Relevant bibliographies by topics / Selective attention

Contents

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

Academic literature on the topic 'Selective attention'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Selective attention"

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Theofilidis, Antonis, and Filipos Kargopoulos. "Mind’s selective attention to previous experience." Clinical Research and Clinical Trials 4, no. 3 (September 29, 2021): 01–07. http://dx.doi.org/10.31579/2693-4779/057.

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The basic arguments for a mental image model of thought are based on neuropsychological evidence. France (2000) found that the same brain regions are activated during both mental representation and actual perception, while Bishiah (1993) found that brain traumas that affected perception, also affected the ability to create mental images. Pylyshyn(2003) on the other hand, argues that all mental images are guided by ‘’cognitive penetrability’’, thus on their very basis, are manipulated by certain propositional elements. Given this difficulty, Kargopoulos (2009) hinted towards further research, featuring shapes and solid objects, for which subjects have no priorextensive knowledge. This would force subjects to use non-semantic strategies of representation, meaning mental imagery. Hinton’s (1979) cube problem conforms to these requirements. Hinton’s problem aligns with the idea that spatial tasks (especially tasks with cubes that change layout) are guided by propositional cues (our knowledge about squares) and supports Pylyshyn’s position. Using one of the simplest objects, a cube, Hinton showed that as soon as this shape changes its mental arrangement in space, even suspicious -as to the nature of the experiment- participants will make mistakes that are not present when they manipulate a mental image of the cube sitting on its typicalarray. Aim: Our goal was to investigate the relationship between spatio-visual skill and the ability for mental partitioning in healthy subjects. Methodology: We used 2 groups (344 participants) a control and an experimental one. In the control group, we presented a Moebius’ strip, in the experimental group, we presented the same Moebius’ strip and asked them to mentally represent it. All participants asked to mentally partition the strip. Results: Of the 344 participants, only 31 managed to give the correct number of vertices in space. Though people had a hard time manipulating the cube’s mental image, their success rates were much higher for the Hinton 1 task in which propositional representation was more accessible. Only 9 of the 344 participants could find the correct answer for the Moebius strip task in which mental manipulation of the strip image was impossible. Conclusions: We come to the conclusion that the relationship between ‘’seeing’’ and ‘’knowing’’ is more complex, not just on the level of the mental image level but also on the level of perception. Our findings bring back to the scientific background the idea that the mind’s selective attention to previous experience and cognitive schemas will decidedly affect human thought.
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KASAI, Tetsuko, and Jun-ichiro KAWAHARA. "Selective attention." Japanese Journal of Physiological Psychology and Psychophysiology 33, no. 1 (2015): 1–3. http://dx.doi.org/10.5674/jjppp.1511si.

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Rose, Steven. "Selective attention." Nature 360, no. 6403 (December 1992): 426–27. http://dx.doi.org/10.1038/360426b0.

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Johnston, W. A., and V. J. Dark. "Selective Attention." Annual Review of Psychology 37, no. 1 (January 1986): 43–75. http://dx.doi.org/10.1146/annurev.ps.37.020186.000355.

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Brown, Patrick, and Paul Fera. "Turning selective attention failure into selective attention success." Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale 48, no. 1 (1994): 25–57. http://dx.doi.org/10.1037/1196-1961.48.1.25.

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Loose, Rainer, Christian Kaufmann, Dorothea P. Auer, and Klaus W. Lange. "Selective attention and divided attention." NeuroImage 11, no. 5 (May 2000): S34. http://dx.doi.org/10.1016/s1053-8119(00)90968-6.

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Quigley, C., and M. M. Muller. "Feature-Selective Attention in Healthy Old Age: A Selective Decline in Selective Attention?" Journal of Neuroscience 34, no. 7 (February 12, 2014): 2471–76. http://dx.doi.org/10.1523/jneurosci.2718-13.2014.

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Hanus, D., E. Vul, and N. Kanwisher. "Delay of selective attention during the attentional blink." Journal of Vision 8, no. 6 (March 27, 2010): 6. http://dx.doi.org/10.1167/8.6.6.

