International Journal of Arts and Technology (11 papers in press)
Are ICT good partners for the development of creativity? a systematic review of literature
by Ludwig Markbent Angarita, Andres Chiappe
Abstract: Creativity is considered one of the key skills of the 21st century. Likewise, Information and Communication Technologies are identified as a permanently present mediation in current education, which faces the challenge of developing creative thinking in children and young people who will live and perform in a highly globalized, interconnected, changing and uncertain social and cultural context. To deepen into the relationship between the educational use of ICT and the development of creativity, a systematic literature review was carried out on 100 published studies with this subject. rnThe results highlight on the one hand, the coexistence of three different conceptualizations on creativity and on the other hand, the identification of both contributions and barriers of ICT to the development of creative thinking that have more to do with cultural, attitudinal and organizational issues about their educational use than with the very nature of ICT.
Keywords: Information and Communication Technologies; development of creativity; ICT and creativity; systematic review of literature; 21st century skills; educational use of ICT; 21st century education; barriers and contributions of ICT to the creativity; creativity as innovation; creativity as social behaviour.
Situational perceived Competence and Choice when using Digital Technology in an Inquiry-based Learning Setting in Arts and Crafts
by Manuela Heindl
Abstract: Although there is evidence of an improvement in pupils learning achievements in inquiry-based learning sessions compared to traditional lessons, the influence of technology, especially in primary schools, has not yet been analysed yet. The question is, whether inquiry-based learning with digital technology leads to better outcomes, which will be indirectly measured through the final product and the pupils perceived and choice. The latter is part of the intrinsic motivation, which can also improve pupils scores according to Deci and Ryan. The treatment group used digital technology to solve a scientific architectural problem in the creative subject arts and crafts and the control group used worksheets instead. The pupils were given the standardised Intrinsic motivation inventory questionnaire by Deci and Ryan. The Whitney-Mann U-test concluded that the treatment group felt more competent (U
Keywords: inquiry-based learning; arts; primary school; motivation.
Research on Invulnerability of Scale-Free Network with a Unified Method
by Kaiju Li, Hao Wang
Abstract: Research on the invulnerability of scale-free network has outstanding benefit on building robust social, biological and technological networks in real world. Intuitively, prior studies attempt to investigate this topic under different conditions, including node/edge attack with or without cost, and get many valuable conclusions. However, current methods just evaluate the invulnerability from a single viewpoint, and lack a comprehensive description of this performance. Therefore, this paper proposes a unified framework to explore the invulnerability of scale-free network. Specifically, by exploring the transformation relations among node, edge and attack cost, we define a weight parameter t to unify the four cases, e.g., node/edge attack with or without cost. By this means, we can analyze the invulnerability from a comprehensive perspective rather than a single perspective. Furthermore, we re-analyze the invulnerability of scale-free network using our unified method and investigate the relationships among current research conclusions. Theoretical analysis and experimental results show that current conclusions are the cases corresponding to the specific values of t, and our method obtains other useful invulnerability conclusions with current methods.
Keywords: Scale-free Network; invulnerability; node attack; edge attack; weight parameter; unified analysis.
QSJoin: A new String Similarity Join Method based on Q-sample and Statistical Features
by Xiaoxia Wang, Decai Sun
Abstract: Similarity joins is an essential operation in big data analytics, such as data integration and data cleaning. In recent years, MapReduce framework is widely used to design algorithms for large-scale similarity join. But the large number of duplicated data incurs on both large shuffle cost and transmission cost in MapReduce. In this paper, we study MapReduce-based string similarity join with edit distance constraints. We propose a new algorithm, called QSJoin, to support efficient string similarity join by reducing the shuffle cost and transmission cost in MapReduce. Our algorithm employs a filter-verify framework. In filtration, a new signature scheme based on q-sample is adopted to decrease the number of generated signatures, and then a large number of dissimilar pairs are discarded with Standard-Match filter. In verification, a multi-vector filter scheme is adopted to eliminate more dissimilar pairs with statistical features, and then the final true pairs is extracted by the verification of candidate pairs with length-aware verification method. Experimental result on real-world datasets shows that our algorithm achieves high performance and outperforms state-of-the-art approaches.
Keywords: String Similarity Join; MapReduce; Q-sample; Statistical Feature; Data Integration.
The Art of Domain Classification and Recognition for Text Conversation using Support Vector Classifier
by Sandeep Rathor, R.S. Jadon
Abstract: This paper presents an art for recognition of text conversation into multiple domain categories using SVC. The whole process of recognition includes diverse components as: Lexical analysis, feature extraction, features normalization, feature reduction and finally recognition. Useful words are extracted using lexical analysis from the input text paragraph and transformed it into a binary matrix for further processing through feature extraction. Feature normalization is used to normalize the values of binary matrices while feature reduction is done through Principal Component Analysis to extract the important features from the feature vector and now it is passed to different configurations of SVM, then the best one is selected for the final process of classification and recognition. The domains categories are defined on the basis of various real life situations and conversation to train the system like education & research, personal, patriotism, terrorism, medical, religious, sports, and business. The experimental results demonstrate that the proposed approach works effectively with about 75% accuracy.
Keywords: Domain classification; domain recognition; conversation findings; machine learning.
