scholarly journals Why Shape Matters—On the Inherent Qualities of Geometric Shapes for Cartographic Representations

2019 ◽  
Vol 8 (5) ◽  
pp. 217 ◽  
Author(s):  
Silvia Klettner

All human communication involves the use of signs. By following a mutually shared set of signs and rules, meaning can be conveyed from one entity to another. Cartographic semiology provides such a theoretical framework, suggesting how to apply visual variables with respect to thematic content. However, semiotics does not address how the choice and composition of such visual variables may lead to different connotations, interpretations, or judgments. The research herein aimed to identify perceived similarities between geometric shape symbols as well as strategies and processes underlying these similarity judgments. Based on a user study with 38 participants, the (dis)similarities of a set of 12 basic geometric shapes (e.g., circle, triangle, square) were examined. Findings from cluster analysis revealed a three-cluster configuration, while multidimensional scaling further quantified the proximities between the geometric shapes in a two-dimensional space. Qualitative and quantitative content analyses identified four strategies underlying the participants’ similarity judgments, namely visual, affective, associative, and behavioral strategies. With the findings combined, this research provides a differentiated perspective on shape proximities, cognitive relations, and the processes involved.

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Silvia Klettner

<p><strong>Abstract.</strong> Human communication is notable both for its precision and flexibility (Krauss, 2002). By following a mutually shared set of signs and rules, meaning can be conveyed from one entity to another. In doing so, human communication allows to formulate an “unlimited number of meaningful novel messages that are not tied to the immediate present” (Krauss, 2002, p.1). Human language in particular allows to refer to and think about both concrete objects and abstractions, past events and experiences, remote both in space and time, or which exist only in the imagination (Keates, 1996). The same applies to visual communication. However, despite their similarities, maps are unlike language. Its elements are unlike words, but independent associative symbols with a reference fixed by convention but not by a single, nor unequivocal reference (Bertin, 1974; Langer, 1953; Wood, 2010; MacEachren, 1982).</p><p>At the same time, humans constantly respond to their environments and the stimuli therein, responding differently in respect to the type and characteristics of the stimuli exposed to (Russell, 1980; Russell &amp; Feldman Barrett, 1999). Applying this perspective to cartography indicates that the choices on how to depict and express data will affect how a map is perceived and interpreted (Monmonier, 1996). Thus, cartographic elements and their visual parameters (e.g. shape, color, hue, size, texture, and orientation) must be carefully elected to adequately represent and correspond with the particular aspect of information to be communicated (Bertin, 1974). The variety of methods available for representing information through cartographic representations allow to create strikingly different results created from a single set of data (Thompson, Lindsay, &amp; Gaillard, 2011). And yet, while a map may be designed to convey a single dataset of interest, it does not convey a single universal message (Thompson et al., 2011). Chandler even claims that “changing the form of the signifier while keeping the same signified can generate different connotations. Changes of style or tone may involve different connotations, such as when using different typefaces for exactly the same text, or changing from sharp focus to soft focus when taking a photograph” (Chandler, 2007, p.143).</p><p>In cartography, semiotic rules (Bertin, 1974) provide a framework to adequately select <i>between</i> the type of visual variables in correspondence to the characteristics of information to be communicated, such as when to represent information by shape, color, or size. These rules, however, do not further differentiate <i>within</i> each type of visual variable, such as regarding the effects of different signifiers in maps on the map readers’ associations and interpretations, such as the effect of depicting information by particular shape or color. In other words, while semiotics provides a shared set of signs and rules, it does not address how choices for or the composition of graphic variables may lead to different connotations, interpretations or judgments.</p><p>Recent research in cartography has begun to empirically study such effects of design decisions on the map reader’s responses. Findings support the notion that changes in visual map styles can influence the map readers’ responses, such as towards altering emotional responses, trust, liking, recall, efficiency, and effectiveness (Fabrikant, Christophe, Papastefanou, &amp; Maggi, 2012; Garlandini &amp; Fabrikant, 2009; Jenny et al., 2018; Muehlenhaus, 2012). However, empirical findings are still scarce.</p><p>This research is therefore dedicated to further disclosing the impact of visual variables on the map reader’s responses. Following Chandler’s claim (Chandler, 2007), it is tested whether varying the signifier on a map while keeping the same signified will lead to different responses towards the map. Among the most prevalently used visual signifiers in thematic cartographic representations, geometric shapes (e.g. circle, triangles, squares) are a common means to indicate spatio-temporal occurrences. Yet, their significance and effect on map interpretation has not been explored. Hence, this research focusses on two profound questions, i.e. firstly, <i>what are the unique qualities geometric shapes are imbued with?, and secondly, to which extent do cartographic representations, which are altered merely according to their geometric signifiers, involve different affective and cognitive responses towards the map?</i> We claim that the choice of signifier matters, such as the choice for a circular shape (as opposed to a sextant) may influence the map viewer’s responses due to the signifier’s inherent qualities. Figure 1 illustrates a set of signifiers used in the empirical studies of the present research.</p><p>Empirical studies have been designed and conducted to identify the particular qualities of basic geometric shapes (e.g. qualities of activation, potency, and valence) from a user perspective as well as to identify and quantify (dis)similarities of geometric shape stimuli, commonly used in visual communication and in particular in thematic cartographic representations. The concept of similarity is of crucial importance to theories in cognitive sciences, revealing part of the stimuli’ cognitive structures and relatedness. In a second step of this research, further empirical studies have been conducted to test the impact of the previously identified shape qualities and (dis)similarities on map interpretation and map related judgments. Current findings strongly support the notion that even basic geometric shapes imbue particular qualities, affecting map connotations, associations, and judgments.</p><p>By unravelling hidden communication effects and cognitive structures of graphic variables, this research indicates significant implications in the context of cartography and beyond. In research and practice, it is particularly beneficial to appropriately discriminate between stimuli in order to take informed choices. This research aims to contribute to a more holistic understanding concerning the effects of design decisions and to contribute to more effectively communicating messages by deliberately applying visual variables with distinct qualities.</p>


