Relevant bibliographies by topics / Mental model

Academic literature on the topic 'Mental model'

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Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Mental model"

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Rowe, Anna L., Nancy J. Cooke, Kelly J. Neville, and Chris W. Schacherer. "Mental Models of Metal Models: A Comparison of Mental Model Measurement Techniques." Proceedings of the Human Factors Society Annual Meeting 36, no. 16 (October 1992): 1195–99. http://dx.doi.org/10.1177/154193129203601603.

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Although use of the mental model construct has proliferated in recent research, the construct lacks a clear definition and an agreed upon method of measurement. Furthermore, the reliability and validity of the different measurement techniques in use have not been established, thereby making generalizations across studies of mental models difficult. The purpose of the current project was to assess several methods of measuring mental models in terms of their reliability/stability over time. Subjects” mental models of the automobile engine system were elicited on two occasions separated by one week, using seven different knowledge elicitation techniques. Subjects” level of experience was also measured to allow comparisons between experts and novices. The results indicate that each of the measurement techniques tended to be reliable for both experts and novices. However, reliability tended to be greater for experts than novices. Additionally, experts tended to agree with each other more than did the novices. Some evidence also indicated that the results from the similarity ratings and subsequent Pathfinder analysis converged with those from the structured interviews.
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Radvansky, Gabriel A., Daniel H. Spieler, and Rose T. Zacks. "Mental model organization." Journal of Experimental Psychology: Learning, Memory, and Cognition 19, no. 1 (1993): 95–114. http://dx.doi.org/10.1037/0278-7393.19.1.95.

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Kaszás, Beáta, and István Tiringer. "Selection, optimization, compensation: Baltes’ model of the elderly’s adaptation processes." Mentálhigiéné és Pszichoszomatika 11, no. 3 (September 2010): 191–208. http://dx.doi.org/10.1556/mental.11.2010.3.2.

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Lewis, C. "A model of mental model construction." ACM SIGCHI Bulletin 17, no. 4 (April 1986): 306–13. http://dx.doi.org/10.1145/22339.22388.

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Patidar, Teena, and Prof Avinash Sharma. "Study on Social Network Mental Disorder Detection Based Markov Model." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 415–18. http://dx.doi.org/10.31142/ijtsrd21398.

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Peterson, Robert F. "On Sperry's mental model." American Psychologist 45, no. 1 (1990): 70–71. http://dx.doi.org/10.1037/0003-066x.45.1.70.b.

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Wright, Robert. "A Better Mental Model." Sciences 26, no. 2 (March 4, 1986): 8–10. http://dx.doi.org/10.1002/j.2326-1951.1986.tb02834.x.

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Guan, Li, Bibo Hao, Qijin Cheng, Paul SF Yip, and Tingshao Zhu. "Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model." JMIR Mental Health 2, no. 2 (May 12, 2015): e17. http://dx.doi.org/10.2196/mental.4227.

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Background Traditional offline assessment of suicide probability is time consuming and difficult in convincing at-risk individuals to participate. Identifying individuals with high suicide probability through online social media has an advantage in its efficiency and potential to reach out to hidden individuals, yet little research has been focused on this specific field. Objective The objective of this study was to apply two classification models, Simple Logistic Regression (SLR) and Random Forest (RF), to examine the feasibility and effectiveness of identifying high suicide possibility microblog users in China through profile and linguistic features extracted from Internet-based data. Methods There were nine hundred and nine Chinese microblog users that completed an Internet survey, and those scoring one SD above the mean of the total Suicide Probability Scale (SPS) score, as well as one SD above the mean in each of the four subscale scores in the participant sample were labeled as high-risk individuals, respectively. Profile and linguistic features were fed into two machine learning algorithms (SLR and RF) to train the model that aims to identify high-risk individuals in general suicide probability and in its four dimensions. Models were trained and then tested by 5-fold cross validation; in which both training set and test set were generated under the stratified random sampling rule from the whole sample. There were three classic performance metrics (Precision, Recall, F1 measure) and a specifically defined metric “Screening Efficiency” that were adopted to evaluate model effectiveness. Results Classification performance was generally matched between SLR and RF. Given the best performance of the classification models, we were able to retrieve over 70% of the labeled high-risk individuals in overall suicide probability as well as in the four dimensions. Screening Efficiency of most models varied from 1/4 to 1/2. Precision of the models was generally below 30%. Conclusions Individuals in China with high suicide probability are recognizable by profile and text-based information from microblogs. Although there is still much space to improve the performance of classification models in the future, this study may shed light on preliminary screening of risky individuals via machine learning algorithms, which can work side-by-side with expert scrutiny to increase efficiency in large-scale-surveillance of suicide probability from online social media.
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Wang, Xinqiang, Dajun Zhang, and Jinliang Wang. "Dual-Factor Model of Mental Health: Surpass the Traditional Mental Health Model." Psychology 02, no. 08 (2011): 767–72. http://dx.doi.org/10.4236/psych.2011.28117.