The relation between the depth of field and the visual fatigue caused by stereoscopic Wayang Kulit shadow images
by Nurul Hasanah, Gea Oswah Fatah Parikesit, Indraswari Kusumaningtyas
Abstract: Along with the development of visual technology, Wayang Kulit can be displayed stereoscopically using two light sources which are equipped by red and cyan filters, a flat screen, the puppet, and a pair of 3D glasses. While viewing the stereoscopic shadow image, the viewer's eyes will converge at a point to get a single image and the lenses accommodate to get a clear image. The position of the stereoscopic shadow image which is not located on the screen may lead to visual fatigue. By performing the mathematical analysis using geometrical optics, it can be concluded that both the depth of field range and the position of the stereoscopic shadow image depend on the position of the viewer relative to the screen. In order to avoid the visual fatigue, the viewers should carefully choose the position, which is far enough to avoid the visual fatigue, but close enough to maintain the stereoscopic effect.
Keywords: Wayang Kulit; stereoscopic shadow image; 3D display technology; visual fatigue; depth of field.
The impact of colour and light on children with autism in interior spaces from an architectural point of view
by Sardar S. Shareef, Guita Farivarsadri
Abstract: The primary aim of this study is to investigate the role of 'colour and light' on the perception of children with autism and to indicate the most preferred colours and lights for an interior environment for them. Related documents were reviewed from studies published in journals, books, internet sources etc., also data collation was done in a local special learning school in the city of Famagusta; Northern Cyprus called 'Special Education Centre' (Özel Eğitim Merkezi). The centre cares and treats children with autism. Finally, in the study, a comparison between literature review outcomes and the results from the field study was done. Consequently a 'checklist' was prepared as a guiding light for architects and interior designers to help them in the design of living spaces for people who have autism.
Keywords: autism; autism sensory; architecture and autism; light; colour.
A movie customer satisfaction index model based on structural equation model
by Yan Wang, Jianping Chai, Mimi Zhang, Songzhu Zheng
Abstract: The success of a movie highly relies on customers' word-of-mouth (WOM) and satisfaction. WOM information on the internet media platform is good resource for customer satisfaction measurement. Impact factors of customer satisfaction of the movie are identified in this paper after the thorough literature review. Furthermore, an M-CSI model is proposed based on these impact factors using structural equation model as an index of movie customer satisfaction. And the satisfaction index is built with the proposed model using the online WOM data of 282 movies released in 2014 on Mtime. This paper verifies that movies' publicity effort and user expectation has a direct impact on its customer satisfaction and loyalty. Finally, the model gives a user satisfaction score to every movie according to different weights.
Keywords: movie; customer satisfaction; structural equation model; word-of-mouth; WOM.
Reversible data hiding in encrypted images with public key cryptography: a review of its benefits and open issues
by Lizhi Xiong, Danping Dong
Abstract: Reversible data hiding is a new research direction of data hiding technology. In particular with the adoption of cloud services, reversible data hiding in encrypted images is a well-known notion of achieving privacy protection in the cloud environment. According to the encryption method, it can be classified into symmetric encryption and asymmetric encryption. Compared with symmetric encryption, asymmetric encryption system allows homomorphic addition and homomorphic multiplication to be performed in the ciphertext domain, which makes the information hiding process more secure and the content is more effectively protected. However, there are some problems in existing schemes. The aim of this paper is to analysis recent issues regarding reversible data hiding in encrypted images with public key cryptography, and offer valuable solutions to the aforementioned issues, including feasible theoretical basis. Finally, focused on the technology needs and difficulties, several future directions in this field are proposed.
Keywords: reversible data hiding; public key cryptography; homomorphic encryption.
Affective images of the top rails in China traditional rosewood chairs
by Min Ren, Wei He
Abstract: In order to adapt to the developing personalised customisation market, product designs should consider the changed affective images of products in the current customer mind. Kansei engineering is an effective method to analysis and setup affective images of products. Rosewood furniture is the typical representative of China traditional culture. But with the change of time, its affective images in people's mind have changed and so its affective word space and images is a valuable research subject for modern furniture designers. Taking the top rails in China traditional rosewood chairs as the research subject, this paper setup the affective word semantic space of the top rails using questionnaire survey, semantic differential method and principal component analysis method, studied their affective word semantic images and tried to apply these traditional design elements in modern chair design according to their different affective images.
Keywords: kansei engineering; clustering; principal component analysis; PCA; rosewood furniture; China.
sonicLamination - from a concept to artistic binding of visual and sound domains by using advanced technology
by Denis Trček, Gašper Trček
Abstract: Layers can be considered as powerful mental concept with proven suitability in numerous areas ranging from fine arts to engineering. To further expand their potential and apply them to computers-based art, sonicLamination method is presented here. The method builds upon computer-based (programmatic) transformations that take into account various enriching perspectives, e.g., physiological laws of human perception. By doing so, it achieves higher levels of semantic relationships when binding visual and sound domains. Put another way, sonicLamination is not just about a new kind of conceptual art, but about exploring new venues in fine arts through technology. Therefore, this paper presents how sonicLamination can be used to exceed its conceptual roots in order to lead to new ways of artistic deployment ranging from enhancing humans sensations to artificially generated soundscapes. This is due to the fact that the core principles of sonicLamination can be naturally extended to provide means for a plethora of artistic approaches when technologically transforming visual inputs into their sonic representations.
Keywords: digital technology; fine art; concepts; layering; lamination; semantic enrichment; visual to audio transformations; interactivity.