{"id":123,"date":"2021-04-05T15:37:37","date_gmt":"2021-04-05T15:37:37","guid":{"rendered":"https:\/\/aitoolkit.test\/pattern\/g2-b-match-the-level-of-precision-in-ui-communication-with-the-system-performance-numbers\/"},"modified":"2023-10-25T07:30:13","modified_gmt":"2023-10-25T14:30:13","slug":"g2-b-match-the-level-of-precision-in-ui-communication-with-the-system-performance-numbers","status":"publish","type":"pattern","link":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/pattern\/g2-b-match-the-level-of-precision-in-ui-communication-with-the-system-performance-numbers\/","title":{"rendered":"Pattern 2B: Match the level of precision in UI communication with the system performance &#8211;&nbsp;Numbers"},"content":{"rendered":"\n\n<div class=\"toolkit-heading-with-image-block\">\n\t\n\n<h2 class=\"wp-block-heading\">Pattern 2B: Match the level of precision in UI communication with the system performance &#8211; Numbers<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"10\" src=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/2023\/05\/blue-header-bar-1536x14-5-23-1024x10.png\" alt=\"blue header bar\" class=\"wp-image-8823\" srcset=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/2023\/05\/blue-header-bar-1536x14-5-23-1024x10.png 1024w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/2023\/05\/blue-header-bar-1536x14-5-23-300x3.png 300w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/2023\/05\/blue-header-bar-1536x14-5-23-768x8.png 768w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/2023\/05\/blue-header-bar-1536x14-5-23-1536x16.png 1536w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/2023\/05\/blue-header-bar-1536x14-5-23-2048x21.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"problem\">Problem<\/h4>\n\n\n\n<p>The user needs to form realistic expectations about how well the system can do what it can do.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"solution\">Solution<\/h4>\n\n\n\n<p>Communicate that the system is probabilistic and may make mistakes through intentional use of precision in numeric measurements.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"use-when\">Use when<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The user needs to understand the system might make mistakes.<\/li>\n\n\n\n<li>System behaviors and\/or outputs can be qualified numerically.<\/li>\n\n\n\n<li>The system output is numerical.<\/li>\n\n\n\n<li>It is useful to qualify numerically individual system behaviors.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"how\">How<\/h4>\n\n\n\n<p>For system outputs and\/or behaviors that are qualified numerically, match precision of numbers used in the UI to the precision of system performance.<\/p>\n\n\n\n<p>Understand the level of numerical precision common to the domain.<\/p>\n\n\n\n<p>Work with an AI\/ML practitioner to get information about the level of precision the system can achieve and its confidence.<\/p>\n\n\n\n<p>Communicate only the numeric measurements directly relevant to the user\u2019s task or goal.<\/p>\n\n\n\n<p>When deciding what level of numerical precision to communicate, consider how many decimal place values to show, how granular measurements should be (e.g., seconds, minutes).<\/p>\n\n\n\n<p>To communicate high system performance, use more precise and granular measurements.<\/p>\n\n\n\n<p>To communicate that the system may make mistakes, use less precise and granular measurements such as range or rounded numbers, or use expressions such as \u201ca few minutes,\u201d \u201cabout,\u201d \u201capproximately\u201d (see pattern&nbsp;<a href=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/pattern\/g2-a-match-the-level-of-precision-in-ui-communication-with-the-system-performance-language\/\">G2-A: Match the level of precision in UI communication with system performance \u2013 Language<\/a>).<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"user-benefits\">User benefits<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enables the user to identify when the system is performing within or outside specifications.<\/li>\n\n\n\n<li>Enables the user to assess how much to trust the system\u2019s output or behavior.<\/li>\n\n\n\n<li>Enables the user to monitor system performance.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"common-pitfalls\">Common pitfalls<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Overly precise numbers may lead the user to form over-inflated expectations about system performance.<\/li>\n\n\n\n<li>Insufficiently precise numbers may lead the user to underestimate system performance.<\/li>\n<\/ul>\n\n\n\n<p><em>Note:<\/em>&nbsp;Over-inflated user expectations have been shown to cause frustration and even product abandonment.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"references\">References<\/h4>\n\n\n\n<p>Model calibration:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Alexandru Niculescu-Mizil and Rich Caruana. 2005.&nbsp;<a href=\"https:\/\/www.cs.cornell.edu\/~alexn\/papers\/calibration.icml05.crc.rev3.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Predicting good probabilities with supervised learning<\/a>. In Proceedings of the 22nd international conference on Machine learning (ICML &#8217;05). Association for Computing Machinery, New York, NY, USA, 625\u2013632. DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1145\/1102351.1102430\">https:\/\/doi.org\/10.1145\/1102351.1102430<\/a><\/li>\n\n\n\n<li>Guo, C., Pleiss, G., Sun, Y. &amp; Weinberger, K.Q.. (2017).