{"id":122,"date":"2021-04-05T15:37:37","date_gmt":"2021-04-05T15:37:37","guid":{"rendered":"https:\/\/aitoolkit.test\/pattern\/g2-a-match-the-level-of-precision-in-ui-communication-with-the-system-performance-language\/"},"modified":"2023-10-25T07:29:54","modified_gmt":"2023-10-25T14:29:54","slug":"g2-a-match-the-level-of-precision-in-ui-communication-with-the-system-performance-language","status":"publish","type":"pattern","link":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/pattern\/g2-a-match-the-level-of-precision-in-ui-communication-with-the-system-performance-language\/","title":{"rendered":"Pattern 2A: Match the level of precision in UI communication with the system performance &#8211;&nbsp;Language"},"content":{"rendered":"\n\n<div class=\"toolkit-heading-with-image-block\">\n\t\n\n<h2 class=\"wp-block-heading\">Pattern 2A: Match the level of precision in UI communication with the system performance &#8211; Language<\/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\/prod\/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\/prod\/2023\/05\/blue-header-bar-1536x14-5-23-1024x10.png 1024w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2023\/05\/blue-header-bar-1536x14-5-23-300x3.png 300w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2023\/05\/blue-header-bar-1536x14-5-23-768x8.png 768w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2023\/05\/blue-header-bar-1536x14-5-23-1536x16.png 1536w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2023\/05\/blue-header-bar-1536x14-5-23-2048x21.png 2048w\" sizes=\"(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 uncertainty in language.<\/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 stakes are low.<\/li>\n\n\n\n<li>The user needs to understand the system might make mistakes.<\/li>\n\n\n\n<li>The user is not interested in precise metrics of system performance.<\/li>\n\n\n\n<li>Precise system performance metrics are not available.<\/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 best qualified with language, match the words\u2019 precision to precision of system performance.<\/p>\n\n\n\n<p>Collaborate 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>When deciding what level of precision to communicate, consider how to communicate the degree of certainty with words such as, for example, \u201cwill\u201d or \u201cis\u201d versus \u201cmay,\u201d \u201cmight,\u201d or \u201cprobably.\u201d<\/p>\n\n\n\n<p>To communicate high system performance, use more certain language.<\/p>\n\n\n\n<p>To communicate that the system may make mistakes, use less certain language.<\/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>Speaks the user\u2019s language and is easy for the user to interpret.<\/li>\n\n\n\n<li>Enables the user to assess how much to trust the system\u2019s output or behavior.<\/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 certain language may lead the user to form over-inflated expectations about system performance.<\/li>\n\n\n\n<li>Language that is too uncertain may lead the user to underestimate system performance.<\/li>\n\n\n\n<li>The use of uncertain language may be subtle and difficult for the user to notice.<\/li>\n\n\n\n<li>Uncertain language is so ambiguous that it becomes meaningless.<\/li>\n\n\n\n<li>Language use treats all instances of system uncertainty as if they were the same.<\/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>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\">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\">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,&nbsp;<a href=\"https:\/\/www.cc.gatech.edu\/~alanwags\/pubs\/Robinette-HRI-2016.pdf\">Overtrust of robots in emergency evacuation scenarios<\/a>, 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":21,"template":"","meta":{"toolkit_pattern_number":"2A","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-122","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 v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pattern 2A: Match the level of precision in UI communication with the system performance - Language - 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-a-match-the-level-of-precision-in-ui-communication-with-the-system-performance-language\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pattern 2A: Match the level of precision in UI communication with the system performance - Language - 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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