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Vul, Edward, Deborah Hanus, and Nancy Kanwisher. "Delay of selective attention during the attentional blink." Vision Research 48, no. 18 (August 2008): 1902–9. http://dx.doi.org/10.1016/j.visres.2008.06.009.

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Shalev, L., I. Davidesco, C. Mevorach, and G. Goelman. "Disentangling selective attention from orienting of attention." Journal of Vision 9, no. 8 (September 3, 2010): 83. http://dx.doi.org/10.1167/9.8.83.

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Dissertations / Theses on the topic "Selective attention"

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Driver, Jonathon S. "Selective attention." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236243.

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Mar, Corinne Mei. "Selective attention in schizophrenia /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487945015617482.

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Hanania, Rima. "Selective attention and attention shifting in preschool children." [Bloomington, Ind.] : Indiana University, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3380084.

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Thesis (Ph.D.)--Indiana University, Dept. of Psychological and Brain Sciences and the program in Cognitive Science, 2009.
Title from PDF t.p. (viewed on Jul 19, 2010). Source: Dissertation Abstracts International, Volume: 70-12, Section: B, page: 7881. Adviser: Linda B. Smith.
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O'Brien, Jennifer L. "Motivation and visual selective attention." Thesis, Bangor University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496101.

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MacFarlane, Hood Bruce. "Development of visual selective attention." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387062.

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Bullock, Thomas. "Crossmodal load and selective attention." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/2771/.

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This thesis explores a current dominant theory of attention - the load theory of selective attention and cognitive control (Lavie et al., 2004). Load theory has been posited as a potential resolution to the long-running debate over the locus of selection in attention. Numerous studies confirm that high visual perceptual load in a relevant task leads to reduced interference from task-relevant distractors; whereas high working memory load leads to increased interference from task-irrelevant distractors in a relevant task. However, very few studies have directly tested perceptual and working memory load effects on the processing of task-relevant stimuli, and even fewer studies have tested the impact of load on processing both within and between different sensory modalities. This thesis details several novel experiments that test both visual and auditory perceptual and working memory load effects on task-relevant change detection in a change-blindness “flicker” task. Results indicate that both high visual and auditory perceptual load can impact on change detection, which implies that the perceptual load model can account for load effects on change detection, both within and between different sensory modalities. Results also indicate that high visual working memory load can impact on change detection. By contrast, high auditory working memory load did not appear to impact change detection. These findings do not directly challenge load theory per-se, but instead highlight how working memory load can have markedly different effects in different experimental paradigms. The final part of this thesis explores whether high perceptual load can attenuate distraction from highly emotionally salient stimuli. The findings suggest that potent emotional stimuli can “breakthrough” and override the effects of high perceptual load - a result that presents a challenge to load theory. All findings are discussed with reference to new challenges to load theory, particularly the “dilution” argument.
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Tan, Michael Nicholas. "Selective listening processes in humans." University of Western Australia. School of Psychology, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0198.