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Dewi, Komang Melina, I. Wayan Suja, and I. Dewa Ketut Sastrawidana. "MODEL MENTAL SISWA TENTANG TERMOKIMIA." Jurnal Pendidikan Kimia Undiksha 2, no. 2 (September 30, 2018): 45. http://dx.doi.org/10.23887/jjpk.v2i2.21165.

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AbstrakPenelitian ini bertujuan mendeskripsikan dan menjelaskan profil model mental dan faktor-faktor penyebab terbentuknya model mental alternatif siswa kelas XI tentang termokimia di SMA Negeri Bali Mandara. Penelitian ini menggunakan mixed methods jenis sekuensial. Pengumpulan data dilakukan dengan observasi, pemberian tes hasil belajar dua tingkat, dan wawancara. Analisis data dilakukan secara deskriptif berdasarkan hubungan antara jawaban siswa dan argumentasinya dengan melibatkan tiga level kimia. Teknik analisis data hasil wawancara meliputi tahap reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian ini menunjukkan bahwa profil model mental siswa kelas XI tentang termokimia, meliputi 1,94 % model mental ilmiah dan 98,05% model mental alternatif, yang terdiri atas 28,19% miskonsepsi khusus dan 69,86% benar sebagian. Faktor-faktor penyebab terbentuknya model mental alternatif pada pikiran siswa, meliputi rendahnya minat belajar siswa, kurangnya pemahaman siswa tentang termokimia, kurangnya perhatian siswa ketika pembelajaran, metode mengajar yang diterapkan guru tidak mencankup tiga level kimia dan padatnya kegiatan sekolah.Kata-kata kunci : termokimia, model mental, model mental alternatif.AbstractThis research was aimed describe and explain the profile of the mental models and the factors that cause the formation of alternative mental models of class XI students about thermochemistry at Bali Mandara High School. This research uses a sequential type mixed methods. Data collection was carried out by observation, giving two-level learning outcomes tests, and interviews. Data analysis is carried out descriptively, based on the relationship between student answers and their arguments involving three chemical levels. The technique of analyzing data from interviews includes the stages of data reduction, data presentation, and conclusion drawing. The results of this research indicate that the profile of the mental model of class XI students about thermochemistry includes 1.94% of the scientific mental model and 98.05% of the alternative mental models, which consist of 28.19% special misconceptions and 69.86% are partly correct. Factors that cause the formation of alternative mental models on the minds of students, including the low interest in student learning, lack of student understanding of thermochemistry, lack of attention of students when learning, teaching methods applied by teachers do not cover three chemical levels and the density of school activities.Key words: thermochemistry, mental models, alternative mental models.
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Dissertations / Theses on the topic "Mental model"

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Hammarbäck, Jimmy. "Finding paths or getting lost? : Examining the mental model construct and mental model methodology." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140684.

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Mental models have been a popular concept for more than 30 years and used to explain many phenomena of human life – from logical reasoning and problem-solving to narrative comprehension and the understanding of complex dynamic systems. As such, the mental model has been studied with a great variety of techniques, from the cognitive interview and verbal protocol analysis to observations and computer-based network algorithms. However, while the concept has a keen interest, there exists no consensus on what a mental model is. Nor what methods to use when studying them. Instead, most researchers have used their own vague, and often intuitive, descriptions of the construct, resulting in an abundance of incomplete and incompatible concepts that have been studied without many methodological considerations. This thesis aims to examine the mental model concept, and provide a working definition by describing associated functions, characteristics and nature. Moreover, a new methodological framework is developed and used as means to highlight mental model methodological issues. Lastly, given the lack of mental model methodological issues in research, the Pathfinder technique is validated as a starting point of this important field of study. Among the results, it is concluded that the Pathfinder technique is not valid. Consequently, researchers should be wary of Pathfinder technique’s limited use in complex domains, such as information security.
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Paterson, Marty. "A mental health model of older Canadians." Mémoire, Université de Sherbrooke, 2007. http://savoirs.usherbrooke.ca/handle/11143/2567.

