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Journal articles on the topic 'Task analysis'

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Published: 4 June 2021
Last updated: 31 July 2024

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1

MOORE, D. "Task analysis." Journal of Nurse-Midwifery 30, no. 2 (March 1985): 117–21. http://dx.doi.org/10.1016/0091-2182(85)90119-3.

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2

Ainsworth, Les. "A Task Analysis of the Task Analysis Process." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 53, no. 24 (October 2009): 1835–38. http://dx.doi.org/10.1177/154193120905302404.

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3

Vicente, Kim J. "Task Analysis, Cognitive Task Analysis, Cognitive Work Analysis: What's the Difference?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 9 (October 1995): 534–37. http://dx.doi.org/10.1177/154193129503900921.

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The term cognitive task analysis (CTA) has been appearing in the human factors literature with increasing frequency. Others have used the term cognitive work analysis (CWA). Is there a difference? Do either of these methods differ from traditional task analysis (TA)? If so, what advantages can CTA/CWA provide human factors engineers? To address these issues, the history of work analysis methods and the evolution of work are reviewed. Work method analyses of the 19th century were suited to manual labor. As job demands progressed beyond the physical, traditional TA was introduced to provide a broader perspective. CTA has since been introduced to increase the emphasis on cognitive task demands. However, CTA, like TA, is incapable of dealing with unanticipated task demands. CWA has been introduced to deal with complex systems whose demands include unanticipated events. The initial evidence available indicates that CWA can be applied to industry-scale problems, leading to innovative designs.
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4

Lee, Jina, and Eun Kyung Kim. "Analyzing Collaborative Talk in a Student Managed Task-based Fine Art Activity." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 18 (September 30, 2022): 767–82. http://dx.doi.org/10.22251/jlcci.2022.22.18.767.

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Objectives This is a qualitative study of the fine art group activity in the eyes of sociolinguistics. Using conversation analysis, this study aims to scrutinize how the actual collaborative talk dynamics take place in a student managed task-based art activity. Methods In order to have a close look at the collaborative talk, we focused directly on face-to-face talk-in-interaction of four students’ during their two hour group activity in a college art class, ‘understanding of contemporary art’. The student managed task-based group activity was a part of liberal arts course especially in the 11th week of spring semester, 2022 at a university in Seoul, Korea. The data was collected via video recording of the two hour group discussion, and the recorded talk was all transcribed for conversation analysis which is the main tool of analyzing students’ talk. Results The procedure of students task-based activity included the following four steps: (1) sharing and choosing an agreed task topic to work on, (2) cooperative opinion sharing for making the art work, such as materials and method (3) actual making and art work completion, (4) wrapping up and cleaning. Conversation analysis is a study of turn-taking organization of talk-in-interaction to find how the participants manage and display intersubjectivity in talk. In the students’ talk occurred in the process of the student managed group task, we found several turn-taking types resulting reciprocal support in order to develop the task product: (1) topic change, (2) other-initiated second turn repair, (3) reactive tokens, and (4) other question-answer sequences with mutually supporting verbal and nonverbal moves. Conclusions This study is quite valuable in terms that it addressed the naturally occuring process of turn-taking sequences by analyzing students’ talk-in-interaction in depth when the students were engaged in collaborative task-based activity to complete an act work. As noted in the result, most of the various types of turn-taking lead mutual support and agreement of each other’s thought in order to produce the collaborative task completion rather than aggressive debate and disagreement.
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5

Cohen, Maxine S., David G. Payne, and Richard E. Pastore. "COMPUTERIZED TASK ANALYSIS." ACM SIGCHI Bulletin 23, no. 4 (October 1991): 57–58. http://dx.doi.org/10.1145/126729.1056061.

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6

Fuller, Helen J. A., and Tandi M. Bagian. "Task Excursion Analysis." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 3, no. 1 (June 2014): 203–6. http://dx.doi.org/10.1177/2327857914031033.