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This thesis presents data which support cochlear involvement in attentional listening. It has been previously proposed that the descending auditory pathways, in particular the medial olivocochlear system, play a role in reducing the cochlea's response to noise in a process known as antimasking. This hypothesis was investigated in human subjects for its potential impact on the detection of signals in noise following auditory cues. Three experimental chapters (Chapters 3, 4 and 5) are described in this thesis. Experiments in the first chapter measured the effect of acoustic cues on the detection of subsequent tones of equal or different frequency. Results show that changes in the ability to detect signals following auditory cues are the result of both enhanced detection for tones at the cued frequency, and suppressed detection for tones at non-cue frequencies. Both effects were measured to be in the order of ~3 dB. This thesis has argued that the enhancement of a cued tone is the implicit result of an auditory cue, while suppression of a probe tone results from the expectation of a specific frequency based on accumulated experience of a listening task. The properties of enhancement support the antimasking hypothesis, however, the physiological mechanism for suppression is uncertain. In the second experimental chapter, auditory cues were replaced with visual cues (representing musical notes) whose pitch corresponded to the target frequency, and were presented to musician subjects who possessed absolute or relative pitch. Results from these experiments showed that a visual cue produces the same magnitude of enhancement as that produced by an acoustic cue. This finding demonstrates a cognitive influence on the detection of tones in noise, and implicates the role of higher centres such as those involved in template-matching or top-down control of the efferent pathways. The final experimental chapter repeated several of the experiments from the first chapter on subjects with various forms of hearing loss. The results indicate that subjects with an outer hair cell deficit (concomitant with a sensorineural hearing loss) do not exhibit an enhancement of cued frequencies or a suppression of unexpected frequencies to the same extent as the normal-hearing subjects. In addition, one subject with a long-standing conductive hearing loss (with normal cochlear function) produced an enhancement equivalent to that of the normalhearing subjects. These findings also support the role of the medial olivocochlear system and the outer hair cells in antimasking. It is the conclusion of this thesis that enhancement most likely results from a combination of changes in receptive field characteristics, at various levels of the auditory system. The medial olivocochlear system is likely to be involved in unmasking a portion of the signal at the cochlear level, which may be influenced by both acoustic reflex pathways or higher centres of the brain.
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Goddard, Kim M. "The attentional blink in audition and vision, an early selection model of selective attention revisited." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0012/MQ34961.pdf.

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Sock, Ching Low. "Giving centre stage to top-down inhibitory mechanisms for selective attention." Doctoral thesis, Universitat Pompeu Fabra, 2020. http://hdl.handle.net/10803/670753.

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Selective attention determines the sensory signals that are processed at higher levels at the expense of others and is biased by higher-order brain regions which anticipate task-relevant stimuli and increase neural sensitivity to them in the sensory cortex. Often, this is thought to occur through excitation of selected neurons, but some studies have suggested that it is not the full description of the process. Increasingly, evidence has pointed to an alternative, top-down inhibitory biasing mechanism. Here, we investigated such an inhibitory model of attention. We first showed how sensitivity to stimulus features known to be task-irrelevant are reduced through top-down suppression. Secondly, we demonstrated a biologically grounded spiking model’s ability to modulate information processing and benchmarked it to physiology. Lastly, we explored the interaction between the excitatory and inhibitory models of top-down attention in a foraging agent. Our results support the inhibitory model of top-down attention as a biological attentional mechanism and show how it fits into the current zeitgeist of top-down attentional mechanisms.
L’atenció selectiva determina els senyals sensorials que es processen a nivells superiors a costa dels altres. Està esbiaixada per regions cerebrals d’ordre superior que anticipen estímuls rellevants per a la tasca i augmenten la sensibilitat neuronal a l’escorça sensorial. Sovint, es creu que això es produeix mitjançant l'excitació de neurones seleccionades, però alguns estudis han suggerit que no és la descripció completa del procés. Cada vegada més, l’evidència apunta cap a un mecanisme alternatiu de polarització inhibitiva de dalt a baix. Aquí hem investigat, aleshores, un model d’atenció inhibitori. Primer, vam demostrar com es redueix la sensibilitat a les funcions d’estímul irrellevants per tasques mitjançant la supressió de dalt a baix. En segon lloc, vam demostrar la capacitat d’un model d’espiga basat en la biologia per modular el processament de la informació i l’hem comparat amb la fisiologia. Per últim, hem explorat la interacció entre els models excitadors i inhibidors d’atenció de dalt a baix en un agent de cerca d’aliments. Els nostres resultats donen suport al model inhibitori de l’atenció de dalt a baix com a mecanisme d’atenció biològica i mostren com s’adapta al ‘zeitgeist’ actual dels mecanismes d’atenció de dalt a baix.
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Booth, Rob. "Attentional control theory & Stroop interference - selective attention deteriorates under stress." Thesis, University of Kent, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498822.

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Books on the topic "Selective attention"

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Zhang, Liming, and Weisi Lin. Selective Visual Attention. Singapore: John Wiley & Sons (Asia) Pte Ltd, 2013. http://dx.doi.org/10.1002/9780470828144.

