The effects of visual context and individual differences on perception and evaluation of modern art and graffiti art

Gartus, Andreas; Klemer, Nicolas; Leder, Helmut

doi:10.1016/j.actpsy.2015.01.005

Cited by 40 publications

(45 citation statements)

References 49 publications

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“…Specifically, photo galleries can be used to highlight the resemblances and dissimilarities of the different species; quizzes can examine the levels of understanding and knowledge, triggering class discussion; puzzles can be exploited to organize personal collections and team-contests [26][27][28]. Gaming components can also provide indications of the salient visual parameters that facilitate artwork recognition, which urge trainees to get involved in associated AR-driven TEL services [12,13,[27][28][29][30][31][32][33][34][35][36][37][38][39] (i.e., to identify the parts of the paintings, the revealing of which triggers higher/empirical cognition, thus helping to detect the descriptive features behind the different styles and their classification properties). Feedback queries allow for the harvesting of users' responses (while playing the corresponding movement recognition games), thus receiving useful insights on subjective discrimination difficulties, which could help to better adapt and direct the teaching procedures.…”

Section: Discussionmentioning

confidence: 99%

“…Extending the above, these processes are also suitable for obtaining useful feedback and crowdsourcing-driven indirect annotation that could further propel artificial art recognition projects [12,13]. Even if these perspectives are considered somewhat beyond the main scope of TEL, the associated efforts are thought as being amongst the most challenging and trendy examples of inter-sectoral research [31][32][33][34][35][36][37][38][39], fueling cross-domain collaboration and knowledge exchange. Overall, the paper attempts to investigate and thoroughly analyze the potential advantages of TEL services in the media business, detecting the difficulties and needs that are associated with the interdisciplinary nature of this area, while stressing out convincing answers and prosperous solutions.…”

Section: Research Aims and Project Motivationmentioning

confidence: 99%

“…Returning to the educational perspectives and the offered capabilities, the introduced "learning by example" concept can be inducted in the goals of blended learning, thus giving the opportunity to schedule physical-and/or distant-communication teaching (synchronous or asynchronous). In addition, this new approach is closer to the training of artificial intelligence systems, i.e., through the paradigms of Machine and Deep Learning (ML/DL) [12,13,[31][32][33][34][35][36][37][38][39]. Inspired by this, a painting movement recognition modality was examined (already implied), which offered an alternative/opposite viewpoint, where humans guide the machines.…”

Section: Developmentmentioning

confidence: 99%

See 2 more Smart Citations

Machine-Assisted Learning in Highly-Interdisciplinary Media Fields: A Multimedia Guide on Modern Art

et al. 2019

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Art and technology have always been very tightly intertwined, presenting strong influences on each other. On the other hand, technological evolution led to today’s digital media landscape, elaborating mediated communication tools, thus providing new creative means of expression (i.e., new-media art). Rich-media interaction can expedite the whole process into an augmented schooling experience though art cannot be easily enclosed in classical teaching procedures. The current work focuses on the deployment of a modern-art web-guide, aiming at enhancing traditional approaches with machine-assisted blended-learning. In this perspective, “machine” has a two-folded goal: to offer highly-interdisciplinary multimedia services for both in-class demonstration and self-training support, and to crowdsource users’ feedback, as to train artificial intelligence systems on painting movements semantics. The paper presents the implementation of the “Istoriart” website through the main phases of Analysis, Design, Development, and Evaluation, while also answering typical questions regarding its impact on the targeted audience. Hence, elaborating on this constructive case study, initial hypotheses on the multidisciplinary usefulness, and contribution of the new digital services are put into test and verified.