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This paper introduces Task Excursion Analysis (TEA), a new approach for assessing medical device usability that is under development at the Veterans Health Administration’s National Center for Patient Safety. This approach will aid in identifying vulnerabilities that exist in the design of a device and, eventually, it will allow purchasers and users to select a device that will minimize the potential harm to patients.
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7

Fidler, James R. "Task Analysis Revisited." Evaluation & the Health Professions 30, no. 2 (June 2007): 150–69. http://dx.doi.org/10.1177/0163278707300631.

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8

Arthur, Winfred, Ryan M. Glaze, Alok Bhupatkar, Anton J. Villado, Winston Bennett, and Leah J. Rowe. "Team Task Analysis." Human Factors: The Journal of the Human Factors and Ergonomics Society 54, no. 2 (March 7, 2012): 277–95. http://dx.doi.org/10.1177/0018720811435234.

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9

Wingfield, Laura R., Myutan Kulendran, Andre Chow, Jean Nehme, and Sanjay Purkayastha. "Cognitive Task Analysis." Surgical Innovation 22, no. 4 (November 12, 2014): 406–17. http://dx.doi.org/10.1177/1553350614556364.

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10

Li, Ping. "Cognitive task analysis." OCLC Systems & Services: International digital library perspectives 21, no. 3 (September 2005): 252–56. http://dx.doi.org/10.1108/10650750510612443.

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11

Mark, Timothy. "Classroom task analysis." British Journal of In-Service Education 13, no. 1 (December 1986): 39–41. http://dx.doi.org/10.1080/0305763860130110.

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12

Gay, Towns. "Task analysis tips." Performance + Instruction 29, no. 4 (April 1990): 21–22. http://dx.doi.org/10.1002/pfi.4160290405.

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13

Fath, Janet L., and Randolph G. Bias. "Taking the “Task” Out of Task Analysis." Proceedings of the Human Factors Society Annual Meeting 36, no. 4 (October 1992): 379–83. http://dx.doi.org/10.1177/154193129203600425.

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Task analysis is a well-accepted component of user-centered design. It is often left out of the design process, however, due to a lack of practical methods, the difficulty in predicting the amount of resource required to perform it, and a short supply of people with the appropriate skills. A solution to these problems is a structured set of activities that compose a task analysis and relate to the overall design process. The general framework into which these activities fit has three phases: Data Collection, Data Analysis, and Design. During the Data Collection phase, user and task data are collected and validated. The Data Analysis phase requires analyzing the user and task data in a way that results in suggestions for information representation, navigation, terminology, and consistency. Finally, the Design phase requires translating the suggestions from the Data Analysis phase into a viable product. A prototype task analysis workbook was developed to assess the feasibility of the structured approach to task analysis. The workbook includes tools for data collection, data analysis, and design, as well as instructions for how to use the tools. Over a period of two years, the workbook was used in five different development projects. A representative from each group was interviewed to determine how the workbook was used and which parts were most useful. Results of the interviews indicate that the workbook approach has merit.
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14

Mizoguchi, R. "Task analysis interview based on task ontology." Expert Systems with Applications 9, no. 1 (1995): 15–25. http://dx.doi.org/10.1016/0957-4174(94)00044-v.

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15

Jonassen, David H., and Wallace H. Hannum. "Analysis of task analysis procedures." Journal of Instructional Development 9, no. 2 (June 1986): 2–12. http://dx.doi.org/10.1007/bf02905208.

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16

Song, Chang-Sun, Hyuk-Jin Kwon, Kyeong-Tae Kim, Jin-Ha Kim, Dong-Sik Lee, and Young-Woo Sohn. "Exploring Air Traffic Controllers' Expertise through Cognitive Task Analysis." Journal of the Korean Society for Aviation and Aeronautics 22, no. 4 (December 31, 2014): 42–55. http://dx.doi.org/10.12985/ksaa.2014.22.4.042.