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Giovanni, Berlucchi, and Rizzolatti G, eds. Selective visual attention. Oxford: Pergamon, 1987.

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Selective attention in vision. London: Routledge, 1992.

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Zhang, Liming. Selective visual attention: Computational models and applications. Singapore: John Wiley & Sons Inc., 2013.

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Ruff, Ronald M. Ruff 2 & 7 selective attention test: Professional manual. Odessa, Fla: Psychological Assessment Resources, 1996.

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Kramer, Arthur F., Michael G. H. Coles, and Gordon D. Logan, eds. Converging operations in the study of visual selective attention. Washington: American Psychological Association, 1996. http://dx.doi.org/10.1037/10187-000.

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F, Kramer Arthur, Coles Michael G. H, and Logan Gordon D, eds. Converging operations in the study of visual selective attention. Washington, DC: American Psychological Association, 1996.

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Derro, Florinda Christine. Selective attention in mildly depressed and depressed individuals: Is there a difference? Sudbury, Ont: Laurentian University, Department of Psychology, 1990.

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Lange, Wolf Gregor Tobias. Selective attention of individuals with spider-phobia to real threat and safety signals. [s.l: The author], 1999.

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Crew, Christopher. The Behavioral and Neural Effects of Rejection Sensitivity on Selective Attention and Feedback-Based Learning. [New York, N.Y.?]: [publisher not identified], 2014.

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Book chapters on the topic "Selective attention"

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Bater, Lovina R., and Sara S. Jordan. "Selective Attention." In Encyclopedia of Personality and Individual Differences, 4624–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1904.

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Morgan, Michael M., MacDonald J. Christie, Luis De Lecea, Jason C. G. Halford, Josee E. Leysen, Warren H. Meck, Catalin V. Buhusi, et al. "Selective Attention." In Encyclopedia of Psychopharmacology, 1196. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_818.

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Ploog, Bertram O. "Selective Attention." In Encyclopedia of Autism Spectrum Disorders, 1–9. New York, NY: Springer New York, 2020. http://dx.doi.org/10.1007/978-1-4614-6435-8_1932-3.

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Chang, Mei Y., and Raymond S. Dean. "Selective Attention." In Encyclopedia of Child Behavior and Development, 1300–1301. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_2523.

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Ploog, Bertram O. "Selective Attention." In Encyclopedia of Autism Spectrum Disorders, 2700–2707. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_1932.

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Bater, Lovina R., and Sara S. Jordan. "Selective Attention." In Encyclopedia of Personality and Individual Differences, 1–4. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-28099-8_1904-1.

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Ploog, Bertram O. "Selective Attention." In Encyclopedia of Autism Spectrum Disorders, 4123–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_1932.

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Worden, Michael. "Selective Attention Models." In Encyclopedia of Clinical Neuropsychology, 2232–35. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1326.

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Worden, Michael S. "Selective Attention Models." In Encyclopedia of Clinical Neuropsychology, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1326-2.

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Worden, Michael S. "Selective Attention Models." In Encyclopedia of Clinical Neuropsychology, 3109–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1326.

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Conference papers on the topic "Selective attention"

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Desimone, Robert. "Neural synchrony and selective attention." In 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta). IEEE, 2009. http://dx.doi.org/10.1109/ijcnn.2009.5179097.

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Woong-Jae Won, Sang-Woo Ban, Jaekyoung Moon, and Minho Lee. "Biologically Motivated Face Selective Attention System." In The 2006 IEEE International Joint Conference on Neural Network Proceedings. IEEE, 2006. http://dx.doi.org/10.1109/ijcnn.2006.247003.

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Phaf, Van der Heijden, and Hudson. "A connectionist model for visual selective attention." In International Joint Conference on Neural Networks. IEEE, 1989. http://dx.doi.org/10.1109/ijcnn.1989.118469.

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Paletta, Lucas, Anurag Goyal, and Christian Greindl. "Selective visual attention in object detection processes." In Electronic Imaging 2003, edited by Nasser M. Nasrabadi and Aggelos K. Katsaggelos. SPIE, 2003. http://dx.doi.org/10.1117/12.477401.

