Relevant bibliographies by topics / Cognitive informatics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cognitive informatics'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Cognitive informatics"

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Wang, Yingxu, Newton Howard, Janusz Kacprzyk, Ophir Frieder, Phillip Sheu, Rodolfo A. Fiorini, Marina L. Gavrilova, Shushma Patel, Jun Peng, and Bernard Widrow. "Cognitive Informatics." International Journal of Cognitive Informatics and Natural Intelligence 12, no. 1 (January 2018): 1–13. http://dx.doi.org/10.4018/ijcini.2018010101.

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Cognitive Informatics (CI) is a contemporary field of basic studies on the brain, computational intelligence theories and underpinning denotational mathematics. Its applications include cognitive systems, cognitive computing, cognitive machine learning and cognitive robotics. IEEE ICCI*CC'17 on Cognitive Informatics and Cognitive Computing was focused on the theme of neurocomputation, cognitive machine learning and brain-inspired systems. This paper reports the plenary panel (Part I) at IEEE ICCI*CC'17 held at Oxford University. The summary is contributed by invited keynote speakers and distinguished panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and cognitive computing.
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Wang, Yingxu. "Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 1 (January 2011): 75–93. http://dx.doi.org/10.4018/jcini.2011010105.

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The contemporary wonder of sciences and engineering recently refocused on the starting point: how the brain processes internal and external information autonomously rather than imperatively as those of conventional computers? This paper explores the interplay and synergy of cognitive informatics, neural informatics, abstract intelligence, denotational mathematics, brain informatics, and computational intelligence. A key notion recognized in recent studies in cognitive informatics is that the root and profound objective in natural, abstract, and artificial intelligence, and in cognitive informatics and cognitive computing, is to seek suitable mathematical means for their special needs. A layered reference model of the brain and a set of cognitive processes of the mind are systematically developed towards the exploration of the theoretical framework of cognitive informatics. A wide range of applications of cognitive informatics and denotational mathematics are recognized in the development of highly intelligent systems such as cognitive computers, cognitive knowledge search engines, autonomous learning machines, and cognitive robots.
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Wang, Yingxu, George Baciu, Yiyu Yao, Witold Kinsner, Keith Chan, Bo Zhang, Stuart Hameroff, et al. "Perspectives on Cognitive Informatics and Cognitive Computing." International Journal of Cognitive Informatics and Natural Intelligence 4, no. 1 (January 2010): 1–29. http://dx.doi.org/10.4018/jcini.2010010101.

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Cognitive informatics is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. Cognitive computing is an emerging paradigm of intelligent computing methodologies and systems based on cognitive informatics that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a set of collective perspectives on cognitive informatics and cognitive computing, as well as their applications in abstract intelligence, computational intelligence, computational linguistics, knowledge representation, symbiotic computing, granular computing, semantic computing, machine learning, and social computing.
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Hülse, Martin, and Manfred Hild. "Informatics for cognitive robots." Advanced Engineering Informatics 24, no. 1 (January 2010): 2–3. http://dx.doi.org/10.1016/j.aei.2009.08.001.

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Wang, Yingxu, Bernard Carlos Widrow, Bo Zhang, Witold Kinsner, Kenji Sugawara, Fuchun Sun, Jianhua Lu, Thomas Weise, and Du Zhang. "Perspectives on the Field of Cognitive Informatics and its Future Development." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 1 (January 2011): 1–17. http://dx.doi.org/10.4018/jcini.2011010101.

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The contemporary wonder of sciences and engineering has recently refocused on the beginning point of: how the brain processes internal and external information autonomously and cognitively rather than imperatively like conventional computers. Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. This paper reports a set of eight position statements presented in the plenary panel of IEEE ICCI’10 on Cognitive Informatics and Its Future Development contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.
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Taylor, J. M., and V. Raskin. "Towards the Cognitive Informatics of Natural Language." International Journal of Cognitive Informatics and Natural Intelligence 7, no. 3 (July 2013): 25–45. http://dx.doi.org/10.4018/ijcini.2013070102.

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This paper deals with a contribution of computational analysis of verbal humor to natural language cognition. After a brief introduction to the growing area of computational humor and of its roots in humor theories, it describes and compares the results of a human-subject and computer experiment. The specific interest is to compare how well the computer, equipped with the resources and methodologies of the Ontological Semantic Technology, a comprehensive meaning access approach to natural language processing, can model several aspects of the cognitive behaviors of humans processing jokes from the Internet. The paper, sharing several important premises with cognitive informatics, is meant as a direct contribution to this rapidly developing transdisciplinary field, and as such, it bears on cognitive computing as well, especially at the level of implementation of computational humor in non-toy systems and the relationship to human cognitive processes of understanding and producing humor.
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Shivhare, Radhika, Aswani Kumar Cherukuri, and Jinhai Li. "Establishment of Cognitive Relations Based on Cognitive Informatics." Cognitive Computation 9, no. 5 (August 1, 2017): 721–29. http://dx.doi.org/10.1007/s12559-017-9498-9.

