Relevant bibliographies by topics / IQ

Academic literature on the topic 'IQ'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "IQ"

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Martinez, Monica. "Does Group IQ Trump Individual IQ?" Phi Delta Kappan 92, no. 1 (September 2010): 72–73. http://dx.doi.org/10.1177/003172171009200114.

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Burroughs, Eileen. "High iq." Nursing Standard 3, no. 51 (September 16, 1989): 46. http://dx.doi.org/10.7748/ns.3.51.46.s40.

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Mező, Ferenc. "IQ-PARADOXON." Különleges Bánásmód - Interdiszciplináris folyóirat 2, no. 1 (March 30, 2016): 43–60. http://dx.doi.org/10.18458/kb.2016.1.43.

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Az IQ paradoxon: noha az új generációk intellektuális képességei egyre jobbak (ez az úgynevezett Flynn-effektus, az intellektuális növekedés sebessége 3 IQ-pont évtizedenként), az átlagos IQ minden generáció esetében 100 IQ marad. E cikk az IQ-paradoxon hátterének következő tényezőit mutatja be: az intelligencia fogalma, tesztjei és pontszám-típusai; és demonstrálja a Flynn-effektus sebesség-rátájának abszurd következményeit. Végül a cikk magyarázatot ad az IQ-paradoxonra.
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Lezak, Muriel D. "IQ: R.I.P." Journal of Clinical and Experimental Neuropsychology 10, no. 3 (June 1988): 351–61. http://dx.doi.org/10.1080/01688638808400871.

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Hess, Cathy Thomas. "SKIN IQ." Advances in Skin & Wound Care 17, no. 3 (April 2004): 104. http://dx.doi.org/10.1097/00129334-200404000-00005.

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Hess, Cathy Thomas. "SKIN IQ." Advances in Skin & Wound Care 17, no. 4 (May 2004): 160. http://dx.doi.org/10.1097/00129334-200405000-00006.

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&NA;. "SKIN IQ." Advances in Skin & Wound Care 17, no. 6 (2004): 277. http://dx.doi.org/10.1097/00129334-200407000-00003.

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&NA;. "SKIN IQ." Advances in Skin & Wound Care 17, no. 7 (September 2004): 332. http://dx.doi.org/10.1097/00129334-200409000-00007.

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&NA;. "SKIN IQ." Advances in Skin & Wound Care 17, no. 8 (October 2004): 402. http://dx.doi.org/10.1097/00129334-200410000-00007.

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&NA;. "SKIN IQ." Advances in Skin & Wound Care 18, no. 1 (January 2005): 19. http://dx.doi.org/10.1097/00129334-200501000-00008.

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Dissertations / Theses on the topic "IQ"

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Conocimiento, Dirección de Gestión del. "Capital IQ." S&P Global, 2004. http://hdl.handle.net/10757/655267.

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Salih, Pola. "Kvällsmänniskor mer intelligenta än morgonmänniskor : Samband mellan IQ och dygnsrytm, IQ och sömnvanor, samt mellan kön och IQ." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-30671.

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Intelligens handlar om förmågan att förstå, lösa problem, planera, tänka abstrakt, bearbeta information, tillgodogöra sig ny kunskap, samt förmågan att anpassa sig till sin miljö. Tidigare studier visar att kvällsmänniskor har högre IQ än morgonmänniskor. En orsak är att intelligenta personer är mer progressiva. Studier visar också att det inte finns könsskillnader i IQ. I denna studie undersöks om det finns ett samband mellan intelligens och dygnsrytm, samt mellan intelligens och faktiska sovtider. Ett annat syfte med denna undersökning var att undersöka om det finns skillnader i intelligens mellan män och kvinnor. Experimentet bistod av 250 deltagare, varav 151 kvinnor och 99 män i åldrarna 15-60. Ravens Standard Progressive Matrices användes för att mäta deltagarnas IQ. Morningness-Eveningness Questionnaire (MEQ) användes för att ta reda på deltagarnas dygnsrytm, och deltagarnas faktiska sovtider skrevs i timme och minut. Resultaten visade att kvällsmänniskor har i genomsnitt högre IQ än morgonmänniskor. Ett samband mellan deltagarnas faktiska sovtider och IQ fanns inte. Vidare visade resultaten att det inte finns någon skillnad i IQ mellan män och kvinnor.
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Kazlauskaitė, Agnė. "Pradinio mokyklinio amžiaus vaikų tyrimo WASI ir WISC-III lyginamoji analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20140623_182433-62410.

