{"id":1576,"date":"2022-07-01T11:55:00","date_gmt":"2022-07-01T03:55:00","guid":{"rendered":"https:\/\/tongjicdi.com\/?p=1576"},"modified":"2025-05-29T12:07:39","modified_gmt":"2025-05-29T04:07:39","slug":"towards-scenario-based-and-question-driven-explanations-in-autonomous-vehicles","status":"publish","type":"post","link":"https:\/\/tongjicdi.com\/index.php\/2022\/07\/01\/towards-scenario-based-and-question-driven-explanations-in-autonomous-vehicles\/","title":{"rendered":"Towards Scenario-Based and Question-Driven Explanations in Autonomous Vehicles"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1576\" class=\"elementor elementor-1576\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a11a196 e-flex e-con-boxed e-con e-parent\" data-id=\"a11a196\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2f8a02f4 elementor-widget elementor-widget-theme-post-featured-image elementor-widget-image\" data-id=\"2f8a02f4\" data-element_type=\"widget\" data-widget_type=\"theme-post-featured-image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.22.0 - 24-06-2024 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"288\" src=\"https:\/\/tongjicdi.com\/wp-content\/uploads\/2025\/05\/Snipaste_2025-05-29_11-57-01-1024x368.png\" class=\"attachment-large size-large wp-image-1577\" alt=\"\" srcset=\"https:\/\/tongjicdi.com\/wp-content\/uploads\/2025\/05\/Snipaste_2025-05-29_11-57-01-1024x368.png 1024w, https:\/\/tongjicdi.com\/wp-content\/uploads\/2025\/05\/Snipaste_2025-05-29_11-57-01-300x108.png 300w, https:\/\/tongjicdi.com\/wp-content\/uploads\/2025\/05\/Snipaste_2025-05-29_11-57-01-768x276.png 768w, https:\/\/tongjicdi.com\/wp-content\/uploads\/2025\/05\/Snipaste_2025-05-29_11-57-01.png 1374w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-239c0560 elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"239c0560\" data-element_type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.22.0 - 24-06-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h1 class=\"elementor-heading-title elementor-size-default\">Towards Scenario-Based and Question-Driven Explanations in Autonomous Vehicles<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62e7876a elementor-widget elementor-widget-text-editor\" data-id=\"62e7876a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.22.0 - 24-06-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Yiwen Zhang , Weiwei Guo, Cheng Chi, Lu Hou, and Xiaohua Sun<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f03ea45 elementor-widget elementor-widget-text-editor\" data-id=\"3f03ea45\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>International Conference on Human-Computer Interaction (2022)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1a088f49 e-flex e-con-boxed e-con e-parent\" data-id=\"1a088f49\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-48ebee5f elementor-widget elementor-widget-heading\" data-id=\"48ebee5f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u6458\u8981\/Abstract<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6ac63168 e-flex e-con-boxed e-con e-parent\" data-id=\"6ac63168\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-491505b8 e-con-full e-flex e-con e-child\" data-id=\"491505b8\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7fb72843 elementor-widget elementor-widget-text-editor\" data-id=\"7fb72843\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>\u53d7\u76ca\u4e8e\u53ef\u89e3\u91ca\u4eba\u5de5\u667a\u80fd \uff08XAI\uff09 \u9886\u57df\u7684\u8fdb\u6b65\uff0c\u89e3\u91ca\u5728\u81ea\u52a8\u9a7e\u9a76\u6c7d\u8f66 \uff08AV\uff09 \u73af\u5883\u4e2d\u8d8a\u6765\u8d8a\u5177\u6709\u524d\u77bb\u6027\u3002\u4e8b\u5b9e\u8bc1\u660e\uff0c\u63d0\u4f9b\u89e3\u91ca\u5bf9\u4e8e\u4eba\u673a\u4ea4\u4e92\u81f3\u5173\u91cd\u8981\uff0c\u4f46\u89e3\u91ca\u4ec0\u4e48\u4ee5\u53ca\u5982\u4f55\u89e3\u91ca\u4ecd\u6709\u5f85\u89e3\u51b3\u3002\u672c\u7814\u7a76\u65e8\u5728\u901a\u8fc7\u7ed3\u5408\u7528\u6237\u548c\u7814\u7a76\u4eba\u5458\u7684\u89c2\u70b9\uff0c\u5728 XAI \u548c\u4eba\u673a\u4ea4\u4e92\u9886\u57df\u4e4b\u95f4\u67b6\u8d77\u6865\u6881\u3002\u5728\u672c\u6587\u4e2d\uff0c\u63d0\u51fa\u4e86\u4e00\u4e2a\u89e3\u91ca\u6a21\u578b\u7684\u6982\u5ff5\u6846\u67b6\uff0c\u4ee5\u6307\u793a\u5728 Human-AV \u4ea4\u4e92\u4e2d\u9700\u8981\u89e3\u91ca\u54ea\u4e9b\u65b9\u9762\u3002\u57fa\u4e8e\u8be5\u6846\u67b6\uff0c\u6211\u4eec\u5f15\u5165\u4e86\u4e00\u79cd\u57fa\u4e8e\u573a\u666f\u548c\u95ee\u9898\u9a71\u52a8\u7684\u65b9\u6cd5\uff0c\u5373 SQX-canvas\uff0c\u4ee5\u6307\u5bfc\u5728\u67d0\u4e2a AV \u573a\u666f\u4e2d\u6839\u636e\u7528\u6237\u9700\u6c42\u751f\u6210\u89e3\u91ca\u7684\u5de5\u4f5c\u6d41\u7a0b\u3002\u4e3a\u4e86\u5bf9\u8be5\u65b9\u6cd5\u8fdb\u884c\u521d\u6b65\u9a8c\u8bc1\uff0c\u6211\u4eec\u4e3e\u529e\u4e86\u4e00\u6b21\u6d89\u53ca\u7814\u7a76\u4eba\u5458\u548c\u7528\u6237\u7684\u5171\u540c\u8bbe\u8ba1\u7814\u8ba8\u4f1a\uff0c\u4ee5\u89c6\u9891\u526a\u8f91\u7684\u5f62\u5f0f\u63d0\u4f9b\u4e86\u56db\u4e2a AV \u573a\u666f\u3002\u53c2\u4e0e\u8005\u6309\u7167 \u201c\u60c5\u666f\u3001\u95ee\u9898\u548c\u89e3\u91ca\u201d \u8fc7\u7a0b\u63d0\u51fa\u4e86\u89e3\u91ca\u6982\u5ff5\u5e76\u8868\u8fbe\u4e86\u4ed6\u4eec\u5bf9 AV \u573a\u666f\u7684\u6001\u5ea6\u3002\u5f88\u660e\u663e\uff0c\u7528\u6237\u5bf9\u89e3\u91ca\u7684\u9700\u6c42\u56e0\u573a\u666f\u800c\u5f02\uff0c\u5e76\u8ba8\u8bba\u4e86\u53d1\u73b0\u548c\u5c40\u9650\u6027\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u4e3a\u4fc3\u8fdb\u900f\u660e\u7684\u4eba\u673a\u4ea4\u4e92\u7684\u7814\u7a76\u548c\u5b9e\u8df5\u63d0\u4f9b\u542f\u793a\u3002<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1d859959 e-con-full e-flex e-con e-child\" data-id=\"1d859959\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2c6c5dca elementor-widget elementor-widget-text-editor\" data-id=\"2c6c5dca\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tBenefit from the progress in the field of explainable artificial intelligence (XAI), explanations have been increasingly prospective in the autonomous vehicle (AV) context. Providing explanations has been proved to be vital for human-AV interaction, but what and how to explain are still to be addressed. This study seeks to bridge the areas of XAI and human-AV interaction by combining perspectives of both users and researchers. In this paper, a conceptual framework of explanation models was proposed to indicate what aspects to explain in human-AV interaction. Based on the framework, we introduced a scenario-based and question-driven method, i.e., the SQX-canvas, to guide the workflow of generating explanations from users\u2019 demands in a certain AV scenario. To make an initial validation of the method, a co-design workshop involving researchers and users was conducted with four AV scenarios provided in forms of video clips. Participants produced explanation concepts and expressed their attitudes towards the AV scenarios following the \u201cscenario, question and explanation\u201d process. It was apparent that users\u2019 demands of explanations varied across scenarios, and findings as well as limitations were discussed. This method could provide implications for research and practice on facilitating transparent human-AV interaction.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d491e6d e-flex e-con-boxed e-con e-parent\" data-id=\"3d491e6d\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-23b19331 elementor-widget elementor-widget-spacer\" data-id=\"23b19331\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.22.0 - 24-06-2024 *\/\n.elementor-column 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elementor-size-default\">\u76f8\u5173\u4fe1\u606f\/Info<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d8d133a e-flex e-con-boxed e-con e-parent\" data-id=\"3d8d133a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-2b623d5c e-con-full e-flex e-con e-child\" data-id=\"2b623d5c\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5cdfae3d elementor-widget elementor-widget-heading\" data-id=\"5cdfae3d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u4f5c\u8005\/Authors<br><\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-102da245 