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17

Whitefield, Andy, and Becky Hill. "Comparative analysis of task analysis products." Interacting with Computers 6, no. 3 (September 1994): 289–309. http://dx.doi.org/10.1016/0953-5438(94)90017-5.

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18

Meusel, Chase, Norene Kelly, Stephen Gilbert, Michael Dorneich, Brian Gilmore, and Bruce Newendorp. "Operator-Centered Task Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59, no. 1 (September 2015): 841–45. http://dx.doi.org/10.1177/1541931215591253.

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19

Diaper, Dan. "Scenarios and task analysis." Interacting with Computers 14, no. 4 (July 2002): 379–95. http://dx.doi.org/10.1016/s0953-5438(02)00005-x.

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20

Landau, Kurt, Walter Rohmert, and Regina Brauchler. "Task analysis: Part I –." International Journal of Industrial Ergonomics 22, no. 1-2 (August 1998): 3–11. http://dx.doi.org/10.1016/s0169-8141(97)00064-4.

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21

Brauchler, Regina, and Kurt Landau. "Task analysis: Part II –." International Journal of Industrial Ergonomics 22, no. 1-2 (August 1998): 13–35. http://dx.doi.org/10.1016/s0169-8141(97)00065-6.

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22

Zachary, Wayne, Robert Hoffman, Beth Crandall, Tom Miller, and Christopher Nemeth. ""Rapidized" cognitive task analysis." IEEE Intelligent Systems 27, no. 2 (March 2012): 61–66. http://dx.doi.org/10.1109/mis.2012.29.

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23

Wang, Shouhong. "Object-oriented task analysis." Information & Management 29, no. 6 (December 1995): 331–41. http://dx.doi.org/10.1016/0378-7206(95)00036-x.

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24

SUTCLIFFE, ALISTAIR. "Task-related information analysis." International Journal of Human-Computer Studies 47, no. 2 (August 1997): 223–57. http://dx.doi.org/10.1006/ijhc.1997.0118.

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25

Becker, Richard D. "Task analysis without trauma." Performance + Instruction 34, no. 5 (May 1995): 4–7. http://dx.doi.org/10.1002/pfi.4170340503.

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26

Sebillotte, Suzanne. "Hierarchical planning as method for task analysis: the example of office task analysis." Behaviour & Information Technology 7, no. 3 (July 1988): 275–93. http://dx.doi.org/10.1080/01449298808901878.

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27

Laurids Boring, Ronald. "Aligning Task Analysis With Human Reliability Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59, no. 1 (September 2015): 416–20. http://dx.doi.org/10.1177/1541931215591088.

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28

Champney, Roberto K., Meredith Carroll, Laura Milham, and Kelly Hale. "Sensory-Perceptual Objective Task (SPOT) Taxonomy: A Task Analysis Tool." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 52, no. 24 (September 2008): 1929–33. http://dx.doi.org/10.1177/154193120805202402.

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29

Horvath, Michael, Hailey A. Herleman, and R. Lee McKie. "Goal orientation, task difficulty, and task interest: A multilevel analysis." Motivation and Emotion 30, no. 2 (July 25, 2006): 169–76. http://dx.doi.org/10.1007/s11031-006-9029-6.

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30

Nguyen, Huyen T. M., Hung V. Nguyen, Quyen T. Ngo, Luong X. Vu, Vu Mai Tran, Bach X. Ngo, and Cuong A. Le. "VLSP SHARED TASK: SENTIMENT ANALYSIS." Journal of Computer Science and Cybernetics 34, no. 4 (January 30, 2019): 295–310. http://dx.doi.org/10.15625/1813-9663/34/4/13160.