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WISC-III LT - kol kas vienintelė standartizuota ir adaptuota metodika, skirta vaikų nuo 6 iki 16 metų intelektiniams gebėjimas tirti. Neseniai Wechslerio intelekto testų „šeima“ papildė WASI metodika, skirtas asmenų nuo 6 iki 89 metų bendriesiems intelektiniams, verbaliniams ir neverbaliniams gebėjimas tirti. Šiuo metu ir Lietuvoje vyksta pastarosios metodikos standartizavimo ir adaptavimo darbai. Šio tyrimo tikslas, palyginti pradinių klasių moksleivių intelektinių gebėjimų rezultatus, gautus tiriant WISC-III LT ir WASI metodikomis, ir nustatyti, ar WASI metodika matuoja tuos pačius intelektinius gebėjimus kaip ir WISC-III LT intelekto testas. Tyrime dalyvavo 30 tiriamųjų, iš jų 13 berniukų ir 17 mergaičių, gyvenančių Akmenės rajone. Tyrimas vyko dviem etapais: 16 vaikų pirmame tyrimo etape buvo tiriami WISC-III Lt metodika, o antrame - WASI metodika, 14 tiriamųjų pirmame etape buvo tiriami WASI metodika, antrame – WISC-III LT metodika. Tyrimo rezultatai parodė, kad gautas statistikai reikšmingas ryšys, tarp Bendro IQ, tirto WISC-III LT ir WASI metodikomis. Gauti duomenys rodo, kad koreliacija tarp Bendro IQ, tiriant WISC-III ir WASI metodikomis, ir subtestų WISC-III subtestų ir WASI subtestų yra statistiškai reikšminga, tačiau statistiškai nereikšminga koreliacija tarp Paveikslėlių išdėstymo subtesto bei Simbolių paieškos ir Bendro IQ, tiriant WASI metodika. Taip pat statistikai reikšmingas ryšys tarp Verbalinio IQ, tirto WISC-III LT ir WASI metodikomis. Koreliacija tarp... [toliau žr. visą tekstą]
For the present Wechsler Intelligence Scale for Children – Third edition (WISC-III) is the only one standardizated and adopted method for assessment of children’s intellectual ability from 6 till 16 years in Lithuania. This newest addition to the Wechsler family meets WASI method. It demand for a reliable, brief measure of common intellectual ability, verbal and nonverbal ability settings for ages 6 to 89 years. AT the present moment there are the process of standardization and adaptation of this method in Lithuania. The aim of study was to compare the results of primary school pupils’ intellectual ability received assessing by using WISC-III LT and WASI and identified if WASI method measure the same intellectual ability as WISC-III LT. The subjects of the study were 30 pupils: 13 boys and 17 girls living in the district of Akmenė. The investigation had two stages: 16 children were assessment by WISC-III LT on the first stage and by WASI on the second stage; 14 respondents were assessment by WASI on the first stage and by WISC-III LT on the second one. The results of the study showed that there is statistical meaningful correlation between Common IQ assessed by WISC-III LT and WASI. The results also showed that there is statistical meaningful correlation between Common IQ by WISC-III and WASI and Subtests of WISC-III LT and WASI, but not statistical meaningful correlation between Exposition of Pictures and Search of Symbol and Common IQ assessing by WASI. There is statistical... [to full text]
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Kelly, Justine Elizabeth. "Waist-to-Hip Ratio and IQ." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1398289771.

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Conocimiento, Dirección de Gestión del. "Guía de acceso para Capital IQ." S&P Global, 2021. http://hdl.handle.net/10757/655267.

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Carlsson, Ann-Britt. "IQ-Mower : PN-sequence-transmission using Bluetooth." Thesis, University West, Department of Technology, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-339.

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Corbett, Sally Suzanne. "Intelligence and reading abilities in eight year old children who failed to thrive in infancy." Thesis, Durham University, 1998. http://etheses.dur.ac.uk/4748/.

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The aim of the work reported in this thesis was to investigate intelligence and reading ability at school age in a population based sample of children who failed to thrive in the first two years of life. Weights for an annual cohort of term infants, retrieved from clinic records, were compared with weight expected conditional upon early weight. Those with weights in the lowest 5% in two or more age bands (3, 6, 9, 12 and 18 months) were identified as cases (n =136). Cases were stratified by age, sex and deprivation level of their area of residence at eighteen months of age, and the same number of controls selected from each stratum. Two controls were later omitted as they were found to have been born preterm (< 37 weeks). Between ages 7 and 9 years 79% of cases and 82% of controls were traced and studied. Height, head circumference and weight were measured, and an IQ and reading test administered. Information about socio-economic status, family structure and medical history was gathered during a home visit. The mother's height was measured, the father's being reported by the mothers, and the mother's IQ tested. All testing was carried out blind to the child’s case or control status. The child's medical records were retrieved where admission to a hospital or outpatient clinic was reported and the conditions diagnosed were coded blind for their probable effects on cognitive outcomes or growth. At eight years of age mothers in the case group reported more feeding problems in infancy and more organic conditions. Cases were shorter, lighter, thinner and had a smaller head circumference than controls. These anthropometric differences were all statistically significant and remained so after allowing for parental stature. There were no statistically significant differences in IQ and reading ability either before or after adjusting for maternal IQ, organic condition or the few covariates found to differ between the groups.
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Karlsson, Micael. "IQ-mower : styrning och positionering av mobil robot." Thesis, University West, Department of Technology, Mathematics and Computer Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-1356.