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Wang, Yingxu, Robert C. Berwick, Simon Haykin, Witold Pedrycz, Witold Kinsner, George Baciu, Du Zhang, and C. Bhavsar. "Cognitive Informatics and Cognitive Computing in Year 10 and Beyond." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 4 (October 2011): 1–21. http://dx.doi.org/10.4018/jcini.2011100101.

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Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. The latest advances in CI leads to the establishment of cognitive computing theories and methodologies, as well as the development of Cognitive Computers (CogC) that perceive, infer, and learn. This paper reports a set of nine position statements presented in the plenary panel of IEEE ICCI*CC’11 on Cognitive Informatics in Year 10 and Beyond contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.
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Wang, Yingxu, Edmund T. Rolls, Newton Howard, Victor Raskin, Witold Kinsner, Fionn Murtagh, Virendrakumar C. Bhavsar, Shushma Patel, Dilip Patel, and Duane F. Shell. "Cognitive Informatics and Computational Intelligence." International Journal of Software Science and Computational Intelligence 7, no. 2 (April 2015): 50–69. http://dx.doi.org/10.4018/ijssci.2015040103.

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Cognitive Informatics (CI) is a contemporary multidisciplinary field spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, cognitive linguistics, and cognitive philosophy. Cognitive Computing (CC) is a novel paradigm of intelligent computing methodologies and systems based on CI that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This paper reports a set of position statements presented in the plenary panel of IEEE ICCI*CC'14 on Cognitive Informatics and Cognitive Computing. The summary is contributed by invited panelists who are part of the world's renowned researchers and scholars in the transdisciplinary field of cognitive informatics and cognitive computing.
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Jin, Yinzi, Mingxia Jing, and Xiaochen Ma. "Effects of Digital Device Ownership on Cognitive Decline in a Middle-Aged and Elderly Population: Longitudinal Observational Study." Journal of Medical Internet Research 21, no. 7 (July 29, 2019): e14210. http://dx.doi.org/10.2196/14210.

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Background Cognitive decline is a major risk factor for disability and death and may serve as a precursor of dementia. Digital devices can provide a platform of cognitively stimulating activities which might help to slow cognitive decline during the process of normal aging. Objective This longitudinal study aimed to examine the independent protective factors of desktop and cellphone ownership against cognitive decline in mid-life and older adulthood and to examine the combined effect of desktop and cellphone ownership on the same outcome. Methods Data was obtained from a China Health and Retirement Longitudinal Studies (CHARLS) cohort made up of 13,457 community-dwelling adults aged 45 years or above in 2011-2012. They were followed for 4 years, with baseline measurements taken as well as 2 two-year follow-up visits. Cognitive function was tested during the baseline test and follow-up visits. A global cognition z-score was calculated based on two domains: word recall and mental intactness. The key independent variables were defined as: whether one had desktops with internet connection at home and whether one had a cellphone. An additional categorical variable of three values was constructed as: 0 (no desktop or cellphone), 1 (desktop or cellphone alone), and 2 (desktop and cellphone both). Mixed-effects regression was adjusted for demographic and health behavior as well as health condition risk factors. Results Adjusted for demographic and health behavior as well as health condition risk factors, desktop and cellphone ownership were independently associated with subsequent decreased cognitive decline over the four-year period. Participants without a desktop at home had an adjusted cognitive decline of –0.16 standard deviations (95% CI –0.18 to –0.15), while participants with a desktop at home had an adjusted cognitive decline of –0.10 standard deviations (95% CI –0.14 to –0.07; difference of –0.06 standard deviations; P=.003). A similar pattern of significantly protective association of 0.06 standard deviations (95% CI 0.03-0.10; P<.001) between cellphone ownership and cognitive function was observed over the four-year period. Additionally, a larger longitudinal protective association on cognitive decline was observed among those with both of the digital devices, although the 95% CIs for the coefficients overlapped with those with a single digital device alone. Conclusions Findings from this study underscored the importance of digital devices as platforms for cognitively stimulating activities to delay cognitive decline. Future studies focusing on use of digital devices are warranted to investigate their longitudinal protective factors against cognitive decline at mid- and later life.
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Dissertations / Theses on the topic "Cognitive informatics"

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Pirmoradian, Mahdi. "Radio resource management for cognitive radio networks." Thesis, Kingston University, 2012. http://eprints.kingston.ac.uk/23723/.