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Sentiment analysis is a natural language processing (NLP) task of identifying orextracting the sentiment content of a text unit. This task has become an active research topic since the early 2000s. During the two last editions of the VLSP workshop series, the shared task on Sentiment Analysis (SA) for Vietnamese has been organized in order to provide an objective evaluation measurement about the performance (quality) of sentiment analysis tools, and encouragethe development of Vietnamese sentiment analysis systems, as well as to provide benchmark datasets for this task. The rst campaign in 2016 only focused on the sentiment polarity classication, with a dataset containing reviews of electronic products. The second campaign in 2018 addressed the problem of Aspect Based Sentiment Analysis (ABSA) for Vietnamese, by providing two datasets containing reviews in restaurant and hotel domains. These data are accessible for research purpose via the VLSP website vlsp.org.vn/resources. This paper describes the built datasets as well as the evaluation results of the systems participating to these campaigns.
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31

YOSHIKAWA, Hidekazu, and Yuji NIWA. "Human Factor― (5) Task Analysis." Journal of the Atomic Energy Society of Japan / Atomic Energy Society of Japan 45, no. 2 (2003): 121–32. http://dx.doi.org/10.3327/jaesj.45.121.

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32

Ohlsson, Stellan. "Task Analysis: Now or Then?" Contemporary Psychology: A Journal of Reviews 36, no. 5 (May 1991): 420–21. http://dx.doi.org/10.1037/029727.

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33

Wier, Alan P. "New Directions in Task Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 15 (October 1993): 1037. http://dx.doi.org/10.1177/154193129303701509.

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A demonstration of a new graphic notation system which expands the existing symbol set associated with operational sequence diagrams. The notation system is being developed as part of a computer-aided instructional program created for undergraduate students involved in human factor studies. The basic premise of the notation system is to enhance the practitioners understanding of human-machine processes during task analysis and operational sequence diagramming. The author can be contacted at the Department of Industrial Design, 380 Hopkins Hall, The Ohio State University, Columbus, Ohio. Telephone: 614 292-7311; email address, awier@magnus.acs.ohio-state.edu
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34

Edmondson, William H., and John F. Meech. "Putting task analysis into context." ACM SIGCHI Bulletin 26, no. 4 (October 1994): 59–63. http://dx.doi.org/10.1145/191642.191663.

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35

KANAYA, Kenichiro. "Task Imposed on Food Analysis." Kobunshi 49, no. 6 (2000): 388. http://dx.doi.org/10.1295/kobunshi.49.388.

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36

Fiedler, I., and J. Melvin. "LARGE DATABASE DEVELOPMENT: TASK ANALYSIS." American Journal of Physical Medicine & Rehabilitation 72, no. 4 (August 1993): 239. http://dx.doi.org/10.1097/00002060-199308000-00037.

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37

Monteiro, Margareth. "Ecological Task Analysis and Movement." Adapted Physical Activity Quarterly 25, no. 4 (October 2008): 352–56. http://dx.doi.org/10.1123/apaq.25.4.352.

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38

Clark, Richard E., and Fred Estes. "Cognitive task analysis for training." International Journal of Educational Research 25, no. 5 (January 1996): 403–17. http://dx.doi.org/10.1016/s0883-0355(97)81235-9.

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39

McAtamney, L., and EN Corlett. "Software: Hyperlift lifting task analysis." Clinical Biomechanics 11, no. 3 (April 1996): 179. http://dx.doi.org/10.1016/s0268-0033(96)90036-4.

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40

Ryan, Mandy. "Taking Conjoint Analysis to Task." Value in Health 14, no. 4 (June 2011): 401–2. http://dx.doi.org/10.1016/j.jval.2011.04.001.

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41

Kumar, Shrawan. "A guide to task analysis." International Journal of Industrial Ergonomics 16, no. 2 (August 1995): 147–48. http://dx.doi.org/10.1016/0169-8141(95)90003-9.

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42

Hale, Andrew. "A guide to task analysis." Safety Science 18, no. 1 (August 1994): 63–64. http://dx.doi.org/10.1016/0925-7535(94)90043-4.