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Hultén, Monica, and Gunilla Gottfridsson. "IQ-mower : simulering av positionsbestämning i programspråket C++." Thesis, University West, Department of Technology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-341.

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Niranjan, Mysore Radhika. "Towards IQ-Appliances: Quality-awareness in Information Virtualization." Thesis, Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-04262007-121537/.

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Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.
Ferri, Bonnie Heck, Committee Member ; Gavrilovska, Ada, Committee Member ; Yalamanchili, Sudhakar, Committee Member ; Schwan, Karsten, Committee Chair.
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Books on the topic "IQ"

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Rostos, Jane. IQ. Iași: Editura Universitas XXI, 2009.

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Carter, Philip J. IQ hotshots. London: Robinson, 1994.

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D, Russell K., ed. IQ workout. Hauppauge, NY: Barron's, 1999.

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IQ puzzles. Bath: Parragon, 1999.

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IQ puzzles. London: Arcturus, 2009.

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IQ challenge. New York: Sterling Pub. Co., 2003.

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1943-, Van Campenhout Herman, and Vandewijer Ina 1959-, eds. IQ 140. Sint-Niklaas: Abimo, 2014.

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Murphy, Emmett C. Talent IQ. Avon, Mass: Adams Media, 2007.

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Carter, Philip. IQ countdown. London: Robinson, 1995.

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Wells, John R., ed. Strategic IQ. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119207290.

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Book chapters on the topic "IQ"

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First, Michael B., Elizabeth Spencer, Elizabeth Spencer, Sander Begeer, Brynn Thomas, Danielle Geno Kent, Maria Fusaro, et al. "IQ." In Encyclopedia of Autism Spectrum Disorders, 1653. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100755.

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Matzel, Louis D., and Bruno Sauce. "IQ." In Encyclopedia of Animal Cognition and Behavior, 1–9. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_1080-1.

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Matzel, Louis D., and Bruno Sauce. "IQ." In Encyclopedia of Animal Cognition and Behavior, 3683–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_1080.

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Heywood, John. "From IQ to Emotional IQ." In Empowering Professional Teaching in Engineering, 185–201. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-79382-0_15.

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McGrath, Marie C. "Deviation IQ." In Encyclopedia of Child Behavior and Development, 494–95. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_838.

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Lange, Rael T. "Performance IQ." In Encyclopedia of Clinical Neuropsychology, 1907–8. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1066.

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Lange, Rael T. "Verbal IQ." In Encyclopedia of Clinical Neuropsychology, 2606–7. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1072.

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Lange, Rael T., and Sara M. Lippa. "Performance IQ." In Encyclopedia of Clinical Neuropsychology, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1066-2.

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Lange, Rael T., and Sara M. Lippa. "Verbal IQ." In Encyclopedia of Clinical Neuropsychology, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1072-2.

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Lange, Rael T., and Sara M. Lippa. "Performance IQ." In Encyclopedia of Clinical Neuropsychology, 2635–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1066.

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Conference papers on the topic "IQ"

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Lee, J. H. M., and Ho-fung Leung. "IQ." In the 1994 ACM symposium. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/326619.326795.

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Bhartia, Apurv, Deeparnab Chakrabarty, Krishna Chintalapudi, Lili Qiu, Bozidar Radunovic, and Ramachandran Ramjee. "IQ-Hopping." In MobiHoc'16: The Seventeenth ACM International Symposium on Mobile Ad Hoc Networking and Computing. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2942358.2942376.

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Sinha, Ritwik, Ivan Andrus, and Trevor Paulsen. "Attribution IQ." In CIKM '20: The 29th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3340531.3417437.

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Cai, Zhongtang, Greg Eisenhauer, Qi He, Vibhore Kumar, Karsten Schwan, and Matthew Wolf. "IQ-services." In the 2nd workshop. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1028493.1028495.

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Sherman, William R., James H. Money, Eric Whiting, and Shane Grover. "IQ-Stations." In PEARC '18: Practice and Experience in Advanced Research Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3219104.3219106.

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Kosinski, Michal, Yoram Bachrach, Gjergji Kasneci, Jurgen Van-Gael, and Thore Graepel. "Crowd IQ." In the 3rd Annual ACM Web Science Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2380718.2380739.