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Malgré des études prolifiques sur le bien-être et la détresse psychologique, peu d'études ont testé la relation entre ces domaines de la santé mentale. De plus, il y a peu de modèles de la santé mentale qui ont été validés auprès des personnes âgées. II est essentiel de comprendre la notion de santé mentale des personnes agées étant donné le nombre important que represents cette population. Obiectifs : L'objectif de cette étude était de tester un modèle de mesure de la santé mentale chez les Canadiennes et Canadiens agés. Une validation de construit a été realisée pour les échelles de mesures du bien-être et la détresse psychologique et l'hypothèse d'indépendance des deux dimensions a été examinée. Le modèle a été testé selon le sexe et l'âge. Méthodoloqie : Les données proviennent de L'Enquête sur la santé dans les collectivités canadiennes - Cycle 1.2 - Santé mentale et Bien-être de Statistique Canada (2002). Cette étude épidemiologique transversale a été realisée auprès de 37 000 canadiens vivant dans la communauté dont 8 000 personnes de 65 ans et plus. Les échelles de mesures incluent l'Echelle de mesure des manifestations de bien-être psychologique de Masse et al. et le K10, une mesure de détresse psychologique developpée par Kessler et al. Les modèles d'équations structurales ont été testés à l'aide de la version 8.71 de LISREL. Résultats : Le modèle 2-facteur était valide pour les hommes et les femmes ages de 55 - 74 et 75 et plus. Ses résultats sont en accord avec la littérature. L'échele du bien être besoin plus d'études de validation. Des échantillons plus grands des personnes âgées ont nécessaires pour valider l'étude étant donne les méthodes utilités.
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Stetzer, Michael W. Jr. "Shared mental models' impact on the onboarding process." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/34553.

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Doctor of Philosophy
Department of Psychological Sciences
Patrick A. Knight
The present study examined onboarding information acquisition and the mediated impact of shared mental model on newcomers' organizational commitment, job satisfaction, and intentions to quit. Onboarding is the initial stage of the socialization process that provides information pertinent to facilitating newcomers' transition into the organization. Previous research stated that a dearth in the socialization literature existed pertaining to intra-individual cognitive mediators. As a result, the present study identified and evaluated the variable, shared mental model, as an underlying mechanism through which information acquisition operated within the onboarding process. The study postulated that newcomers actively evaluated for perceived congruency their own mental models with those espoused by the organization with these perceptions influencing individual organizational commitment, job satisfaction, and intentions to quit. Data were collected via Qualtrics from 305 full-time employees who were experiencing onboarding at the time of study. Participants completed a series of scales relevant to newcomer information seeking behavior, clarity of job role and work processes, and specific organizational outcomes (e.g., organizational commitment, job satisfaction, and intentions to quit) through an online data collection hub. A confirmatory factor analysis supported the factor structures for each of the latent variables (the antecedent, mediator, three socialization outcomes) evaluated in the present study. The proposed mediated socialization process was then examined by way of structural equation modeling. Results showed that shared mental models did mediate the relationships between newcomer employee behaviors and specific socialization outcomes. Furthermore, relationships between the antecedent, newcomer employee behaviors, and two of the socialization consequences, organizational commitment and job satisfaction, appeared to be fully mediated by the presence of shared mental models in the analysis (the intentions to quit relationship was partially mediated). Practical and theoretical implications, in addition to limitations and recommendations of the research are discussed.
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Senior, Jane. "The development of prison mental health services based on a community mental health model." Thesis, University of Manchester, 2005. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:85467.

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Young, Christopher John. "Decompressing the Mental Number Line." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250616640.

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Andresen, Retta. "The experience of recovery from schizophrenia development of a definition, model and measure of recovery /." Access electronically, 2007. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20080703.161126/index.html.

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Dienes, Kimberly Ann. "The biopsychosocial model of risk for depression." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1627039411&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Pulcins, Indra R. "Self-help in mental health : operationalizing a conceptual model." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/26597.