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43

Tofel-Grehl, Colby, and David F. Feldon. "Cognitive Task Analysis–Based Training." Journal of Cognitive Engineering and Decision Making 7, no. 3 (January 29, 2013): 293–304. http://dx.doi.org/10.1177/1555343412474821.

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44

Anderhub, Beth. "The Task and Instructional Analysis." Journal of Diagnostic Medical Sonography 3, no. 3 (May 1987): 152–53. http://dx.doi.org/10.1177/875647938700300310.

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45

Early, Larry Allan. "The Abdomen Sonographer Task Analysis." Journal of Diagnostic Medical Sonography 4, no. 5 (September 1988): 253–54. http://dx.doi.org/10.1177/875647938800400504.

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46

Wilson, John R. "A guide to task analysis." Applied Ergonomics 25, no. 5 (October 1994): 339–40. http://dx.doi.org/10.1016/0003-6870(94)90051-5.

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47

Adams, Anne E., Wendy A. Rogers, and Arthur D. Fisk. "Skill components of task analysis." Instructional Science 41, no. 6 (February 20, 2013): 1009–46. http://dx.doi.org/10.1007/s11251-013-9270-9.

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48

Lee, Hanna, FNU Rahul, Basiel Makled, Conner Parsey, Jack Norfleet, and Suvranu De. "Cognitive Task Analysis of Escharotomy." Military Medicine 188, Supplement_6 (November 1, 2023): 255–61. http://dx.doi.org/10.1093/milmed/usad104.

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ABSTRACT Introduction With the Army’s emerging doctrine of prolonged field care, and with burns being a common injury among soldiers, non-expert providers must be trained to perform escharotomy when indicated. However, the existing physical simulators and training protocols are not sufficient for training non-experts for performing effective escharotomy. Hence, to provide guidance in developing realistic escharotomy simulators and effective training protocols suitable for prolonged field care, a cognitive task analysis (CTA) is needed. This work aims to obtain educative information from expert burn surgeons regarding escharotomy procedures via the CTA. Materials and methods The CTA was done by interviewing five subject matter experts with experience in performing escharotomy ranging from 20 to over 100 procedures and analyzing their responses. Interview questions were developed to obtain educative information from expert burn surgeons regarding the escharotomy procedure. A “gold standard protocol” was developed based on the CTA of each of the subject matter experts. Results The CTA helped identify general themes, including objectives, conditions that mandate escharotomy, signs of successful escharotomy, precautions, challenges, decisions, and performance standards, and specific learning goals such as the use of equipment, vital signs, performing the procedure, and preoperative and postoperative care. A unique aspect of this CTA is that it identifies the background information and preparations that could be useful to the practitioners at various levels of expertise. Conclusions The CTA enabled us to compile a “gold standard protocol” for escharotomy that may serve as a guide for practitioners at various levels of expertise. This information will provide a framework for escharotomy training systems and simulators.
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49

Kwon, Sangki, Changsoo Lee, and Seung-Hun Park. "THM Coupling Analysis for Decovalex-2015 Task B2." Journal of Korean Society For Rock Mechanics 25, no. 6 (December 31, 2015): 556–67. http://dx.doi.org/10.7474/tus.2015.25.6.556.

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50

Theodorakis, Yannis, Stiliani Chroni, Kostas Laparidis, Vagelis Bebetsos, and Irini Douma. "Self-Talk in a Basketball-Shooting Task." Perceptual and Motor Skills 92, no. 1 (February 2001): 309–15. http://dx.doi.org/10.2466/pms.2001.92.1.309.

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This study examined the effectiveness of two different types of self-talk on the performance of a basketball-shooting task. 60 physical education and sports sciences students were organized into one control and two treatment groups which used self-talk. During the experiment, the control group performed with the general instructions, whereas the self-talk groups used the cue-words “relax” and “fast,” respectively. Analysis showed that only the participants of the self-talk group who used the word “relax” improved their performance significantly as compared to the other two groups. It appears that self-talk can positively affect performance if its content is appropriate for the task performed.
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