Browsing 17 Psychology and Cognitive Sciences by Title

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Browsing 17 Psychology and Cognitive Sciences by Title

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  • Pressick-Kilborn Kimberley; Arnold Lynette; Walker Richard; Sainsbury Erica (Human Kinetics Publ Inc, 2005)
    Motivation is increasingly recognized as contextually situated, and this recognition has led to considerable research into motivation in authentic learning environments such as classrooms. Developing sociocultural ...
  • Brown S; Marley Anthony; Lacouture Y (American Psychological Association, 2007)
    N. Stewart, G. D. A. Brown, and N. Chater's (2005) relative judgment model includes three core assumptions that enable it to predict accurately the vast majority of ¿classical¿ phenomena in absolute identification choices, ...
  • Johansson Birger; Balkenius Christian (IEEE, 2005)
    To study and simulate cognitive development, it is useful to find a natural domain where many cognitive functions are needed and, but where the complexity of the environment and task is reasonable. We suggest that childrens ...
  • Green Jennifer; Blackett Denise (Blackwell Publishing, 2003)
    This paper reports on a small qualitative study conducted with 30 volunteers from an Area Health Service in the northern suburbs of Sydney. The study was designed to ascertain the ways in which the motivation of hospital ...
  • Maude R; Foureur Maralyn (Elsevier, 2005)
    Purpose: This study aimed to give ‘voice’ to women’s experiences of using water for labour and birth. Participants: Five women from a large urban region in New Zealand, who used water for labour and birth, at home and ...
  • Jan Tony; Tsai Po-Hsiang; Hintz Thomas (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    In face recognition, if the extracted input data contains misleading information (uncertainty), the classifiers may produce degraded classification performance. In this paper, we employed kernel-based discriminant ...
  • Johansson Birger; Balkenius Christian (LUCS (Lund University Cognitive Sciences), 2008)
    A model of event driven anticipatory learning is described and applied to a number of attention situations where one or several visual targets need to be tracked while being intermittently occluded. The model combines ...
  • Barraket, J. (Blackwell Publishing, 2007)
    The development of the third sector in Australia has involved the negotiation of varying forms of state and market regulatory mechanisms. In the course of these settlements, ground-up initiatives have often found that ...
  • Wang Paul; Waller David (Lippincott Williams and Wilkins, 2005)
    Given the unmistakable trend toward a more integrated global economy and the tremendous impact of consumer vanity on demand for countless goods and services, there exists a need for more cross-cultural research on the ...
  • Lee J; Soutar Geoffrey; Louviere Jordan (Marcel Dekker, 2001)
    The paper discusses the way that values have been measured and suggests an alternative way to collect values data. A recently developed approach, termed Best Worst Scaling, developed by Louviere and his colleagues, ...
  • Kaufmann E; Athanasou James (Verlag Hans Huber, 2009)
    This research determined the extent of judgment achievement (i.e., accuracy) across different decision-making domains (e. g., medicine, business, education, psychology). Judgment achievement was examined in terms of the ...
  • Zilberg Eugene; Burton David; Xu Zheng Ming; Karrar Murad; Lal Saroj (River Publishers, 2008)
    Application of piezofilm movement sensors integrated into the car seat, seat belt and steering wheel was proposed for development of a noninvasive and hybrid systems for detecting driver drowsiness. A car simulator study ...
  • Huang Shoudong; Wang Zhan; Dissanayake Gamini (ARC Research Network on Sensor Networks, 2007)
    This paper presents an algorithm for the multi-robot simultaneous localization and mapping (SLAM) problem with the robot initial locations completely unknown. Each robot builds its own local map using the traditional ...
  • Alempijevic Alen; Kodagoda Sarath; Dissanayake Gamini (IEEE, 2009)
    Relating information originating from disparate sensors without any attempt to model the environment or the behaviour of any particular object within it is a challenging task. Inspired by human perception, the focus of ...
  • Thom, K.; Dixon, R.; Hughes, F. A (ScienceDirect, Elsevier Ltd, 2003)
    Stalking involves recurrent and persistent unwanted communication or contact that generates fear for safety in the victims. This pilot study evaluated the nature and prevalence of stalking among New Zealand nurses and ...
  • Piccardi Massimo; Jan Tony; Hintz Thomas (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2003)
    In automated visual surveillance applications, detection of suspicious human behaviors is of great practical importance. However due to random nature of human movements, reliable classification of suspicious human ...
  • Ghevondian Nejhdeh; Nguyen Hung; Jones Timothy (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    The most common and highly feared adverse effect of intensive insulin therapy in patients with diabetes is the increased risk of hypoglycemia. Symptoms of hypoglycemia arise from the activation of the autonomous central ...
  • Stratford Trisha; Lal Saroj; Meara Alan (Gestalt Journal of Australia and New Zealand, 2009)
    Currently no studies exist on assessing neurophysiological correlates, especially brain activity, during therapeutic alliance (TA) between client and therapist. The aims of this study were to assess electroencephalography ...
  • Ling Steve (Scientific Research Publishing, Inc., 2011)
    This paper presents a new neural network structure and namely node-to-node-link neural network (N-N-LNN) and it is trained by real-coded genetic algorithm (RCGA) with average-bound crossover and wavelet mutation [1]. The ...
  • Al-Jumaily Adel; Chiem Andy; Khushaba Rami N (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    In this paper, a new intelligent method of classifying benign and malignant melanoma lesions is implemented. The system consists of four stages; image pre-processing, image segmentation, feature extraction, and image ...