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This study aims to examine the self-help mode of care giving in mental health, especially the manner in which the working self-help model differs from its theoretical counterpart. For this purpose, a conceptual model of operationalizing self-help has been developed. This model traces the process of establishing self-help groups, from theory to practice, and incorporates the barriers such groups may face in becoming a viable alternative to the current health care system. These include the effects of public policy, the professional and the community. The results of this study, based on empirical evidence collected in Vancouver, B.C., suggest that at least to some extent, this model does accurately depict the processes involved with the operationalization of a self-help model, as well as the factors impinging on a full realization of self-help goals. Both public policy and professional influences serve to act as direct constraints to the full implementation of self-help. The community does not share this characteristic, partially due to favourable zoning policy in Vancouver. In spite of these barriers, self-help groups are able to function as an effective alternative. However, it is demonstrated that some of their original goals have not been fulfilled. In conclusion, a theoretical perspective, in the context of Marx and Weber, is outlined, thereby suggesting some of the broader issues associated with implementing a self-help model.
Arts, Faculty of
Geography, Department of
Graduate
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Wilkison, Bart D. "Effects of mental model quality on collaborative system performance." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22661.

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Wilkie, Andrew O. M. "The #alpha# thalassaemia/mental retardation syndromes : model systems for studying the genetic contribution to mental handicap." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292326.

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Books on the topic "Mental model"

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Adisasmito, Lilik Sudarwati. Mental juara: Model atlet berprestasi. Jakarta: Rajagrafindo Persada, 2007.

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Beyond the disease model of mental disorders. Westport, Conn: Praeger, 1999.

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Peter, Huxley, ed. Common mental disorders: A bio-social model. London: Tavistock/Routledge, 1992.

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Emotionality and mental illness: A multi-dimensional model. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Eclectic counselling: Working with an integrated model. Palmerston North, N.Z: Inside-Out Books, 1992.

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Practical psychiatry: Common sense, compassion, and the medical model. Springfield, Ill., USA: C.C. Thomas, 1993.

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Barker, Philip J. The tidal model: A guide for mental health professionals. Hove: Brunner-Routledge, 2005.

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Poppy, Buchanan-Barker, ed. The tidal model: A guide for mental health professionals. New York, NY: Brunner-Routledge, 2004.

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Civil committment: A therapeutic jurisprudence model. Durham, N.C: Carolina Academic Press, 2005.

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M, Gray-Ice Helen, and Prentice Florence R, eds. Family functioning: The general living systems research model. New York: Kluwer Academic/Plenum Publishers, 2000.

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Book chapters on the topic "Mental model"

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Scott, Rodney. "Mental Model Alignment." In Group Model Building, 55–68. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8959-6_6.

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Edwards, Lacey. "Psychodynamic Model." In Aging and Mental Health, 69–88. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119133186.ch4.

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Vosniadou, Stella. "Mental Models in Conceptual Development." In Model-Based Reasoning, 353–68. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0605-8_20.

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Bratina, Michele P. "The Sequential Intercept Model." In Forensic Mental Health, 65–85. 2nd ed. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003120186-3.

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Bratina, Michele P. "The Sequential Intercept Model." In Forensic Mental Health, 53–73. New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315677460-3.

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Memon, Tasneem, Jie Lu, and Farookh Khadeer Hussain. "An Enhanced Mental Model Elicitation Technique to Improve Mental Model Accuracy." In Neural Information Processing, 82–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42054-2_11.

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Fletcher, Robert J. "A County Systems Model: Comprehensive Services for the Dually Diagnosed." In Mental Retardation and Mental Health, 254–64. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3758-7_23.

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Meilikov, Evgeny, and Rimma Farzetdinova. "Analytic Model of Mental Rotation." In Advances in Neural Computation, Machine Learning, and Cognitive Research IV, 71–84. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60577-3_8.

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Groesser, Stefan N. "Mental Model of Dynamic Systems." In Encyclopedia of the Sciences of Learning, 2195–200. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_1838.

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Yokota, Masao. "Computational Model of Mental Image." In Natural Language Understanding and Cognitive Robotics, 64–73. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429343391-5.

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Conference papers on the topic "Mental model"

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von Saucken, C., I. Michailidou, and U. Lindemann. "Emotional mental model." In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2013. http://dx.doi.org/10.1109/ieem.2013.6962522.

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Lewis, C. "A model of mental model construction." In the SIGCHI conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/22627.22388.

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Meilikhov, Evgeny, and Rimma Farzetdinova. "NEUROBIOLOGICAL MODEL OF MENTAL ROTATION." In XVI International interdisciplinary congress "Neuroscience for Medicine and Psychology". LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1151.sudak.ns2020-16/320-321.

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Abdul Razak, Fariza Hanis, Rafidah Sulo, and Wan Adilah Wan Adnan. "Elderly mental model of reminder system." In the 10th asia pacific conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2350046.2350086.