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Cognitive radio concept is a promising technology to cope with the spectrum scarcity issue in the emerging wireless technology. Practical cognitive radio as an intelligent radio is on the horizon, in which the system is able to observe radio environment, understanding its situation, and adapt its transceiver parameters without disruption to the licensed service. The main given functionality of the cognitive radio is dynamic spectrum management using underlay or overlay spectrum-sharing mechanisms. This thesis studies several objectives in cognitive radio networks namely; cumulative interference in multi-user overlay networks, effective capacity optimisation in time varying imperfect fading channels, and diverse spectrum decision schemes (i.e. Maximum Entropy Channel Access, MECA, and Adaptive Spectrum Opportunity Access, ASOA, schemes) in overlay networks. Also Green Cognitive Radio concept is introduced for enhancing energy efficiency in overlay networks. The cumulative interference at a cell-edge active primary receiver is estimated based on the two scenarios, the broadcast of receiver beacon signal and the broadcast of licensed transmitter beacon signal. In the proposed system topology, the cognitive users are distributed within and outside of the licensed coverage area with constant density. The results indicate that cumulative interference significantly gets low level through the broadcast of receiver beacon signal scenario in comparison with the licensed transmitter scenario. Additionally, optimising effective capacity of a secondary user subject to the interference constraint and transmission power constraint factors, in imperfect fading channels is studied. In this case, cross channel state information is a key factor in adapting transmission power and channel capacity accordingly. The numerical results show that effective capacity is influenced upon increasing cross channel error (secondary transmitter-primary receiver link), and QoS delay items. Moreover, the study is completed by proposing power control policy upon minimising interference level at the licensed receiver subject to the desired effective capacity level and transmission power constraint. Hence, performance of the proposed spectrum decision schemes (MECA, ASOA) is examined and explained by comparison with Random Channel Access (RCA), Minimum Channel Rate (MCR), and First Opportunity Channel Access (FOCA) schemes in the period of simulation time. MECA scheme uses weighted entropy function to assess usefulness of the remaining available idle channels, and so selects appropriate spectrum opportunity for secondary data delivery. The performance reveals that MECA and ASOA can potentially be considered as viable approaches in spectrum selection schemes. Additionally, in the case of GCR aspect an opportunistic power control policy using the remaining idle channel lifetime is proposed to mitigate interference power at the primary receiver. Overall, we develop and propose a unique technique in decreasing total interference in overlay networks; effective capacity optimisation in underlay networks, feasible spectrum selection schemes, and also green cognitive radio concept in the field of dynamic spectrum access networks.
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Ramrekha, Tipu Arvind. "Cognitive and adaptive routing framework for mobile ad-hoc networks." Thesis, Kingston University, 2012. http://eprints.kingston.ac.uk/22795/.

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In this thesis, we investigate the field of distributed multi-hopped routing in Mobile Ad Hoc Networks (MANETs). MANETs are suitable for autonomous communication in remote areas lacking infrastructures or in situations where destruction of existing infrastructures prevail. One such important communication service domain is in the field of Public Protection and Disaster Relief (PPDR) services where rescuers require high bandwidth mobile communications in an ad hoc fashion. The main objectives of this thesis is to investigate and propose a realistic framework for cognitive MANET routing that is able to adapt itself to the requirements of users while being constrained by the topological state. We propose to investigate the main proactive and reactive emerging standard MANET routing protocols at the Internet Engineering Task Force (IETF) and extend their functionalities to form a cognitive and adaptive routing approach. We thus propose a cognitive and adaptive routing framework that is better suited for diverse MANET scenarios than state-of-the art protocols mainly in terms of scalability. We also design our approach based on realistic assumptions and suitability for modern Android and iOS devices. In summary, we introduce the area of MANET routing and the state of the art in the field focussing on scalable routing approaches, derive QoS routing models for variable sized MANETs and validate these models using event based ns-2 simulations and analyse the scalable performance of current approaches. As a result we present and evaluate our novel converged cognitive and adaptive routing protocol called ChaMeLeon (CML) for PPDR scenarios. A realistic "Cognitive and Adaptive Module" is then presented that has been implemented in modern smart devices. Finally, we end the thesis with our conclusions and avenues for future work in the field.
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Padilha, Emiliano Gomes. "Modelling turn-taking in a simulation of small group discussion." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/1679.

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The organization of taking turns at talk is an important part of any verbal interaction such as conversation, particularly in groups. Sociologists and psycholinguists have been studying turn-taking in conversation through empirical and statistical analysis, and identified some systematics in it. But to my knowledge no detailed computational modelling of verbal turn-taking has yet been attempted. This thesis describes one such attempt, for a simulation of small group discussion— that is, engaged conversation in groups of up to seven participants, which researchers have found to be much like two-person dialogues with overhearers. The group discussion is simulated by a simple multi-agent framework with a blackboard architecture, where each agent represents a participant in the discussion and the blackboard is their channel of communication, or ‘environment’ of the discussion. Agents are modelled with just a set of probabilistic parameters that give their likelihood of doing the various turn-taking decisions in the simulation: when to talk, when to continue talking, when to interrupt, when to give feedback (“uh huh”), and so on. The simulation, therefore, consists of coordinating a one-at-a-time talk (symbolic talk) with speaker transitions, hesitation, yielding or keeping the floor, and managing simultaneous talk which occurs mostly around speaker transitions. The turn-taking modelling considers whether participants are talking or not, and when they reach points of possible completion in their utterances that correspond to the places of transition-relevance, TRPs, where others could start to speak in attempts to take a new turn of talk. The agent behaviours (acts), their internal states and procedures are then described. The model is expanded with elaborate procedures for the resolution of simultaneous talk, for speaking hesitations and their potential interruption, and for the constraints of the different ‘sorts’ of utterance with respect to turn-taking: whether the TRP is free, or the speaker has selected someone to speak next, has encouraged anyone to speak, or has indicated the course of an extended multi-utterance turn at talk as in sentence beginnings like “first of all,” or “let me tell you something:. . . ”. The model and extensions are then comprehensively analysed through a series of large quantitative evaluations computing various aggregate statistics such as: the total times of single talk, multiple talk and silences; total occurrences of utterances, silences, simultaneous talk, multiple starts, middle-of-utterance attempts at talking, false-starts, abandoned utterances (interrupted by others), and more.
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Hollis, Victoria. "On Being 'Fitter, Happier, and More Productive'| The Impact of Implicit Goals in Affective Personal Informatics." Thesis, University of California, Santa Cruz, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13422472.