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Section: Discussionmentioning

confidence: 99%

Section: Research Aims and Project Motivationmentioning

confidence: 99%

Section: Developmentmentioning

confidence: 99%

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Machine-Assisted Learning in Highly-Interdisciplinary Media Fields: A Multimedia Guide on Modern Art

et al. 2019

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“…Furthermore, most of the explanations for the reasons of the existence of art mention the rewarding value of perception of artworks (Chatterjee, 2013), or how exposure to artworks fits the way that human brain functions (Ramachandran & Hirstein, 1999). Although art appreciation is usually considered as a highly subjective experience, empirical studies in psychology have made an effort to understand the nature of art appreciation and aesthetic judgment (e.g., Gartus, Klemer, & Leder, 2015;Swami & Furnham, 2012;Swami et al, 2013).…”

mentioning

confidence: 99%

Ego development and aesthetic judgment styles in Iranian adults

Pourhosein¹,

Mohammadi-Zarghan²,

Soufiabadi³

et al. 2017

Psychol. Thought

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The theory of ego development presents a comprehensive framework to understand personality development throughout the stages of life. In this developmental theory, the ego is considered a cognitive-based structure and the primary synthesizing and regulating agent in personality development. Art appreciation and aesthetic judgment are considered to have personality correlates and developmental aspects. The current study aimed to examine the association between ego development and aesthetic judgment styles in adults. We recruited 202 adults from a community sample in Tehran, Iran. The age of participants in this study ranged from 18 to 64 (M = 29.5, SD = 8.9). Consistent with our hypotheses, results indicated that concrete aesthetic judgment was negatively associated with ego development. Moreover, analytical and emotional aesthetic judgment styles were positively correlated with ego development. In conclusion, individuals who scored higher in ego development tended to use more advanced aesthetic judgment styles when exposed to art.

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“…It brings life and color to the city at the same time it raises questions and protests. Secluded to ghettos and seen as the work of vandals in the past, graffiti has now the status of genuine art and is thus recognized as a relevant expression of creativity, diversity and freedom [1,2]. Because of that, graffiti artworks are spatially correlated with commercial and social vibrancy and are associated with urban tourism and revitalization dynamics [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Towards Detecting Building Facades with Graffiti Artwork Based on Street View Images

Novack

Vorbeck

Lorei³

et al. 2020

IJGI

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As a recognized type of art, graffiti is a cultural asset and an important aspect of a city’s aesthetics. As such, graffiti is associated with social and commercial vibrancy and is known to attract tourists. However, positional uncertainty and incompleteness are current issues of open geo-datasets containing graffiti data. In this paper, we present an approach towards detecting building facades with graffiti artwork based on the automatic interpretation of images from Google Street View (GSV). It starts with the identification of geo-tagged photos of graffiti artwork posted on the photo sharing media Flickr. GSV images are then extracted from the surroundings of these photos and interpreted by a customized, i.e., transfer learned, convolutional neural network. The compass heading of the GSV images classified as containing graffiti artwork and the possible positions of their acquisition are considered for scoring building facades according to their potential of containing the artwork observable in the GSV images. More than 36,000 GSV images and 5000 facades from buildings represented in OpenStreetMap were processed and evaluated. Precision and recall rates were computed for different facade score thresholds. False-positive errors are caused mostly by advertisements and scribblings on the building facades as well as by movable objects containing graffiti artwork and obstructing the facades. However, considering higher scores as threshold for detecting facades containing graffiti leads to the perfect precision rate. Our approach can be applied for identifying previously unmapped graffiti artwork and for assisting map contributors interested in the topic. Furthermore, researchers interested on the spatial correlations between graffiti artwork and socio-economic factors can profit from our open-access code and results.

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The effects of visual context and individual differences on perception and evaluation of modern art and graffiti art

Cited by 40 publications

References 49 publications

Machine-Assisted Learning in Highly-Interdisciplinary Media Fields: A Multimedia Guide on Modern Art

Machine-Assisted Learning in Highly-Interdisciplinary Media Fields: A Multimedia Guide on Modern Art

Ego development and aesthetic judgment styles in Iranian adults

Towards Detecting Building Facades with Graffiti Artwork Based on Street View Images

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