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BRESSAN, Flávio. "LEADERSHIP DEVELOPMENT: DOES MENTAL MODEL MATTER?" In Anais do XI CASI - Congresso de Administração, Sociedade e Inovação. Recife, Brasil: Even3, 2018. http://dx.doi.org/10.29327/15169.11-3.

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Albalawi, Tahani, Kambiz Ghazinour, and Austin Melton. "Security Mental Model: Cognitive Map Approach." In 2017 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2017. http://dx.doi.org/10.1109/csci.2017.12.

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Lewis, Matthew, and Lola Canamero. "Using Robots to Model Mental Disorders." In UK-RAS Conference: Robots Working For and Among Us. EPSRC UK-RAS Network, 2018. http://dx.doi.org/10.31256/ukras17.39.

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Xiaofan Qian and Ying Yang. "User mental model of hypermedia system." In 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design. IEEE, 2009. http://dx.doi.org/10.1109/caidcd.2009.5375271.

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FAYAD, MOHAMED. "Expert mental model for software maintenance." In 8th Computing in Aerospace Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-3804.

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Vajre, Vedant, Mitch Naylor, Uday Kamath, and Amarda Shehu. "PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis." In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2021. http://dx.doi.org/10.1109/bibm52615.2021.9669469.

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Reports on the topic "Mental model"

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Kelley, Troy D., Frank J. Lee, and Patrick W. Wiley. Developing an ACT-R Model of Mental Manipulation. Fort Belvoir, VA: Defense Technical Information Center, May 2000. http://dx.doi.org/10.21236/ada378078.

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Sterling, Bruce S., and Chuck H. Perala. Team Mental Model and Team Behavior as a Function of Interface Modality. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada444487.

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Brick, Aoife, Conor Keegan, and Maev-Ann Wren. Utilisation of specialist mental health services in Ireland - Baseline analysis for the Hippocrates model. ESRI, June 2020. http://dx.doi.org/10.26504/sustat90.

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Hubal, Robert C. Mental Models for Effective Training: Comparing Expert and Novice Maintainers' Mental Models. Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada499530.

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Cohen, Marvin S., Bryan B. Thompson, Leonard Adelman, Terry A. Bresnick, and Martin A. Tolcott. Rapid Capturing of Battlefield Mental Models. Fort Belvoir, VA: Defense Technical Information Center, July 1997. http://dx.doi.org/10.21236/ada336079.

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Turner, Althea A. Mental Models and User-Centered Design. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada227587.

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Shobe, Katharine K., Stephen M. Fiore, and Walter Carr. Development of Shared Mental Models for Submarine Officers. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada427805.

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Barbuscia, Anna, and Chiara Comolli. Gender and socioeconomic inequalities in health and wellbeing across age in France and Switzerland. Verlag der Österreichischen Akademie der Wissenschaften, June 2021. http://dx.doi.org/10.1553/populationyearbook2021.res2.2.

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There is increasing evidence that wellbeing is unequally distributed across sociodemographicgroups in contemporary societies. However, less is known about thedivergence across social groups of trajectories of wellbeing across age groups.This issue is of great relevance in contexts characterised by changing populationstructures and growing imbalances across and within generations, and in whichensuring that everyone has the opportunity to have a happy and healthy life courseis a primary welfare goal. In this study, we investigate wellbeing trends in Franceand Switzerland across age, gender, and socioeconomic status groups. We use twohousehold surveys (the Sant´e et Itin´eraires Professionnels and the Swiss HouseholdPanel) to compare the unfolding inequalities in health and wellbeing across agegroups in two rich countries. We view wellbeing as multidimensional, followingthe literature highlighting the importance of considering different dimensions andmeasures of wellbeing. Thus, we investigate a number of outcomes, includingdifferent measures of physical and mental health, as well as of relational wellbeing,using a linear regression model and a linear probability model. Our findings showinteresting country and dimension-specific heterogeneities in the development ofhealth and wellbeing over age. While our results indicate that there are gender andeducational inequalities in both Switzerland and France, and that gender inequalitiesin mental health accumulate with age in both countries, we also find that educationalinequalities in health and wellbeing remain rather stable across age groups.
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Knouse, Stephen B. Diversity and Shared Team Mental Models in the Military. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada403424.

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10

McComb, Sara. Exploring the Content of Shared Mental Models in Project Teams. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada443206.

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