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Personal informatics (PI) technologies allow unprecedented opportunities to track and analyze complex data about ourselves. However, a concern is that these technologies can make normative assumptions about user goals and ideal outcomes. Such assumptions could be especially problematic for Affective PI, as there is a risk that technologies which reflect implicit goals for users be more positive or reduce stress could ironically decrease well-being (Mauss et al., 2011). Furthermore, users could actively avoid PI data if they feel unable to meet the demands of the system (Duval & Wicklund, 1972), running counter to the view that users will engage data for beneficial insights (Kersten-van Dijk et al., 2017). We tested whether Affective PI systems that reflect goals for particular emotion outcomes (Improvement) have counterproductive effects for well-being and user engagement. These outcomes were contrasted against systems that instead reflect goals for Self-Knowledge, a top user interest (Hollis et al., 2018). Study 1 examined the effects of implicit goals in the context of an automatic stress detection and feedback system used during an exam. Participants viewed instructions that either describes the system goal as stress reduction (Improvement), stress reduction with a relaxation strategy (Self-Efficacy), accurate self-knowledge (Self-Knowledge), or saw no system goal (Control). Study 2 was a 21-day field study during which participants used a manual emotion-tracking web app that either emphasized a goal of increased positivity (Improvement), a goal of accurate self-knowledge (Self-Knowledge), or only completed pre-post surveys (Control). For each study, participants completed measures of well-being and engagement with the experimental systems. Across both studies, there were no significant condition differences in well-being. However, participants in the Self-Knowledge conditions of both studies considered themselves significantly more successful at achieving the system goals. As a result, Self-Knowledge participants were also more engaged with the stress- and emotion-tracking systems. Unlike prior work showing the ironic effects of emotional positivity goals, we show such negative impacts do not occur in this real-world context. We discuss these results with design implications for self-tracking systems and deepen the theoretical understandings of how users engage with PI.

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Alanzi, Turki. "Mobile diabetes management system for Saudi Arabia embedding social networking and cognitive behavioral therapy modules." Thesis, Kingston University, 2014. http://eprints.kingston.ac.uk/37308/.

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We present in this thesis the design and development of a new mobile diabetes management system for social behavioural change and management tailored for Saudi diabetic patients (SANAD - Saudi Arabia Networking for Aiding Diabetes). The hey goals of SANAD are to close the diabetes management loop by providing remote monitoring for diabetic patients, a further therapeutic channel to the patient, an opportunity to increase diabetic patients' health awareness, and feedback to help diabetic patients maintain a regular blood glucose level. The key system components consist of: (i) a smart mobile diabetes management module (MDM-M) used for collecting blodd glucose data; (ii) a social networking module (SN-M), acting as an enhancement module for the MDM-M, the key function of which is currently focused on education purposes; and (iii) a cognitive behavioral therapy module (CBT-M),a cting as a supplementary module to MDM-M. This module was designed on the smart mobile platform and used only by patients who require CBT therapeutic intervention. A usability study for the SANAD system is also presented in this thesis to validate the acceptability of using mobile technologies amongst diabetic patient in KSA and Gulf region. The preliminary results of the study indicated general acceptance of the patients in using the system with higher usability rating in type 2 diabetic patients. In general, the study concluded that the concept of SANAD system is considered acceptable tool in particularly with Type 2 diabetes patients. A clinical evaluation study of SANAD system is also conducted in this thesis to evaluate the clinical effectiveness of the system. The primary aim of this study was to evaluate the effect of SANAD system on: 1) improve glycaemic control; 2) improve health awareness; and 3) enhance self-efficacy. Secondary aims qualitatively evaluated the content of communication in SANAD system. The key preliminary results of this study provided in evidence that SANAD has a positive impact on promoting knowledge of diabetes in individuals living with type 2 diabetes, and reflects the generally positive outcomes of reducing glycated hemoglobin control (HbAlc (%)), and increasing self-efficacy.
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John, David. "The use of multimedia in telecare systems to improve the performance of users with different cognitive skills." Thesis, Bournemouth University, 2002. http://eprints.bournemouth.ac.uk/10297/.