&nbsp;<a href=\"http:\/\/proceedings.mlr.press\/v70\/guo17a.html\" target=\"_blank\" rel=\"noreferrer noopener\">On Calibration of Modern Neural Networks<\/a>.&nbsp;<em>Proceedings of the 34th International Conference on Machine Learning, in PMLR<\/em>&nbsp;70:1321-1330<\/li>\n<\/ul>\n\n\n\n<p>Over-inflated user expectations have been shown to cause frustration and even product abandonment:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Jan Hartmann, Antonella De Angeli, and Alistair Sutcliffe. 2008.&nbsp;<a href=\"http:\/\/disi.unitn.it\/~deangeli\/homepage\/lib\/exe\/fetch.php?media=references:deangeli:framing_the_user_experience_information_biases_on_website_quality_judgement.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Framing the user experience: information biases on website quality judgement<\/a>. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI &#8217;08). Association for Computing Machinery, New York, NY, USA, 855\u2013864. DOI:<a href=\"https:\/\/doi.org\/10.1145\/1357054.1357190\">https:\/\/doi.org\/10.1145\/1357054.1357190<\/a><\/li>\n\n\n\n<li>Jaroslav Michalco, Jakob Grue Simonsen &amp; Kasper Hornb\u00e6k (2015)&nbsp;<a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/10447318.2015.1065696\" target=\"_blank\" rel=\"noreferrer noopener\">An Exploration of the Relation Between Expectations and User Experience<\/a>, International Journal of Human\u2013Computer Interaction, 31:9, 603-617, DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1080\/10447318.2015.1065696\">10.1080\/10447318.2015.1065696<\/a><\/li>\n\n\n\n<li>Daniel S. Weld and Gagan Basal. 2018. Intelligible Artificial Intelligence<\/li>\n\n\n\n<li>P. Robinette, W. Li, R. Allen, A. M. Howard and A. R. Wagner, &#8220;<a href=\"https:\/\/www.cc.gatech.edu\/~alanwags\/pubs\/Robinette-HRI-2016.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Overtrust of robots in emergency evacuation scenarios<\/a>,&#8221; 2016 11th ACM\/IEEE International Conference on Human-Robot Interaction (HRI), Christchurch, 2016, pp. 101-108, doi: 10.1109\/HRI.2016.7451740.<\/li>\n<\/ul>\n","protected":false},"menu_order":22,"template":"","meta":{"toolkit_pattern_number":"2B","ep_exclude_from_search":false},"application-type":[68,61,57,96,60,99,56,55,69,29,58,30,59],"goal":[114,126,123],"guideline-term":[4],"product-category":[71,70,23,64,62,26,66,28,65,31,32,63],"class_list":["post-123","pattern","type-pattern","status-publish","hentry","application-type-classification","application-type-facial-recognition","application-type-filtering-and-ranking","application-type-gen-ai","application-type-image-recognition","application-type-llm","application-type-natural-language-processing-text","application-type-natural-language-processing-voice","application-type-prediction","application-type-recommendation","application-type-route-planning","application-type-search","application-type-text-generation","goal-appropriate-reliance","goal-reliability","goal-transparency","guideline-term-make-clear-how-well-the-system-can-do-what-it-can-do","product-category-advertising","product-category-chatbot","product-category-e-commerce","product-category-email","product-category-health-and-wellness","product-category-navigation","product-category-media-entertainment","product-category-productivity","product-category-search-engine","product-category-social-networks","product-category-voice-assistants","product-category-writing-and-editing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Pattern 2B: Match the level of precision in UI communication with the system performance - Numbers - Microsoft HAX Toolkit<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/pattern\/g2-b-match-the-level-of-precision-in-ui-communication-with-the-system-performance-numbers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pattern 2B: Match the level of precision in UI communication with the system performance - Numbers - Microsoft HAX Toolkit\" \/>\n<meta property=\"og:description\" content=\"Problem The user needs to form realistic expectations about how well the system can do what it can do. 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Use when How For system outputs and\/or behaviors that are qualified numerically, match precision of numbers used [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/pattern\/g2-b-match-the-level-of-precision-in-ui-communication-with-the-system-performance-numbers\/\" \/>\n<meta property=\"og:site_name\" content=\"Microsoft HAX Toolkit\" \/>\n<meta property=\"article:modified_time\" content=\"2023-10-25T14:30:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2023\/05\/blue-header-bar-1536x14-5-23-1024x10.png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n\t<meta name=\"twitter:label2\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data2\" content=\"Shipi Dhanorkar\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.microsoft.com\\\/en-us\\\/haxtoolkit\\\/pattern\\\/g2-b-match-the-level-of-precision-in-ui-communication-with-the-system-performance-numbers\\\/\",\"url\":\"https:\\\/\\\/www.microsoft.com\\\/en-us\\\/haxtoolkit\\\/pattern\\\/g2-b-match-the-level-of-precision-in-ui-communication-with-the-system-performance-numbers\\\/\",\"name\":\"Pattern 2B: Match the level of precision in UI communication with the system performance - 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