Browsing by Author "Fasllija, Ela"

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Open Access
A corpus-based approach to define Turkish soundscapes attributes
(Acoustical Soc Amer Amer Inst Physics, 2023-03) Yılmazer, Semiha; Dalirnaghadeh, Donya; Fasllija, Ela; Alimadhi, Enkela; Şahin, Zekiye; Mercan, Elif
Embargo
A principal component model to identify Turkish soundscapes’ affective attributes based on a corpus-driven approach
(Elsevier, 2023-06-30) Yılmazer, Semiha; Fasllija, Ela; Alimadhi, Enkela; Şahin, Zekiye; Mercan, Elif; Dalirnaghadeh, Donya
This study focused on achieving linguistic and culturally appropriate equivalents of Turkish soundscape attributes present in ISO 12913–3 by incorporating a Corpus-Driven Approach (CDA). A two-phase experiment was set up to find Turkish equivalents of affective quality attributes. The first phase consisted of the formation of a Corpus. An online questionnaire was prepared and sent to 196 native Turkish speakers from all around Türkiye to define adjectives. The second phase of the experiment was performed in a listening room. For this purpose, twenty-four binaural sound recordings were collected from seven public spaces. Afterward, forty individuals evaluated the recordings by using the attributes from Phase 1. The perceptual dimensions were obtained from the generated corpus in Turkish based on a rating scale by applying the Principal Component Analysis (PCA). Results indicated a two-dimensional model with two main components, Pleasantness and Eventfulness. Each component is associated with a main orthogonal axis denoted by ‘annoying-comfortable’ and ‘dynamic-uneventful,’ respectively. This circular organization of soundscape attributes is supported by two derived axes, namely ‘chaotic-calm’ and ‘monotonous-enjoyable’, rotated 45°on the same plane. Additionally, by using Spearman's rank correlation coefficient, sixty-four different bipolar adjective pairs were found. The adjective pairs showed that the highest correlations are mainly on the pleasant-unpleasant continuum, namely Component 1 of PCA. The collected data were also analyzed using Agglomerative Hierarchical Cluster analysis with the Ward method in R programming language to cluster the adjectives. The results inferred that there are four top-level categories. From the first to the fourth level, categories consisted of pleasant, uneventful, eventful, and annoying adjectives, respectively. Moreover, the terms grouped on the first cluster found their dichotomous on the fourth cluster, while maintaining the same relationship in the pleasant-unpleasant continuum.
Open Access
Colour‐texture mapping associations in terms of preference
(Wiley, 2020-08) Fasllija, Ela; Olguntürk, Nilgün; Güvenç, Dilek
Basic design is the origin of many design‐related fields and covers different concepts such as pattern, colour, texture and relief. Because colour is rarely seen as a uniformly plain element, current research embraces colour and texture as equally important variables. Investigations consider the association of colour and texture in terms of preference. One hundred individuals trained in design, as well as 96 individuals not trained in design, participated in an experiment in a virtual and abstract environment. We chose four primary colours from Natural Colour System colour space (yellow, red, green and blue) with the same saturation and brightness values. They were associated with three different texture types (plain, basket and broken twill), which we obtained by scanning the physical textile samples. In the second part of the experiment, we attempted to find a relationship between colour and one texture variable, in this case texture strength. The results of the study do not verify the existence of a dependency between colour and texture in either sample group. Also, there is no verification that a relationship between colour and texture strength exists. Furthermore, the results show that overall blue is the most preferred colour. Moreover, all participants preferred fine textures to coarse ones. Design‐trained participants often associate fine strength level with basket texture whereas the non‐design–trained participants more often associate it with plain textures. Lastly, the majority of participants state that blue is their most preferred colour in fine rather than coarse textures.
Open Access
Developing wideband acoustic absorbers in interior spaces: modelling, measurements and applications
(2024-01) Fasllija, Ela
This study aims to develop wideband acoustic absorbers in interior spaces for speech purposes, through the use of Micro-Perforated Panels (MPPs) arranged in different configurations. The research has involved theoretical modelling, measurements, and applications in interior spaces. The initial phase focused on modelling various MPP arrangements and predicting their sound absorption coefficients using the Electric Equivalent Circuit Model (ECM) under normal and oblique incidence conditions. Small samples with different geometric parameters were then manufactured and tested for their absorption coefficients at the Turkish Standards Institute, following the impedance tube method (ISO 10534-2:1998). The preliminary results showed a good agreement with the numerical predictions. Furthermore, the random incidence absorption coefficient of a parallel arranged MPP structure was measured in a Small-Scale Reverberation Room (SSRR) at Bilkent University to evaluate the proposed structure in a diffuse field. The results obtained by using ISO 354:2003 showed lower values than the predicted ones by a range of 0.1- 0.3. However, there was a better alignment between the ECM predictions and experimental results for 30-degree oblique incidence. Regarding interior applications, a classroom with poor acoustics was treated in ODEON 16 using the proposed material in the form of a wall panel. The effect of the developed material on objective room acoustics parameters was examined, revealing improvements in the Reverberation Time and Speech Intelligibility Index values. Lastly, the Turkish versions of Perceived Affective Qualities outlined in the ISO/TS 12913-2:2018 standard were developed to assess the subjective perception of the material following the soundscape approach.
Open Access
Influence of color-texture associations on preference
(2017-07) Fasllija, Ela
This study analyzes the possible existence of a relationship between color and texture in terms of preference. One hundred design-trained and 96 non-design trained respondents underwent an experiment carried out in a virtual and abstract environment. 12 color-texture mapped squares, (4 colors x 3 textures) were placed in a neutral grey colored background and shown to the respondents. They responded the question about their most preferred color-association. As a second part of the experiment, they answered also about their most preferred texture strength of the previously selected square. Results of the study deny the existence of a dependency between color and texture. Moreover, blue was the overall most preferred color in any context. Fine textures were preferred more compared to coarse ones. In addition, small changes were observed in terms of preference between the design trained and non-design trained respondents. However, gender was not a prominent factor affecting preferences in this study.
Open Access
Investigating the potential of transparent parallel-arranged micro-perforated panels (MPPs) as sound absorbers in classrooms
(MDPI AG, 2023-01-13) Fasllija, Ela; Yılmazer, Semiha
Acoustic deficiencies due to lack of absorption in indoor spaces may sometime render significant buildings unfit for their purpose, especially the ones used as speech auditoria. This study investigates the potential of designing wideband acoustic absorbers composed of parallel arranged micro-perforated panels (MPPs), known as efficient absorbers that do not need any other fibrous/porous material to have a high absorptive performance. It aims to integrate architectural trends such as transparency and the use of raw materials with acoustical constraints to ensure optimal indoor acoustic conditions. It proposes a structure composed of four parallel-arranged MPPs, which have been theoretically modelled using the electrical Equivalent Circuit Model (ECM) and implemented on an acrylic prototype using recent techniques such as CNC machining tools. The resulting samples are experimentally analysed for their absorption efficiency through the ISO-10534-2 method in an impedance tube. The results show that the prediction model and the experimental data are in good agreement. Afterward, the investigation focuses on applying the most absorptive MPP structure in a classroom without acoustic treatment through numerical simulations in ODEON 16 Acoustics Software. When the proposed material is installed as a wall panel, the results show an improvement toward optimum values in Reverberation Time (RT30) and Speech Transmission Index (STI).