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This thesis is concerned with the investigation of methods of providing support to non-expert users of telecare systems by creating easy-to-use interfaces and assessing the effect of adapting the interface to suit the cognitive style of individual users. The contributions to knowledge fall into three main areas; firstly the innovations built into a prototype adaptive telecare system, secondly the identification of the sort of tasks and the types of media that best suit different cognitive style groups, and thirdly the proposal of a new dimension of cognitive style that classifies individuals by their perception of visual compared to auditory information. The first phase of the project is concerned with the design and implementation of a prototype adaptive telecare system that demonstrates existing usability principles. The prototype system enables users to communicate over the Internet using text, audio and video, and to enable access to information stored within the system and on the Internet. The adaptive features include the automatic selection of information based on the knowledge of the user and the automatic selection of a presentation style that is based on the way the user perceives information. The system contains a number of innovations that relate to the application of the technology used to build the system, how information is structured, and the design of the style of interaction. The second phase of the project is concerned with assessing the effect of designing interfaces using different media that are suitable for individual users based on how they perceive and process information. Cognitive style is found to significantly affect performance in few tasks, but relative differences of performance are observed between the cognitive style groups in the different types of task and in the different media versions of each task. A major contribution to knowledge is the identification of the tasks and the types of media that suit different cognitive style groups, as this will help developers of multimedia systems to design interfaces that will improve the performance ofusers in each cognitive style group. The major contribution to the field is the proposal of a new visual-auditory dimension of cognitive style. The assessment of cognitive style using a visual test is found to be significantly different to an assessment using an auditory test. An individual's style can be calculated using an existing cognitive styles analysis test augmented by the new audio test presented in chapter 8. The new visual and auditory classification of cognitive style is found to explain the performance of subjects to a greater degree than the old purely visual classification.
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Reitter, David. "Context effects in language production : models of syntactic priming in dialogue corpora." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/3059.

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This thesis addresses the cognitive basis of syntactic adaptation, which biases speakers to repeat their own syntactic constructions and those of their conversational partners. I address two types of syntactic adaptation: short-term priming and longterm adaptation. I develop two metrics for syntactic adaptation within a speaker and between speakers in dialogue: one for short-term priming effects that decay quickly, and one for long-term adaptation over the course of a dialogue. Both methods estimate adaptation in large datasets consisting of transcribed human-human dialogue annotated with syntactic information. Two such corpora in English are used: Switchboard, a collection of spontaneous phone conversation, and HCRC Map Task, a set of task-oriented dialogues in which participants describe routes on a map to one another. I find both priming and long-term adaptation in both corpora, confirming well-known experimental results (e.g., Bock, 1986b). I extend prior work by showing that syntactic priming effects not only apply to selected syntactic constructions that are alternative realizations of the same semantics, but still hold when a broad variety of syntactic phrase structure rules are considered. Each rule represents a cognitive decision during syntactic processing. I show that the priming effect for a rule is inversely proportional to its frequency. With this methodology, I test predictions of the Interactive Alignment Model (IAM, Pickering and Garrod, 2004). The IAM claims that linguistic and situation model agreement between interlocutors in dialogue is the result of a cascade of resource-free, mechanistic priming effects on various linguistic levels. I examine task-oriented dialogue in Map Task, which provides a measure of task success through the deviance of the communicated routes on the maps. I find that long term syntactic adaptation predicts communicative success, and it does so earlier than lexical adaptation. The result is applied in a machine-learning based model that estimates task success based on the dialogue, capturing 14 percent of the variance in Map Task. Short-term syntactic priming differs qualitatively from long term adaptation, as it does not predict task success, providing evidence against learning as a single cognitive basis of adaptation effects. I obtain further evidence for the correlation between semantic activity and syntactic priming through a comparison of the Map Task and Switchboard corpora, showing that short-term priming is stronger in task-oriented dialogue than in spontaneous conversation. This difference is evident for priming between and within speakers, which suggests that priming is a mechanistic rather than strategic effect. I turn to an investigation of the level at which syntactic priming influences language production. I establish that the effect applies to structural syntactic decisions as opposed to all surface sequences of lexical categories. To do so, I identify pairs of part-of-speech categories which consistently cross constituent boundaries defined by the phrase structure analyses of the sentences. I show that such distituents are less sensitive to priming than pairs occurring within constituents. Thus, syntactic priming is sensitive to syntactic structure. The notion of constituent structure differs among syntactic models. Combinatory Categorial Grammar (CCG, Steedman, 2000) formalizes flexible constituent structure, accounting a varying degree of incrementality in syntactic sentence planning. I examine whether priming effects can support the predictions of CCG using the Switchboard corpus, which has been annotated with CCG syntax. I confirm the syntactic priming effect for lexical and non-lexical CCG categories, which encode partially satisfied subcategorization frames. I then show that both incremental and normal-form constituent structures exhibit priming, arguing for language production accounts that support flexible incrementality. The empirical results are reflected in a cognitive model of syntactic realization in language production. The model assumes that language production is subject to the same principles and constraints as any other form of cognition and follows the ACT-R framework (Anderson et al., 2004). Its syntactic process implements my empirical results on priming and is based on CCG. Syntactic planning can take place incrementally and non-incrementally. The model is able to generate simple sentences that vary syntactically, similar to the materials used in the experimental priming literature. Syntactic adaptation emerges due to a preferential and sped-up memory retrieval of syntactic categories describing linearization and subcategorization requirements. Long-term adaptation is explained as a form of learning, while shortterm priming is the result of a combination of learning and spreading activation from semantic and lexical material. Simulations show that the model produces the adaptation effects and their inverse frequency interaction, as well as cumulativity of long-term adaptation.
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Sukarevičienė, Gintarė. "Developing business model for geo-location database for the operation of cognitive radio in the TV white space bands." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120620_111925-58983.