Author(s):  
Meghan Chandarana ◽  
Erica L. Meszaros ◽  
Anna Trujillo ◽  
B. Danette Allen

As the number of viable applications for unmanned aerial vehicle (UAV) systems increases at an exponential rate, interfaces that reduce the reliance on highly skilled engineers and pilots must be developed. Recent work aims to make use of common human communication modalities such as speech and gesture. This paper explores a multimodal natural language interface that uses a combination of speech and gesture input modalities to build complex UAV flight paths by defining trajectory segment primitives. Gesture inputs are used to define the general shape of a segment while speech inputs provide additional geometric information needed to fully characterize a trajectory segment. A user study is conducted in order to evaluate the efficacy of the multimodal interface.


2017 ◽  
Vol 13 (2) ◽  
pp. 87-108 ◽  
Author(s):  
Muhammad Aslam Jarwar ◽  
Rabeeh Ayaz Abbasi ◽  
Mubashar Mushtaq ◽  
Onaiza Maqbool ◽  
Naif R. Aljohani ◽  
...  

Social media has revolutionized human communication and styles of interaction. Due to its effectiveness and ease, people have started using it increasingly to share and exchange information, carry out discussions on various events, and express their opinions. Various communities may have diverse sentiments about events and it is an interesting research problem to understand the sentiments of a particular community for a specific event. In this article, the authors propose a framework CommuniMents which enables us to identify the members of a community and measure the sentiments of the community for a particular event. CommuniMents uses automated snowball sampling to identify the members of a community, then fetches their published contents (specifically tweets), pre-processes the contents and measures the sentiments of the community. The authors perform qualitative and quantitative evaluation for a variety of real world events to validate the effectiveness of the proposed framework.


PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251057
Author(s):  
Miquel Mascaró ◽  
Francisco J. Serón ◽  
Francisco J. Perales ◽  
Javier Varona ◽  
Ramon Mas

Laughter and smiling are significant facial expressions used in human to human communication. We present a computational model for the generation of facial expressions associated with laughter and smiling in order to facilitate the synthesis of such facial expressions in virtual characters. In addition, a new method to reproduce these types of laughter is proposed and validated using databases of generic and specific facial smile expressions. In particular, a proprietary database of laugh and smile expressions is also presented. This database lists the different types of classified and generated laughs presented in this work. The generated expressions are validated through a user study with 71 subjects, which concluded that the virtual character expressions built using the presented model are perceptually acceptable in quality and facial expression fidelity. Finally, for generalization purposes, an additional analysis shows that the results are independent of the type of virtual character’s appearance.


Author(s):  
Muhammad Aslam Jarwar ◽  
Rabeeh Ayaz Abbasi ◽  
Mubashar Mushtaq ◽  
Onaiza Maqbool ◽  
Naif R. Aljohani ◽  
...  

Social media has revolutionized human communication and styles of interaction. Due to its effectiveness and ease, people have started using it increasingly to share and exchange information, carry out discussions on various events, and express their opinions. Various communities may have diverse sentiments about events and it is an interesting research problem to understand the sentiments of a particular community for a specific event. In this article, the authors propose a framework CommuniMents which enables us to identify the members of a community and measure the sentiments of the community for a particular event. CommuniMents uses automated snowball sampling to identify the members of a community, then fetches their published contents (specifically tweets), pre-processes the contents and measures the sentiments of the community. The authors perform qualitative and quantitative evaluation for a variety of real world events to validate the effectiveness of the proposed framework.


