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Готові списки джерел за темами / Post-identification feedback

Добірка наукової літератури з теми "Post-identification feedback"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 29 січня 2023

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Статті в журналах з теми "Post-identification feedback"

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Neuschatz, Jeffrey S., Joseph S. Neuschatz, Eric A. Seemann, and Anne P. Noble. "Lineup Identification: Combating the Effect of Post-Identification Feedback." Journal of Forensic Psychology Practice 6, no. 1 (March 22, 2006): 63–72. http://dx.doi.org/10.1300/j158v06n01_04.

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MacLean, Carla L., C. A. Elizabeth Brimacombe, Meredith Allison, Leora C. Dahl, and Helena Kadlec. "Post-identification feedback effects: Investigators and evaluators." Applied Cognitive Psychology 25, no. 5 (September 17, 2010): 739–52. http://dx.doi.org/10.1002/acp.1745.

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3

Greenspan, Rachel Leigh, and Elizabeth F. Loftus. "Eyewitness confidence malleability: Misinformation as post-identification feedback." Law and Human Behavior 44, no. 3 (June 2020): 194–208. http://dx.doi.org/10.1037/lhb0000369.

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4

Douglass, Amy Bradfield, Jeffrey S. Neuschatz, Jennifer Imrich, and Miranda Wilkinson. "Does post-identification feedback affect evaluations of eyewitness testimony and identification procedures?" Law and Human Behavior 34, no. 4 (2010): 282–94. http://dx.doi.org/10.1007/s10979-009-9189-5.

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5

Douglass, Amy Bradfield, Neil Brewer, and Carolyn Semmler. "Moderators of post-identification feedback effects on eyewitnesses' memory reports." Legal and Criminological Psychology 15, no. 2 (September 2010): 279–92. http://dx.doi.org/10.1348/135532509x446337.

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6

NAKANO, Yasuhiko. "DEVELOPMENTAL STUDY ABOUT EFFECTS OF POST-FEEDBACK INTERVAL ON CONCEPT IDENTIFICATION." Japanese Journal of Educational Psychology 33, no. 4 (1985): 287–94. http://dx.doi.org/10.5926/jjep1953.33.4_287.

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7

Mote, Preston M., Jeffrey S. Neuschatz, Brian H. Bornstein, Stacy A. Wetmore, and Kylie N. Key. "Secondary Confessions as Post-identification Feedback: How Jailhouse Informant Testimony Can Alter Eyewitnesses’ Identification Decisions." Journal of Police and Criminal Psychology 33, no. 4 (May 3, 2018): 375–84. http://dx.doi.org/10.1007/s11896-018-9274-0.

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8

Quinlivan, Deah S., Jeffrey S. Neuschatz, Amy Bradfield Douglass, Gary L. Wells, and Stacy A. Wetmore. "The effect of post-identification feedback, delay, and suspicion on accurate eyewitnesses." Law and Human Behavior 36, no. 3 (June 2012): 206–14. http://dx.doi.org/10.1037/h0093970.

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9

Quinlivan, Deah S., Gary L. Wells, and Jeffrey S. Neuschatz. "Is manipulative intent necessary to mitigate the eyewitness post-identification feedback effect?" Law and Human Behavior 34, no. 3 (2010): 186–97. http://dx.doi.org/10.1007/s10979-009-9179-7.

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10

Hafstad, Gertrud Sofie, Amina Memon, and Robert Logie. "Post-identification feedback, confidence and recollections of witnessing conditions in child witnesses." Applied Cognitive Psychology 18, no. 7 (October 18, 2004): 901–12. http://dx.doi.org/10.1002/acp.1037.

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Більше джерел

Дисертації з теми "Post-identification feedback"

1

Ross, Audrey E. "Can Knowledge of Future Public Presentations of Eyewitness Testimonies Obviate Positive Post-Identification Feedback Effects?" Marietta College Honors Theses / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=marhonors1367867665.

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2

Bhaskara, Adella. "Differential effects of confirming post-identification feedback on eyewitness testimony-relevant judgments." Thesis, 2015. http://hdl.handle.net/2440/93908.

