The roles of products in product emotions an explorative study

Although several theoretical frameworks that aim to explain the emotional impact of product design have been introduced in design research literature, none of these frameworks clearly specifies the role of the product in these emotions. This paper reports a study that was designed to explore the variety of roles that products can play in emotional experiences. In a three staged experience sampling study, 29 participants produced 170 records of emotions experienced while interacting with products. Each case was examined in order to identify the antecedent event (the event triggering the emotion) and the mental object (what the emotion is about). The results indicated that several types of events involved in the user-product interaction can elicit an emotional experience: noticing a product; an event occurring during product usage; an entire usage episode; an external agent mentioning the product; and a change in the relationship between a user and a product . It was also found that the resulting emotional responses can be about (can be attributed to) several types of mental objects: a physical object, such as the particular product involved; the user or some other person; the actions of the user or the designer; the antecedent event itself. The results are used to identify and discuss eight distinct roles that products can play in the experience of emotions. In addition, examples are provided to illustrate how these roles can facilitate a structured approach to design for emotion. Keywords: Design and emotion, user-product interaction</p

Comparison of Metaheuristic Optimization Algorithms for Quadrotor PID Controllers

In the present study, different solution methods are discussed in order to control the quadrotor with the most optimal PID parameters for the determined purposes. One of these methods is to make use of meta-heuristic algorithms in control systems. There are some limitations of using a PID controller as a classical construct. However, it is thought that more successful results will be obtained by optimizing its parameters through meta-heuristic algorithms. Initially, the mathematical model of the vehicle was created in MATLAB/Simulink. Then, genetic algorithms (GA), artificial bee colony (ABC), particle swarm optimization (PSO) and firefly algorithms (FA) were determined respectively as optimization methods. And these optimization methods used to determine the PID control parameters are applied to the developed mathematical model in the MATLAB/Simulink environment. In addition, the performances of the optimization methods are evaluated according to the comparison criteria. As a result of the comparison carried out according to ITAE (Integral Time Absolute Error) fitness criteria, ABC (1.2% - 4.4%) in terms of altitude, FA (4% - 13%) in terms of roll angle, GA (13% - %21) in terms of pitch angle, and PSO (4% - %15) in terms of yaw angle has been more successful than other methods

Product related determinants of user satisfaction for different product groups

This paper focuses on the product related determinants of user satisfaction. It presents the results of an empirical study conducted to reveal the impacts of product related determinants on different product groups. The significance of different determinants influencing overall satisfaction response was investigated for different product groups via semi-structured interviews followed by quantitative analysis. For each product group, the findings were summarized and sub-headings of factors were listed. The findings of the study suggest that the determinants of user satisfaction differs for different product groups

Color science of nanocrystal quantum dots for lighting and displays

Cataloged from PDF version of article.Colloidal nanocrystals of semiconductor quantum dots (QDs) are gaining prominence among the optoelectronic materials in the photonics industry. Among their many applications, their use in artificial lighting and displays has attracted special attention thanks to their high efficiency and narrow emission band, enabling spectral purity and fine tunability. By employing QDs in color-conversion LEDs, it is possible to simultaneously accomplish successful color rendition of the illuminated objects together with a good spectral overlap between the emission spectrum of the device and the sensitivity of the human eye, in addition to a warm white color, in contrast to other conventional sources such as incandescent and fluorescent lamps, and phosphor-based LEDs, which cannot achieve all of these properties at the same time. In this review, we summarize the color science of QDs for lighting and displays, and present the recent developments in QD-integrated LEDs and display research. First, we start with a general introduction to color science, photometry, and radiometry. After presenting an overview of QDs, we continue with the spectral designs of QD-integrated white LEDs that have led to efficient lighting for indoor and outdoor applications. Subsequently, we discuss QD color-conversion LEDs and displays as proof-of-concept applications - a new paradigm in artificial lighting and displays. Finally, we conclude with a summary of research opportunities and challenges along with a future outlook

Filter design for small target detection on infrared imagery using normalized-cross-correlation layer