Author(s):  
Shrey Pareek ◽  
Vaibhav Sharma ◽  
Ehsan T. Esfahani

This study proposes a gesture based CAD interface that uses pose, position, velocity and direction of fingers as input data in order to draw, extrude, scale, translate and rotate an object in the 3D space. The system allows the user to generate basic geometrical primitives and advanced geometries (geometries that cannot be realized using the CSG primitives) and to perform basic CAD operations described above. As opposed to traditional systems wherein path based gestures are used to carry out operations, the proposed system uses switches that operate on simple binary principles thus reducing the computational cost of the system by eliminating the use of a classifier scheme to a high extent. A user study involving 10 subjects is also presented in order to determine the qualitative and quantitative efficacy of the proposed system.


2020 ◽  
Vol 9 (4) ◽  
pp. 219 ◽  
Author(s):  
Yun Lin ◽  
Chengqi Xue ◽  
Yafeng Niu ◽  
Xiaozhou Zhou ◽  
Yanfei Zhu

Flow maps are a common type of geographic information visualization in which lines that symbolize flow are typically varied in width to represent differences in the magnitude of the flow. An accurate perception of thickness is critical to numerical representation in flow maps. Previous studies have identified some of the factors, such as horizontal–vertical visual illusions and color size effects, that affect the perceived size of objects. However, the question of whether multiple visual variables that encode flow lines, such as length, orientation, and shape, interfere with their perceived thicknesses, remains unanswered. In this study, we performed a user study to determine the effect of length and orientation on thickness perception. The result indicates that the horizontal orientation is perceived to be thicker than the vertical orientation, and a short length is perceived to be thicker than a long length. Furthermore, we report and discuss other results (e.g., on adjustment direction) that are consistent with previous work. Although this study constitutes basic research, accumulating evidence on thickness perception is essential to this field of science. This study may contribute to our understanding of the factors that influence the perception of the thickness of lines on a flow map. We provide some concrete guidelines for the design of flow maps that may be beneficial to map designers.


2017 ◽  
Vol 10 (2) ◽  
pp. 39 ◽  
Author(s):  
Mohammad Malli ◽  
Nadine Said ◽  
Ahmad Fadlallah

Profiling users in Online Social Networks (OSNs) is of great benefit in multiple domains (e.g., marketing, sociology, and forensics). In this paper, we propose a new model for rating user’s profile (i.e., low, medium, high, and advanced) in an OSN community by embedding it into clusters located at predefined range of radius in a low-dimensional Cartesian space. The orthogonal coordinates of the profile are estimated using Principle Component Analysis (PCA) applied on a vector of metrics formulated as a set of attributes of interest (i.e., qualitative and quantitative) mined from the user’s profile to characterize his/her level of participation and behavior in the community. The experimentations are conducted on 3000 simulated profiles of three OSNs (Facebook, Twitter and Instagram) by embedding them in three cartesian spaces of three corresponding communities (Religion, Political and Lifestyle).  The results show that we are able to estimate accurately the profile rates by reducing the vector of metrics to a low-dimensional space whittle down to 3-D space.


2020 ◽  
Author(s):  
Bo Kang ◽  
Darío García García ◽  
Jefrey Lijffijt ◽  
Raúl Santos-Rodríguez ◽  
Tijl De Bie

AbstractDimensionality reduction and manifold learning methods such as t-distributed stochastic neighbor embedding (t-SNE) are frequently used to map high-dimensional data into a two-dimensional space to visualize and explore that data. Going beyond the specifics of t-SNE, there are two substantial limitations of any such approach: (1) not all information can be captured in a single two-dimensional embedding, and (2) to well-informed users, the salient structure of such an embedding is often already known, preventing that any real new insights can be obtained. Currently, it is not known how to extract the remaining information in a similarly effective manner. We introduce conditional t-SNE (ct-SNE), a generalization of t-SNE that discounts prior information in the form of labels. This enables obtaining more informative and more relevant embeddings. To achieve this, we propose a conditioned version of the t-SNE objective, obtaining an elegant method with a single integrated objective. We show how to efficiently optimize the objective and study the effects of the extra parameter that ct-SNE has over t-SNE. Qualitative and quantitative empirical results on synthetic and real data show ct-SNE is scalable, effective, and achieves its goal: it allows complementary structure to be captured in the embedding and provided new insights into real data.


Author(s):  
Clarissa Hedenqvist ◽  
Mario Romero ◽  
Ricardo Vinuesa

AbstractThis study investigates to which extent students’ understanding of the physical phenomenon of torque can be improved through the use of visualization technology, in particular of augmented reality (AR). The students in the first-year course Mechanics I at KTH participated in the study by taking two tests on torque. In between those tests, a subgroup of students participated in a user study where they used an AR application to solve problems regarding torque. The results of the pre-test and the post-test indicate that the subgroup who used the app improved their understanding of torque to a greater extent than the ones who did not use the app. However, a larger sample space would be required to obtain a complete statistical characterization of the reported (qualitative and quantitative) improvement.


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