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Анотація:

Many studies have found that while the majority of eyewitnesses’ testimony-relevant judgments (e.g., certainty, attention, view) were vulnerable to the confirming post-identification feedback effect, time-in-view and distance judgments appeared to be immune to this effect (see meta-analysis by Steblay, Wells, & Douglass, 2014). To date, there has not been any explanation as to why these two judgments were not affected by confirming feedback while the rest of the judgments were. The main aim of this thesis was to investigate this issue. Experiments 1 and 2 tested two possible reasons for these differential feedback effects. First, time-in-view and distance judgments might be protected from the influence of confirming feedback due to strong internal cues (i.e., the accessibility hypothesis). Second, confirming feedback might only be useful for informing judgments that focus on the target person’s face or the identification decision (e.g., certainty, attention, view), and hence irrelevant to estimations of actual time and distance. Two variables were manipulated between-participants: feedback type (confirming feedback, confirming-specific feedback, no feedback) and retention interval (immediate, delay between viewing an event and making judgments). The confirming-specific feedback was made relevant to the judgments by pairing confirming feedback alongside specific information associating time and distance with a correct identification decision. This feedback was found to affect time-in-view (Experiments 1 and 2) and distance judgments (Experiment 2) in the immediate condition, while confirming feedback by itself did not affect these judgments even in the delay conditions when internal cues were weaker. These results suggested that weak internal cues alone were not enough for judgments to be affected by feedback; the relevance of feedback information to the judgments also played an important role in determining whether or not judgments would be affected. Experiment 3 further investigated the effects of confirming-specific feedback on time-in-view and distance judgments by modifying the wording of the specific feedback. The results indicated that confirming-specific feedback affected time-in-view and distance judgments in Experiments 1 and 2 because the specific feedback provided a reference point for these two judgments. When this reference point was removed in Experiment 3, the specific feedback (that associated viewing time and distance with a correct identification) no longer affected time-in-view and distance judgments. These results suggested that people might not infer their viewing time and distance from a correct identification decision. Factor analysis was then conducted to investigate the factor structure of testimony-relevant judgments and found that time-in-view and distance judgments fell into a factor independent from the rest of the factors that were related to the identification process. Findings from basic research on time and distance estimations were then reviewed, with these suggesting that eyewitnesses’ sources of internal cues for making time-in-view and distance judgments might be different than those of other judgments. Finally, the thesis also investigated the relative accuracy of witnesses’ time-in-view and distance judgments. This research made a contribution to the development of the current theoretical framework of the post-identification feedback effects and the practical use of time-in-view and distance judgments in the legal system.
Thesis (Ph.D.) -- University of Adelaide, School of Psychology, 2015

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Частини книг з теми "Post-identification feedback"

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Douglass, Amy Bradfield, and Laura Smalarz. "Post-identification Feedback to Eyewitnesses: Implications for System Variable Reform." In Advances in Psychology and Law, 101–35. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11042-0_4.

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Тези доповідей конференцій з теми "Post-identification feedback"

1

Álvarez, Mario Fernando Restrepo, and Alejandro Vásquez Hernández. "HEPO- system of feedback of buildings from real conditions of use." In XI SIMPÓSIO BRASILEIRO DE GESTÃO E ECONOMIA DA CONSTRUÇÃO. Antac, 2021. http://dx.doi.org/10.46421/sibragec.v11i00.51.

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The evaluation of buildings in real conditions of use or post-occupancy evaluation, is the systematic study of buildings with the objective of decide their performance once they are inhabited; is a process of review and identification of successes and failures, in order to improve the conditions of existing buildings and to feed future designs, in search of residential satisfaction. Nowdays, the construction industry in Colombia does not have feedback processes regarding the operation of a building; Therefore, the research presented below proposes a tool for post-occupational evaluation - HEPO-, which is oriented to the analysis of buildings in use phase, in terms of meeting needs and preserving quality in the time of the materials, providing as a result the variables of study for the Colombian sector, in order to understand the performance dynamics, and proposes the mechanisms of collection and processing the information for the correct presentation of results, also presents the barriers at the time of HEPO application. In order to verify the effectiveness of the tool, it is validated in five housing projects in the city of Medellín, Colombia.

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Kawada, Ken-ichi, Ikken Sato, Yoshiharu Tobita, Werner Pfrang, Laurence Buffe, and Emmanuelle Dufour. "Development of PIRT (Phenomena Identification and Ranking Table) for SAS-SFR (SAS4A) Validation." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30679.