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The aim of this thesis is to analyze how technological, economic, political and social factors can be integrated into Business Model for Geo-location database as a controlling entity for operation of Cognitive Radio devices in the TV White Space spectrum range. Tasks of thesis: to perform an analysis of scientific literature in the context of TVWS and to identify technologies of TVWS management, to find factors influencing Geo-location Database Business Model, to put forward Geo-location Database scenarios, to construct classification of Business Model for the Geo-location Database, to provide experimental study of feasibility to deploy distinct classification of Business Model for the distinct scenarios of Geo-location Database. Qualitative methods chosen for the research: exploratory literature analysis, consultations with experts/specialists and conceptual modelling based on scenarios. The exploratory part of the thesis describes existing spectrum shortage problem and presents potential technologies that can solve this problem. The theoretical part of this work introduces research methodology and the concept and principles of Business Model for technology innovation. Analytical part of the thesis seeks to identify potential Business Model configurations for the operations of Geo-location database in the TV White Space spectrum range. This part ends with presenting experimental study of the feasibility of Geo-location Business Model. The final part of the thesis concludes... [to full text]
Šio darbo tikslas – išanalizuoti, kaip technologiniai, ekonominiai, politiniai ir socialiniai faktoriai gali būti integruoti į verslo modelį, skirtą TV spektro tuštumų geografinei duomenų bazei, naudojančiai sumaniojo radijo ryšio sistemas. Tikslui pasiekti išsikelti uždaviniai: atlikti mokslinės literatūros analizę TV spektro tuštumų tema ir identifikuoti spektro tuštumų valdymo technologijas, nustatyti veiksnius, įtakojančius geografinės duomenų bazės verslo modelį, sudaryti geografinės duomenų bazės verslo scenarijus, sudaryti geografinės duomenų bazės verslo modelių klasifikaciją, nustatyti sudarytos verslo modelių klasifikacijos tinkamumą kiekvienam scenarijui bei nustatyti optimalią verslo modelio konfigūraciją. Uždaviniams įgyvendinti taikyti kokybiniai metodai: mokslinės literatūros analizė, konsultacijos su ekspertais bei specialistais, konceptualus modeliavimas, paremtas scenarijų metodu. Pirmoje darbo dalyje aprašomos egzistuojančios spektro trūkumo problemos ir apžvelgiamos potencialios technologijos, kurios gali išspręsti išanalizuotą problemą. Antroji darbo dalis pristato tyrimo metodus ir nagrinėja verslo modelį bei jo principus, galinčius įtakoti technologijos inovaciją. Trečioji darbo dalis siekia identifikuoti ir įvertinti potencialius TV spektro tuštumų geografinės duomenų bazės verslo modelius. Pateikiamos darbo išvados atsižvelgiant į darbo naudingumą, praktiškumą ir esamus apribojimus. Pagrindiniai darbo rezultatai: nustatyta optimali verslo modelių... [toliau žr. visą tekstą]
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McEwen, Timothy Ryan. "Development and Evaluation of an Ecological Display for the Detection, Evaluation, and Treatment of Cardiovascular Risk." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1386593713.

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Yang, Seungwon. "Automatic Identification of Topic Tags from Texts Based on Expansion-Extraction Approach." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/25111.

