). Participants converged on visual targets and question completions given just these function words, but the preferred targets and completions for a given scene varied dramatically depending on the query. We account for this systematic query-guided behavior with a model linking conventions of linguistic reference to abstract representations of scene events. The ability to predict and find probable targets of incomplete queries may be just one example of a more general ability to pay attention to what problems require of their solutions, and to use those requirements as a helpful guide in searching for solutions
Query-guided Visual Search
No full textAuthors: Junyi Chu, Jon Gauthier, Roger Levy, Josh Tenenbaum, Laura Schulz
Published Abstract: https://cogsci.mindmodeling.org/2019/papers/0273/index.html
Poster:
How do we seek information from our environment to find solutions to the questions facing us? We pose an open-ended visual search problem to adult participants, asking them to identify targets of questions in scenes guided by only an incomplete question prefix (e.g. ”Why is...”, “Where will...”). Participants converged on visual targets and question completions given just these function words, but the preferred targets and completions for a given scene varied dramatically depending on the query. We account for this systematic query-guided behavior with a model linking conventions of linguistic reference to abstract representations of scene events. The ability to predict and find probable targets of incomplete queries may be just one example of a more general ability to pay attention to what problems require of their solutions, and to use those requirements as a helpful guide in searching for solutions
Eye Gaze Full Lookit Physics Data
No full textThis dataset of video and coding files was contributed to the automated eye gaze coding project iCatcher+ (in partnership with MIT Quest). This is a subset of the Infant Physics on Lookit dataset (https://osf.io/uw4sb/). Child and session identifiers have been anonymized and are not related to original user IDs on the Lookit platform. All videos in this dataset have been approved by participants to be shared for publicity, scientific, or educational use.
The PI for these data is Laura Schulz at Massachusetts Institute of Technology. Junyi Chu is the current administrator of the data and the OSF repository. She can be contacted with questions at [email protected].
NOTE: For details about access and usage permissions, please read the Wiki: https://osf.io/5u9df/wiki/home/
Eye Gaze Full Lookit Physics Data
No full textThis dataset of video and coding files was contributed to the automated eye gaze coding project iCatcher+ (in partnership with MIT Quest). This is a subset of the Infant Physics on Lookit dataset (https://osf.io/uw4sb/). Child and session identifiers have been anonymized and are not related to original user IDs on the Lookit platform. All videos in this dataset have been approved by participants to be shared for publicity, scientific, or educational use.
The PI for these data is Laura Schulz at Massachusetts Institute of Technology. Junyi Chu is the current administrator of the data and the OSF repository. She can be contacted with questions at [email protected].
NOTE: For details about access and usage permissions, please read the Wiki: https://osf.io/5u9df/wiki/home/
Eye Gaze Full Lookit Physics Data
No full textThis dataset of video and coding files was contributed to the automated eye gaze coding project iCatcher+ (in partnership with MIT Quest). This is a subset of the Infant Physics on Lookit dataset (https://osf.io/uw4sb/). Child and session identifiers have been anonymized and are not related to original user IDs on the Lookit platform. All videos in this dataset have been approved by participants to be shared for publicity, scientific, or educational use.
The PI for these data is Laura Schulz at Massachusetts Institute of Technology. Junyi Chu is the current administrator of the data and the OSF repository. She can be contacted with questions at [email protected].
NOTE: For details about access and usage permissions, please read the Wiki: https://osf.io/5u9df/wiki/home/
sj-pdf-1-amp-10.1177_25152459221147250 – Supplemental material for iCatcher+: Robust and Automated Annotation of Infants’ and Young Children’s Gaze Behavior From Videos Collected in Laboratory, Field, and Online Studies
No full textSupplemental material, sj-pdf-1-amp-10.1177_25152459221147250 for iCatcher+: Robust and Automated Annotation of Infants’ and Young Children’s Gaze Behavior From Videos Collected in Laboratory, Field, and Online Studies by Yotam Erel, Katherine Adams Shannon, Junyi Chu, Kim Scott, Melissa Kline Struhl, Peng Cao, Xincheng Tan, Peter Hart, Gal Raz, Sabrina Piccolo, Catherine Mei, Christine Potter, Sagi Jaffe-Dax, Casey Lew-Williams, Joshua Tenenbaum, Katherine Fairchild, Amit Bermano and Shari Liu in Advances in Methods and Practices in Psychological Science</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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