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Xie, Zhihao. "Selective Attention Ability’s Relationship with Socioeconomic Status." In 2021 6th International Conference on Modern Management and Education Technology（MMET 2021）. Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.211011.104.

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Heinen, Milton Roberto, and Paulo Martins Engel. "Visual Selective Attention Model for Robot Vision." In 2008 IEEE Latin American Robotic Symposium (LARS). IEEE, 2008. http://dx.doi.org/10.1109/lars.2008.38.

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"Selective Visual Attention in Electronic Video Surveillance." In 5th International Workshop on Pattern Recognition in Information Systems (PRIS-2004). SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0002563501980203.

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"Selective Visual Attention in Electronic Video Surveillance." In 5th International Workshop on Pattern Recognition in Information Systems (PRIS-2004). SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0002564302040212.

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Parhammer, Sandra I., Miriam Ebersberg, Jenny Tippmann, Katja Stärk, Andreas Opitz, Barbara Hinger, and Sonja Rossi. "The Influence of Distraction on Speech Processing: How Selective is Selective Attention?" In Interspeech 2019. ISCA: ISCA, 2019. http://dx.doi.org/10.21437/interspeech.2019-2699.

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Yang, Jingjing, Qi Li, and Xiujun Li. "The Different Effects of Selective Attention and Divided Attention on Audiovisual Temporal Integration." In 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/icemeet-16.2017.1.

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Reports on the topic "Selective attention"

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Hoffman, James E. Visual Selective Attention. Fort Belvoir, VA: Defense Technical Information Center, February 1990. http://dx.doi.org/10.21236/ada219204.

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Caplin, Andrew, John Leahy, and Filip Matějka. Social Learning and Selective Attention. Cambridge, MA: National Bureau of Economic Research, March 2015. http://dx.doi.org/10.3386/w21001.

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Merrill, Lex L., Lawrence J. Lewandowski, David A. Kobus, and Daniel E. Braun. Selective Attention Abilities of Experienced Sonar Operators. Fort Belvoir, VA: Defense Technical Information Center, May 1993. http://dx.doi.org/10.21236/ada267751.

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Olafsson, Arna, and Michaela Pagel. The Ostrich in Us: Selective Attention to Financial Accounts, Income, Spending, and Liquidity. Cambridge, MA: National Bureau of Economic Research, October 2017. http://dx.doi.org/10.3386/w23945.

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Mahmood, S. T., and Tanveer F. Syeda-Tanveer. Attentional Selection in Object Recognition. Fort Belvoir, VA: Defense Technical Information Center, February 1993. http://dx.doi.org/10.21236/ada271004.

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Kaufman, Lloyd, Samuel J. Williamson, and S. Curtis. Divided Attention Revisited: Selection Based on Location or Pitch. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada193814.

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Ross, John A., and Elizabeth Frankenberg. Findings from Two Decades of Family Planning Research. Population Council, 1993. http://dx.doi.org/10.31899/pgy1993.1001.

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This book presents a selection of empirical conclusions, or findings, from the body of family planning research that has accumulated over the last two decades. Twelve topics of current interest are reviewed, as a sequel to three similar publications issued in 1971, 1972, and 1974. A findings document compresses what has been learned into straightforward declarative statements, giving summary evidence to support each statement. In cases where a conclusion is well founded, with extensive supporting evidence, only illustrative or summary references are needed. In other cases, citations are required for individual studies. Generalizations that are unsupported or too ambiguous to permit a definite statement do not qualify for inclusion. Methodology and theory are not the primary concern; rather, the focus is on research results that merit particular attention. Thus, solid conclusions are included, along with important evidence. It is important to establish a record outlining evidence that underlies each finding, with identification of which country or region it comes from. With time, this record should evolve, and then the current compilation will serve as a point of departure for restatement.
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Wiener, Joshua M., Mary E. Knowles, and Erin E. White. Financing Long-Term Services and Supports: Continuity and Change. RTI Press, September 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0042.1709.