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Identifying topics of a textual document is useful for many purposes. We can organize the documents by topics in digital libraries. Then, we could browse and search for the documents with specific topics. By examining the topics of a document, we can quickly understand what the document is about. To augment the traditional manual way of topic tagging tasks, which is labor-intensive, solutions using computers have been developed. This dissertation describes the design and development of a topic identification approach, in this case applied to disaster events. In a sense, this study represents the marriage of research analysis with an engineering effort in that it combines inspiration from Cognitive Informatics with a practical model from Information Retrieval. One of the design constraints, however, is that the Web was used as a universal knowledge source, which was essential in accessing the required information for inferring topics from texts. Retrieving specific information of interest from such a vast information source was achieved by querying a search engine's application programming interface. Specifically, the information gathered was processed mainly by incorporating the Vector Space Model from the Information Retrieval field. As a proof of concept, we subsequently developed and evaluated a prototype tool, Xpantrac, which is able to run in a batch mode to automatically process text documents. A user interface of Xpantrac also was constructed to support an interactive semi-automatic topic tagging application, which was subsequently assessed via a usability study. Throughout the design, development, and evaluation of these various study components, we detail how the hypotheses and research questions of this dissertation have been supported and answered. We also present that our overarching goal, which was the identification of topics in a human-comparable way without depending on a large training set or a corpus, has been achieved.
Ph. D.
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Books on the topic "Cognitive informatics"

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Zheng, Kai, Johanna Westbrook, Thomas G. Kannampallil, and Vimla L. Patel, eds. Cognitive Informatics. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16916-9.

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Patel, Vimla L., Thomas G. Kannampallil, and David R. Kaufman, eds. Cognitive Informatics for Biomedicine. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17272-9.

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Wang, Yingxu, Du Zhang, and Witold Kinsner, eds. Advances in Cognitive Informatics and Cognitive Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16083-7.

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Jeena Jacob, I., Selvanayaki Kolandapalayam Shanmugam, Selwyn Piramuthu, and Przemyslaw Falkowski-Gilski, eds. Data Intelligence and Cognitive Informatics. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8530-2.

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Mallick, Pradeep Kumar, Valentina Emilia Balas, Akash Kumar Bhoi, and Gyoo-Soo Chae, eds. Cognitive Informatics and Soft Computing. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1451-7.

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Mallick, Pradeep Kumar, Valentina Emilia Balas, Akash Kumar Bhoi, and Ahmed F. Zobaa, eds. Cognitive Informatics and Soft Computing. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-0617-4.

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Jeena Jacob, I., Selvanayaki Kolandapalayam Shanmugam, Selwyn Piramuthu, and Przemyslaw Falkowski-Gilski, eds. Data Intelligence and Cognitive Informatics. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8530-2.

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Patel, Vimla L., Jose F. Arocha, and Jessica S. Ancker, eds. Cognitive Informatics in Health and Biomedicine. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51732-2.

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Patel, Vimla L., David R. Kaufman, and Trevor Cohen, eds. Cognitive Informatics in Health and Biomedicine. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5490-7.

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Wang, Yingxu. Cognitive informatics for revealing human cognition: Knowledge manipulations in natural intelligence. Hershey, PA: Information Science Reference, 2013.

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Book chapters on the topic "Cognitive informatics"

1

Patel, Vimla L., and David R. Kaufman. "Cognitive Informatics." In Biomedical Informatics, 121–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58721-5_4.

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Larue, Othalia, Pierre Poirier, and Roger Nkambou. "A Cognitive Architecture Based on Cognitive/Neurological Dual-System Theories." In Brain Informatics, 288–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35139-6_27.

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Ogiela, Lidia, and Marek R. Ogiela. "Fundamentals of Cognitive Informatics." In Cognitive Systems Monographs, 19–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25246-4_2.

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Patel, Vimla L., and David R. Kaufman. "Cognitive Science and Biomedical Informatics." In Health Informatics, 133–85. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-36278-9_4.

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Patel, Vimla L., and David R. Kaufman. "Cognitive Science and Biomedical Informatics." In Biomedical Informatics, 109–48. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4474-8_4.

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Horsky, Jan. "Cognitive Behavior and Clinical Workflows." In Health Informatics, 9–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16916-9_2.

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Nishida, Toyoaki, Atsushi Nakazawa, Yoshimasa Ohmoto, and Yasser Mohammad. "Cognitive Design for Discussion Support." In Conversational Informatics, 259–93. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55040-2_11.

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Ogiela, Lidia. "Cognitive Informatics in Automatic Pattern Understanding and Cognitive Information Systems." In Studies in Computational Intelligence, 209–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16083-7_11.

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Longo, Luca, and Stephen Barrett. "Cognitive Effort for Multi-agent Systems." In Brain Informatics, 55–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15314-3_6.

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Devarakonda, Murthy V., and Neil Mehta. "Cognitive Computing for Electronic Medical Records." In Health Informatics, 555–77. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20765-0_32.

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Conference papers on the topic "Cognitive informatics"

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Robert, Farkas. "Cognitive informatics and media." In 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2013. http://dx.doi.org/10.1109/coginfocom.2013.6719217.

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Yingxu Wang. "A cognitive informatics theory for visual information processing." In 2008 7th IEEE International Conference on Cognitive Informatics (ICCI). IEEE, 2008. http://dx.doi.org/10.1109/coginf.2008.4639184.

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Massey, L. "A cognitive informatics framework for language understanding." In Cognitive Computing (ICCI-CC). IEEE, 2011. http://dx.doi.org/10.1109/coginf.2011.6016137.