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Jenkins, Jeffrey, Rutger van Bergem, Charles Sweet, Eveline Vietsch, and Harold Szu. "e-IQ and IQ knowledge mining for generalized LDA." In SPIE Sensing Technology + Applications, edited by Harold H. Szu, Liyi Dai, and Yufeng Zheng. SPIE, 2015. http://dx.doi.org/10.1117/12.2180649.

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Zhang, Yuying. "qIdeal Iq or qReal Iq: Becky Sharp's Pursuit of Identity." In 2016 2nd International Conference on Humanities and Social Science Research (ICHSSR 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/ichssr-16.2016.6.

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Liu, Yusen, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, and Yi Zhou. "How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/846.

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AI benchmarking becomes an increasingly important task. As suggested by many researchers, Intelligence Quotient (IQ) tests, which is widely regarded as one of the predominant benchmarks for measuring human intelligence, raises an interesting challenge for AI systems. For better solving IQ tests automatedly by machines, one needs to use, combine and advance many areas in AI including knowledge representation and reasoning, machine learning, natural language processing and image understanding. Also, automated IQ tests provides an ideal testbed for integrating symbolic and sub-symbolic approaches as both are found useful here. Hence, we argue that IQ tests, although not suitable for testing machine intelligence, provides an excellent benchmark for the current development of AI research. Nevertheless, most existing IQ test datasets are not comprehensive enough for this purpose. As a result, the conclusions obtained are not representative. To address this issue, we create IQ10k, a large-scale dataset that contains more than 10,000 IQ test questions. We also conduct a comparison study on IQ10k with a number of state-of-the-art approaches.
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Hoffmann, Simon, Felix Willert, Markus Hofbauer, Andreas Schimpe, and Frank Diermeyer. "Quantifying the Influence of Image Quality on Operator Reaction Times for Teleoperated Road Vehicles." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002322.

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Teleoperated Driving (ToD) is a widely acknowledged concept applied to handle edge-case situations in automated vehicles. In ToD, a human operator judges and resolves these situations based on video streams. Due to varying network coverage, the compression level of these video streams and therefore the resulting image quality (IQ) are adjusted dynamically. In the presented work, the effect of IQ on task performance is investigated. We hypothesize that IQ impacts the operator’s reaction time to dynamic obstacles, and therefore influences safety. We conducted a user study to test this hypothesis. Subjective and objective data were collected. The results reveal that IQ has a significant influence on the operator’s task performance.
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Reports on the topic "IQ"

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Kramer, Mitchell. Sybase IQ. Boston, MA: Patricia Seybold Group, July 2003. http://dx.doi.org/10.1571/pr7-31-03cc.

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D’Acunto, Francesco, Daniel Hoang, Maritta Paloviita, and Michael Weber. IQ, Expectations, and Choice. Cambridge, MA: National Bureau of Economic Research, January 2019. http://dx.doi.org/10.3386/w25496.

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Kilgore, Karissa. Procurement IQ User Survey. Office of Scientific and Technical Information (OSTI), July 2022. http://dx.doi.org/10.2172/1879332.

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McDonald, Babs, Jessica Nickelsen, Julia Dobish, Elissa Riley, Michelle Andrews, and Emily Melear-Daniels. Natural IQ: Investigating questions about climate. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2014. http://dx.doi.org/10.2737/srs-gtr-183.

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McDonald, Babs, Jessica Nickelsen, Julia Dobish, Elissa Riley, Michelle Andrews, and Emily Melear-Daniels. Natural IQ: Investigating questions about climate. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2014. http://dx.doi.org/10.2737/srs-gtr-183.

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Chen, Huaizhi, Lauren Cohen, Umit Gurun, Dong Lou, and Christopher Malloy. IQ from IP: Simplifying Search in Portfolio Choice. Cambridge, MA: National Bureau of Economic Research, July 2018. http://dx.doi.org/10.3386/w24801.

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Engelbart, Doug. Toward Boosting Our Collective IQ: A Knowledge-Centric Approach. Boston, MA: Patricia Seybold Group, March 2011. http://dx.doi.org/10.1571/psgp03-10-11cc.

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Black, Sandra, Paul Devereux, and Kjell Salvanes. Older and Wiser? Birth Order and IQ of Young Men. Cambridge, MA: National Bureau of Economic Research, July 2007. http://dx.doi.org/10.3386/w13237.

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Schafer, Mark A. Organizational IQ: Characteristics Common to Smart Organizations and Applicability to the U.S. Military. Fort Belvoir, VA: Defense Technical Information Center, December 2009. http://dx.doi.org/10.21236/ada514252.

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Black, Sandra, Paul Devereux, and Kjell Salvanes. Like Father, Like Son? A Note on the Intergenerational Transmission of IQ Scores. Cambridge, MA: National Bureau of Economic Research, August 2008. http://dx.doi.org/10.3386/w14274.

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