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This article provides an overview of financing for long-term services and supports (LTSS) in the United States, paying special attention to how it has changed and not changed over the last 30 years. Although LTSS expenditures have increased greatly (like the rest of health care), the broad outline of the financing system has remained remarkably constant. Medicaid—a means-tested program—continues to dominate LTSS financing, while private long-term care insurance plays a minor role. High out-of-pocket costs and spend-down to Medicaid because of those high costs continue to be hallmarks of the system. Although many major LTSS financing reform proposals were introduced over this period, none was enacted—except the Community Living Assistance Services and Supports Act, which was repealed before implementation because of concerns about adverse selection. The one major change during this time period has been the very large increase in Medicare spending for post-acute services, such as short-term skilled nursing facility and home health care. With the aging of the population, demand for LTSS is likely to increase, placing strain on the existing system.
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Letcher, Theodore, Justin Minder, and Patrick Naple. Understanding and improving snow processes in Noah-MP over the Northeast United States via the New York State Mesonet. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45060.

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Snow is a critical component of the global hydrologic cycle and is a key input to river and stream flow forecasts. In 2016, the National Oceanic and Atmospheric Administration launched the National Water Model (NWM) to provide a high-fidelity numerical forecast of streamflow integrated with the broader atmospheric prediction modeling framework. The NWM is coupled to the atmospheric model using the Noah-MP land surface modeling framework. While snow in Noah-MP has been consistently evaluated in the western United States, less attention has been paid to understanding and optimizing its performance in the Northeast US (NEUS). The newly installed New York State Mesonet (NYSM), a network of high-quality surface meteorological stations distributed across New York State, provides a unique opportunity to evaluate Noah-MP performance in the NEUS. In this report, we document the methodology used to perform single-column simulations using meteorological inputs from the NYSM and compare the point evaluations against baseline NWM performance. We further discuss how enhanced surface energy balance measurements at a selection of NYSM sites can be used to evaluate specific components of Noah-MP and present initial results.
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10

Khan, Mahreen. Lessons from Adaptive Programming. Institute of Development Studies, September 2022. http://dx.doi.org/10.19088/k4d.2022.142.

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The aim of adaptive programming (AP) is to produce adaptive, flexible, iterative, responsive, problem-driven, politically smart, locally led programmes which are effective and efficient and meet donor requirements for accountability. This is a rapid desk review of recent literature on AP including academic and grey sources. Section 2 covers the main challenges and barriers to successful implementation of AP. Key success factors are covered in Section 3. Selecting the appropriate monitoring and evaluation tools such as outcome harvesting or adapted versions of Value for Money to assist in measuring outcomes and embedding learning is key to successful AP, particularly in governance programmes, where results are usually long-term, non-linear and causality can be difficult to specifically trace back to the donor-funded intervention. Section 4 details three case studies from the governance arena as this report was requested to assist in designing adaptive governance programmes. Thus, the State Accountability and Voice Initiative (SAVI) from Nigeria, Chakua Hatua from Tanzania, and Within and Without the State (WWS) from conflict regions are included to show how flexible indicators, donor communication and negotiation, empowering teams and adopting monitoring and evaluation tools assisted in successful AP outcomes in different locations and political contexts. The challenges faced and drawbacks of certain processes were fed into efficient feedback loops fostering cross-communication, adaptation, and modification to ensure procedures and policies were changed accordingly. Sources used are primarily from the previous 5 years, as per K4D norms, unless the work is seminal, such as the ODI Report (2016) Doing Development Differently, which encouraged over 60 countries to sign up for the AP methodology. This review found a substantive body of literature on AP methodology the relative recency of academic attention on AP in the development less evidence is available on case studies of AP in the development sector, as there are not many ongoing projects and even fewer have been completed and results assessed (ICF, 2019). There is also a lack of case studies on how dynamic, empowered, innovative teams successfully apply adaptive programming ideas, particularly providing behavioural insights about such teams (Cooke, 2017) as well as little attention to precipitating and sustaining behaviour change in institutions over the longer term (Power, 2017).
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