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Sheu, Phillip. "Semantic computing and cognitive computing/informatics." In 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2017. http://dx.doi.org/10.1109/icci-cc.2017.8109801.

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Yao, Yiyu. "Granular Computing and Cognitive Informatics." In 2006 5th IEEE International Conference on Cognitive Informatics. IEEE, 2006. http://dx.doi.org/10.1109/coginf.2006.365670.

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Kinsner, W. "Some advances in cognitive informatics." In Fourth IEEE Conference on Cognitive Informatics, 2005. (ICCI 2005). IEEE, 2005. http://dx.doi.org/10.1109/coginf.2005.1532609.

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Hsu, D. Frank. "Cognitive diversity in perceptive informatics and affective computing." In 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2013. http://dx.doi.org/10.1109/icci-cc.2013.6622219.

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Ogiela, Lidia, Ryszard Tadeusiewicz, and Marek R. Ogiela. "Cognitive Informatics in Automatic Pattern Understanding." In 6th IEEE International Conference on Cognitive Informatics. IEEE, 2007. http://dx.doi.org/10.1109/coginf.2007.4341875.

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Tiansi Dong. "Cognitive prism: A bridge between meta cognitive model and higher cognitive models." In 2008 7th IEEE International Conference on Cognitive Informatics (ICCI). IEEE, 2008. http://dx.doi.org/10.1109/coginf.2008.4639158.

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Rubio, F., and I. Rodriguez. "A parallel language for cognitive informatics." In Proceedings of the Third IEEE International Conference on Cognitive Informatics, 2004. IEEE, 2004. http://dx.doi.org/10.1109/coginf.2004.1327457.

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Reports on the topic "Cognitive informatics"

1

Breznitz, Shlomo, Hasida Ben-Zur, and Naomi Vardi. Enhancing Cognitive Performance by Information Management Techniques. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada309122.

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Manohar, Rajit. A High-Performance Reconfigurable Fabric for Cognitive Information Processing. Fort Belvoir, VA: Defense Technical Information Center, December 2010. http://dx.doi.org/10.21236/ada534563.

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3

Flach, John, and Golbert G. Kuperman. Victory by Design: War, Information, and Cognitive Systems Engineering. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada358305.

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Sampson, James P., Debra S. Osborn, Emily Bullock-Yowell, Janet G. Lenz, Gary W. Peterson, Robert C. Reardon, V. Casey Dozier, Stephen J. Leierer, Seth C. W. Hayden, and Denise E. Saunders. An Introduction to Cognitive Information Processing Theory, Research, and Practice. Florida State University Libraries, August 2020. http://dx.doi.org/10.33009/fsu.1593091156.

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The primary purpose of this paper is to introduce essential elements of cognitive information processing (CIP) theory, research, and practice as they existed at the time of this writing. The introduction that follows describes the nature of career choices and career interventions, and the integration of theory, research, and practice. After the introduction, the paper continues with three main sections that include CIP theory related to vocational behavior, research related to vocational behavior and career intervention, and CIP theory related to career interventions. The first main section describes CIP theory, including the evolution of CIP theory, the nature of career problems, theoretical assumptions, the pyramid of information processing domains, the CASVE Cycle, and the use of the pyramid and CASVE cycle. The second main section describes CIP theory-based research in examining vocational behavior and establishing evidence-based practice for CIP theory-based career interventions. The third main section describes CIP theory related to career intervention practice, including theoretical assumptions, readiness for career decision making, readiness for career intervention, the differentiated service delivery model, and critical ingredients of career interventions. The paper concludes with regularly updated sources of information on CIP theory.
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Law, David J., Kevin A. Morrin, and James W. Pellegrino. Complex Information Coordination Performance: Differential Changes in Working Memory Contributions Following Training. Cognitive Components of Information Coordination. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada267007.

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Perusich, Karl, and Michael D. McNeese. Understanding and Modeling Information Dominance in Battle Management: Applications of Fuzzy Cognitive Maps. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada352913.

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Howell, William C., David M. Lane, and Kritina L. Holden. Human Cognition and Information Display in C3I System Tasks. Fort Belvoir, VA: Defense Technical Information Center, December 1988. http://dx.doi.org/10.21236/ada210012.

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Stephens, Robert L. The Relationship Between Cognitive Ability and the Iconic Processing of Spatial and Identity Information. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada208586.

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Shinohara, Kazumitsu, Yuichi Komada, Takahiko Kimura, Toshiaki Miura, Masaro Kogure, and Toshimasa Yamamoto. Cognitive Load by Processing of Visual Information Obtained From an In- Vehicle Information Device and Detection of Hazard in the Driving Situation. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0444.

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Redden, Elizabeth S., William Harris, David Miller, and Daniel D. Turner. Cognitive Load Study Using Increasingly Immersive Levels of Map-based Information Portrayal on the End User Device. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada569544.

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