In this paper, we introduce a machine learning approach to the problem of infrared small target detection filter design. For this purpose, similarly to a convolutional layer of a neural network, the normalized-cross-correlational (NCC) layer, which we utilize for designing a target detection/recognition filter bank, is proposed. By employing the NCC layer in a neural network structure, we introduce a framework, in which supervised training is used to calculate the optimal filter shape and the optimum number of filters required for a specific target detection/recognition task on infrared images. We also propose the mean-absolute-deviation NCC (MAD-NCC) layer, an efficient implementation of the proposed NCC layer, designed especially for FPGA systems, in which square root operations are avoided for real-time computation. As a case study we work on dim-target detection on mid-wave infrared imagery and obtain the filters that can discriminate a dim target from various types of background clutter, specific to our operational concept

Okul Müdürlerinin Paternalist Liderlik Davranışları ile Öğretmenlerin Örgütsel Bağlılıkları Arasındaki İlişki

Bu araştırmanın amacı; okul müdürlerinin paternalist liderlik davranışları ile öğretmenlerin örgütsel bağlılıkları arasındaki ilişkiyi incelemektir. Araştırmanın evreni olarak İstanbul ili Sultanbeyli ilçesindeki beş resmi okulda çalışan yaklaşık 220 personel seçilmiştir. Bu okullarda çalışan herhangi birimlerden seçilen 150 personel çalışmanın örneklemini oluşturmuştur. Araştırma verileri yüz yüze anket yapılarak toplanmış ancak 11 ankette eksik veya yanlış bilgi olması sebebiyle çalışmaya 139 anket dâhil edilmiştir. Çalışmaya katılan katılımcıların %55,4’ü erkek, %44,6’sı kadındır. Elde edilen verilerin analizlerini yapmak için regresyon ve korelasyon testleri uygulanmıştır. Yapılan analizler neticesinde okul müdürlerinin paternalist liderlik davranışları ile öğretmenlerin örgütsel bağlılıkları arasında pozitif ve anlamlı bir ilişki olduğu görülmektedir. Ayrıca paternalist liderliğin alt boyutlarından ahlaki liderliğin pozitif ve anlamlı etkisinin olduğu ancak diğer alt boyutlar olan yardımsever liderlik, otoriter liderlik ve çıkarcı liderliğin örgütsel bağlılığa etkisi olmadığı gözlemlenmiştir. Ayrıca örgütsel bağlılığın %18 oranla paternalist liderliğin alt boyutları ile açıklanabileceği bulgusuna varılmıştır

High scotopic/photopic ratio white-light-emitting diodes integrated with semiconductor nanophosphors of colloidal quantum dots

Cataloged from PDF version of article.We propose and demonstrate single-chip white-light-emitting diodes (WLEDs) integrated with semiconductor nanophosphors of colloidal quantum dots for high scotopic/photopic (S/P) ratio. These color conversion WLEDs achieve S/P ratios over 3.00, which exceeds the current limit of 2.50 in common lighting technologies, while sustaining sufficient levels of color rendering index. (C) 2011 Optical Society of Americ

Computational study of power conversion and luminous efficiency performance for semiconductor quantum dot nanophosphors on light-emitting diodes

Cataloged from PDF version of article.We present power conversion efficiency (PCE) and luminous efficiency (LE) performance levels of high photometric quality white LEDs integrated with quantum dots (QDs) achieving an averaged color rendering index of >= 90 (with R9 at least 70), a luminous efficacy of optical radiation of >= 380 lm/W-opt a correlated color temperature of <= 4000 K, and a chromaticity difference dC <0.0054. We computationally find that the device LE levels of 100, 150, and 200 lm/W-elect can be achieved with QD quantum efficiency of 43%, 61%, and 80% in film, respectively, using state-of-the-art blue LED chips (81.3% PCE). Furthermore, our computational analyses suggest that QD-LEDs can be both photometrically and electrically more efficient than phosphor based LEDs when state-of-the-art QDs are used. (C) 2012 Optical Society of Americ