Evaluation of the User Strategy on 2d and 3d City Maps  Based on Novel Scanpath Comparison Method  and Graph Visualization

Doležalová, Jitka; Popelka, S

doi:10.5194/isprs-archives-xli-b2-637-2016

Cited by 6 publications

(7 citation statements)

References 13 publications

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“…One approach involved a string-edit-distance method which had been previously used in many eye-tracking studies to compare different participant groups (i.e., [76][77][78][79]). Specifically, ScanGraph calculated the similarity of scanpaths according to Levenshtein distance (i.e., [43,80,81]) and visualized the results calculated using the multimatch method, which can only indicate similarity between two scanpaths. The present study used batch calculations to calculate the similarity between all possible pairs of participants, in other words, 961 calculations (31 × 31) for each of the ten stimuli in the experiment.…”

Section: Discussionmentioning

confidence: 99%

Differences in Thematic Map Reading by Students and Their Geography Teacher

Beitlova

Popelka

Voženílek

2020

IJGI

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A school world atlas is likely the first systematic cartographic product which students encounter in their lives. However, only a few empirical studies have analysed school atlases in the context of map reading and learning geographical curricula. The present paper describes an eye-tracking study conducted on 30 grammar school students and their geography teacher. The study explored ten tasks using thematic world maps contained in the Czech school world atlas. Three research questions were posed: (i) Are students able to learn using these particular types of maps? (ii) Have the cartographic visualization methods in the school atlas been adequately selected? (iii) Does the teacher read the maps in the same manner as students? The results proved that the students were sufficiently able to learn using thematic maps. The average correctness of their answers exceeded 70%. However, the results highlighted several types of cartographic visualization methods which students found difficult to read. Most of the difficulties arose from map symbols being poorly legible. The most problematic task was estimating the value of the phenomenon from the symbol size legend. Finally, the difference between the students’ and teacher’s manner of reading maps in each task was analysed qualitatively and then quantitatively by applying two different scanpath comparison methods. The study revealed that the geography teacher applied a different method than her students. She avoided looking at the map legend and solved the task using her knowledge.

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Section: Discussionmentioning

confidence: 99%

Differences in Thematic Map Reading by Students and Their Geography Teacher

Beitlova

Popelka

Voženílek

2020

IJGI

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“…The essence of visual scanning paths sequence analysis is to analyze the visual transition sequences between AOIs within a certain time range in a longitudinal manner. By using characters to represent the AOI where the fixations are located, the expression of visual scanning path can be simplified as strings, which allows for quantitative analysis based on fixed visual sequences [16,40]. For example, Xu, Chong et al performed an overall similarity analysis between the visual sequences of participants who successfully identified hazards with those who failed and found that successful participants followed a similar visual pattern of hazards searching, i.e., had similar visual sequences [16].…”

Section: Methodological Deficiencies and Limitations In Chr Visual Patterns Studiesmentioning

confidence: 99%

“…This is because what can be seen and recorded is the world composed of objects and surfaces, but humans can make perceptions and associations about the meaning of the observed visual attributes. The human cognitive system uses heuristic problem-solving shortcuts to make inferences about the received information for generating perceptions of the world rather than exhaustive algorithms [40,41]. In the current application paradigm of computer vision, searching for the presence of a feature is faster than for the absence of a feature [18], which is also the reason why a static scene with potential hazards may be more difficult to be recognized by computer vision than a dynamic scene.…”

Section: Ppe-related Hazardmentioning

confidence: 99%

Temporal Visual Patterns of Construction Hazard Recognition Strategies

Rui

Wang

2021

IJERPH

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Visual cognitive strategies in construction hazard recognition (CHR) signifies prominent value for the development of CHR computer vision techniques and safety training. Nonetheless, most studies are based on either sparse fixations or cross-sectional (accumulative) statistics, which lack consideration of temporality and yielding limited visual pattern information. This research aims to investigate the temporal visual search patterns for CHR and the cognitive strategies they imply. An experimental study was designed to simulate CHR and document participants’ visual behavior. Temporal qualitative comparative analysis (TQCA) was applied to analyze the CHR visual sequences. The results were triangulated based on post-event interviews and show that: (1) In the potential electrical contact hazards, the intersection of the energy-releasing source and wire that reflected their interaction is the cognitively driven visual area that participants tend to prioritize; (2) in the PPE-related hazards, two different visual strategies, i.e., “scene-related” and “norm-guided”, can usually be generalized according to the participants’ visual cognitive logic, corresponding to the bottom-up (experience oriented) and top-down (safety knowledge oriented) cognitive models. This paper extended recognition-by-components (RBC) model and gestalt model as well as providing feasible practical guide for safety trainings and theoretical foundations of computer vision techniques for CHR.

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“…For instance, a portion of studies interpreted the average fixation duration as the degree of concentration and found that the duration of fixation reflects the time of individual understanding and processing, which means that the shorter the time, the less attention, leading to recognition errors [65]. However, partial studies interpreted the same indicator as the experience of subjects; that is, the shorter the fixation time, the less time spent in the scenario, resulting in better recognition performance [66]. Moreover, regarding visual trajectories, some scholars claimed that successful hazard recognizers usually spread their attention within the working environment [67].…”

Section: Develop Intuitive Devices For Hazard Recognitionmentioning

confidence: 99%

Research Trends of Human–Computer Interaction Studies in Construction Hazard Recognition: A Bibliometric Review

Wang

Rui

Liu

2021

Sensors

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Human–computer interaction, an interdisciplinary discipline, has become a frontier research topic in recent years. In the fourth industrial revolution, human–computer interaction has been increasingly applied to construction safety management, which has significantly promoted the progress of hazard recognition in the construction industry. However, limited scholars have yet systematically reviewed the development of human–computer interaction in construction hazard recognition. In this study, we analyzed 274 related papers published in ACM Digital Library, Web of Science, Google Scholar, and Scopus between 2000 and 2021 using bibliometric methods, systematically identified the research progress, key topics, and future research directions in this field, and proposed a research framework for human–computer interaction in construction hazard recognition (CHR-HCI). The results showed that, in the past 20 years, the application of human–computer interaction not only made significant contributions to the development of hazard recognition, but also generated a series of new research subjects, such as multimodal physiological data analysis in hazard recognition experiments, development of intuitive devices and sensors, and the human–computer interaction safety management platform based on big data. Future research modules include computer vision, computer simulation, virtual reality, and ergonomics. In this study, we drew a theoretical map reflecting the existing research results and the relationship between them, and provided suggestions for the future development of human–computer interaction in the field of hazard recognition from a practical perspective.

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Evaluation of the User Strategy on 2d and 3d City Maps Based on Novel Scanpath Comparison Method and Graph Visualization

Cited by 6 publications

References 13 publications

Differences in Thematic Map Reading by Students and Their Geography Teacher

Differences in Thematic Map Reading by Students and Their Geography Teacher

Temporal Visual Patterns of Construction Hazard Recognition Strategies

Research Trends of Human–Computer Interaction Studies in Construction Hazard Recognition: A Bibliometric Review

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