{"id":13378,"date":"2020-07-04T08:18:19","date_gmt":"2020-07-03T23:18:19","guid":{"rendered":"https:\/\/adc-japan.com\/uk\/clinical-en\/13378.html"},"modified":"2020-07-04T08:18:19","modified_gmt":"2020-07-03T23:18:19","slug":"case-5-a-taxi-driver-who-caused-a-traffic-accident-uchida-kraepelin","status":"publish","type":"post","link":"https:\/\/adc-japan.com\/uk\/en\/clinical-en\/13378.html","title":{"rendered":"Case 5: A taxi driver who caused a traffic accident | Uchida-Kraepelin"},"content":{"rendered":"<aside class=\"uk-ai-translation-notice\" lang=\"en\" style=\"box-sizing:border-box;clear:both;margin:0 0 1.5em;padding:1em;border:1px solid #ccd5de;border-left:4px solid #486581;background:#f4f7fa;color:#243746;font-size:14px;line-height:1.8;overflow-wrap:anywhere;\">\n<p style=\"margin:0;\">This page has been automatically translated from Japanese using generative AI. Translations may contain errors. Please contact us to confirm important information.<\/p>\n<\/aside>\n<div class=\"uk-clinical-layout\" style=\"overflow-wrap:anywhere;\">\n<h4>Case 5: A taxi driver who caused a traffic accident<\/h4>\n<p><a href=\"https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2020\/07\/\u30b0\u30e9\u30d505.jpg\"><img decoding=\"async\" class=\"alignright wp-image-5823 size-full\" src=\"https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2020\/07\/\u30b0\u30e9\u30d505.jpg\" alt=\"Case 5: A taxi driver who caused a traffic accident\" width=\"2126\" height=\"834\" style=\"max-width:100%;height:auto;\" srcset=\"https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2020\/07\/\u30b0\u30e9\u30d505.jpg 2126w, https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2020\/07\/\u30b0\u30e9\u30d505-300x118.jpg 300w, https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2020\/07\/\u30b0\u30e9\u30d505-1024x402.jpg 1024w, https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2020\/07\/\u30b0\u30e9\u30d505-768x301.jpg 768w, https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2020\/07\/\u30b0\u30e9\u30d505-1536x603.jpg 1536w, https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2020\/07\/\u30b0\u30e9\u30d505-2048x803.jpg 2048w\" sizes=\"(max-width: 2126px) 100vw, 2126px\" \/><\/a><\/p>\n<p>This work curve is characterized by a low amount of work at the start of both halves, an upward trend toward the end, and a lack of fluctuation.<\/p>\n<p>Traffic accidents have many different causes, but this curve can be used to infer possible causes of the accident.<\/p>\n<p>Personality and behavioral characteristics such as a delayed response to situations, driving beyond reasonable limits, and limited responsiveness to the surroundings may have contributed to the accident.<\/p>\n<p>However, some people who produce this kind of curve make use of their distinctive characteristics and succeed as specialists.<\/p>\n<hr \/>\n<p>The Uchida-Kraepelin Test is a psychological test using a work-performance method. Examinees perform single-digit addition for a total of 30 minutes, changing rows every minute, with a 5-minute break between the two halves.<\/p>\n<p>Connecting the final calculation position for each minute produces a graph characteristic of the individual examinee.<\/p>\n<p>The upper graph shows the first 15 minutes; the lower graph shows the second 15 minutes.<\/p>\n<p>The red line is the examinee\u2019s own work curve. In this case, the blue line is the average work curve obtained by averaging test results of contemporary Japanese examinees with a similar amount of work.<\/p>\n<p>Interpreting the red line provides insight into the examinee\u2019s latent behavioral characteristics.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>This page has been automatically translated from Japanese using generative AI. Translations may contain errors &hellip; <a href=\"https:\/\/adc-japan.com\/uk\/en\/clinical-en\/13378.html\" class=\"more-link\">\u7d9a\u304d\u3092\u8aad\u3080 <span class=\"screen-reader-text\">Case 5: A taxi driver who caused a traffic accident | Uchida-Kraepelin<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":5823,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[169],"tags":[],"class_list":["post-13378","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-clinical-en"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"This work curve is characterized by a low amount of work at the start of both halves, an upward trend toward the end, and a lack of fluctuation.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" 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