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SAS-SFR (derived from SAS4A) is presently the most advanced computer code for simulation of the primary phase of the Core Disruptive Accident (CDA) of MOX-fueled Sodium-cooled Fast Reactors (SFR). In the past two decades, intensive model improvement works have been conducted for SAS-SFR utilizing the experimental data from the CABRI programs. The main target of the present work is to confirm validity of these improved models through a systematic and comprehensive set of test analyses to demonstrate that the improved models has a sufficient quality assurance level for applications to reactor conditions. In order to reach these objectives, an approach of PIRT (Phenomena Identification and Ranking Table) on a set of accident scenarios has been applied. Based on the fact that there have been a significant amount of validation studies for decades, development of the code validation matrix concentrated on key issues. Different accident scenarios have been chosen for the PIRT considering typical SFR accident transients that address a large range of phenomena. As the most important and typical Core Disruptive Accident scenarios leading to generalized core melting and to be addressed with SAS-SFR in the present study, ULOF (Unprotected Loss Of Flow), UTOP (Unprotected Transient OverPower) and ULOHS (Unprotected Loss Of Heat Sink) are selected. The PIRT process applied to a given accident scenario consists in an identification of the phenomena involved during the accident, the evaluation of the importance of the phenomena regarding to the evolution and consequences, and the evaluation of the status of knowledge based on the review of available experimental results. The identified phenomena involved in ULOF are explained as follows for the primary phase. Starting from initiating events, a loss of grid power leading to flow coast down without scram is assumed. The scenario up to coolant boiling is the main point within the first part of the ULOF phenomenological chart. Those elements related to reactivity feedback, such as heat up of coolant, fuel and various structures and their deformation due to the thermal transient are picked up. Depending on the time scale before boiling starts, primary, secondary and tertiary loop heat transfer including the DHR (Decay Heat Removal) system response is concerned since it defines the core inlet coolant temperature. Core inlet coolant temperature gives direct impact on the thermal condition of the core. It also affects reactivity through thermal expansion of the grid plate. In the second part of the ULOF phenomenological chart, elements such as coolant boiling, mechanical response of the fuel pin leading to cladding failure, FCI (Fuel-Coolant Interaction) and post-failure material relocation are picked up. This part of the chart is basically common to the ULOHS. Respective identified phenomena are to be simulated in the SAS-SFR code. To validate the function of the models in the code, ten high priority CABRI experiments are selected. Validation studies on these tests are underway. With the present study, important phenomena involved in ULOF, UTOP and ULOHS were identified and an evaluation matrix for the selected CABRI experiments was developed.

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3

Hassall, Maureen, Ben Seligmann, Danellie Lynas, Joel Haight, and Robin Burgess-Limerick. "Predicting Human-System Interaction Risks Associated with Autonomous Systems in Mining." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002313.

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Анотація:

Industry is implementing increasing amounts of automation into operations. The Australian mining industry is no exception as it is introducing autonomous mining vehicles and trains, remote controlled processing plants and the use of drones and robots to do survey and inspection work. Often these technologies are adopted to improve operational efficiencies and to reduce workers' exposure to high risk situations. However, in most mining environments, the adoption of automated technologies has not completely removed humans from the operation. Humans still need to interact with the technology to clean, service and maintain it. Humans also have to perform other tasks in the automated mining environment such as inspection of ground conditions, mapping mining and dump areas, maintaining roads and infrastructure etc. Thus, introducing automation into mining environments has the potential to introduce new and significant human-system interaction safety risks. The emergence of these new safety risks are evident in recent accidents in the mining industry as well as in other industries that have introduced automation. Traditionally, risk based approaches have been used in the Australian mining industry and other industries to identify and treat safety related risks. Such approaches include the use of hazard identification techniques (HAZID), Workplace Risk Assessment and Control (WRAC), Failure Mode and Effects Analysis or Failure Modes and Effects Criticality Analysis (FMEA or FMECA), and Process or Job based Hazard Analysis (PHA or JHA). These traditional techniques have helped reduce fatal and catastrophic incidents in the mining industry but deficiencies in their application has also been highlighted in a number of major accident investigation reports. In addition, recent research has suggested that that traditional risk identification techniques by not be effective for new, software-enabled technologies that are embedded in socio-technical systems with complex or dynamic human-system interactions. In response new socio-technical risk assessment approaches have been develop such as System Theoretic Process Analysis (STPA) and Strategies Analysis for Enhancing Resilience (SAfER). However no publications could be found that seek to understand from a end-user perspective the efficacy of the traditional and new techniques in assessing human-system interaction risks associated with the introduction of autonomous and automated technologies in mining environments.To begin to address this gap, research was conducted that sought to answer the question - What combination of risk assessment techniques delivers the most effective means of identifying risks associated with human-system interactions in remote and autonomous mining operations? The research method involved have mining industry professionals trial four techniques - Preliminary Hazard Analysis (HAZID), Failure Mode and Effects Criticality Analysis (FMECA), Strategies Analysis for Enhancing Resilience (SAfER), and System Theoretic Process Analysis (STPA) (Systems-theory Method) - in a workshop environment. Three different workshops were conducted each of which focused on a different automated technology. The first focused on identifying human-system interaction safety risks in surface mine automated haulage areas. The second focused on identifying human-system interaction safety risk associated with autonomous longwall mining operations underground. The third focused on human-system interaction safety risks associated with remote controlled operation of ore processing plants. After the workshop trialed each technique, the participants were survey to collect their perceptions of the usability and usefulness of each technique. Results from the participant feedback suggest that each techniques was able to identify potentially hazardous human-system interactions but that each had strengths and weaknesses depending on whether risks were being assessed risks pre or post implementation. A hybrid or combination approach was suggested with further testing of the proposed approach being recommended.

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