elementor-widget elementor-widget-heading\" data-id=\"102da245\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u94fe\u63a5\/Link<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-95bc3e9 e-con-full e-flex e-con e-child\" data-id=\"95bc3e9\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3a3eb34a elementor-widget elementor-widget-text-editor\" data-id=\"3a3eb34a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Yiwen Zhang , Weiwei Guo, Cheng Chi, Lu Hou, and Xiaohua Sun<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-407d2c32 elementor-widget elementor-widget-text-editor\" data-id=\"407d2c32\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-04987-3_7<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-51c70c5c e-flex e-con-boxed e-con e-parent\" data-id=\"51c70c5c\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-48ef4e5e elementor-widget elementor-widget-spacer\" data-id=\"48ef4e5e\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-40e2045d e-flex e-con-boxed e-con e-parent\" data-id=\"40e2045d\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6c0902f9 elementor-widget elementor-widget-spacer\" data-id=\"6c0902f9\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5b340d90 e-flex e-con-boxed e-con e-parent\" data-id=\"5b340d90\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-31fc460 elementor-widget elementor-widget-heading\" data-id=\"31fc460\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 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elementor-animated-content\" href=\"https:\/\/tongjicdi.com\/wp-content\/uploads\/2025\/05\/Snipaste_2025-05-29_11-57-58.png\" data-elementor-open-lightbox=\"no\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/tongjicdi.com\/wp-content\/uploads\/2025\/05\/Snipaste_2025-05-29_11-57-58.png\" data-width=\"1374\" data-height=\"582\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/tongjicdi.com\/wp-content\/uploads\/2025\/05\/\u957f\u622a\u56fe_20250529_120134.png\" data-elementor-open-lightbox=\"no\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/tongjicdi.com\/wp-content\/uploads\/2025\/05\/\u957f\u622a\u56fe_20250529_120134.png\" data-width=\"1271\" data-height=\"1800\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Benefit from the progress in the field of explainable artificial intelligence (XAI), explanations have been increasingly prospective in the autonomous vehicle (AV) context. Providing explanations has been proved to be vital for human-AV interaction, but what and how to explain are still to be addressed. This study seeks to bridge the areas of XAI and human-AV interaction by combining perspectives of both users and researchers. In this paper, a conceptual framework of explanation models was proposed to indicate what aspects to explain in human-AV interaction. Based on the framework, we introduced a scenario-based and question-driven method, i.e., the SQX-canvas, to guide the workflow of generating explanations from users\u2019 demands in a certain AV scenario. To make an initial validation of the method, a co-design workshop involving researchers and users was conducted with four AV scenarios provided in forms of video clips. Participants produced explanation concepts and expressed their attitudes towards the AV scenarios following the \u201cscenario, question and explanation\u201d process. It was apparent that users\u2019 demands of explanations varied across scenarios, and findings as well as limitations were discussed. This method could provide implications for research and practice on facilitating transparent human-AV interaction.<\/p>\n","protected":false},"author":1,"featured_media":1577,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27],"tags":[],"class_list":["post-1576","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hri"],"_links":{"self":[{"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/posts\/1576","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/comments?post=1576"}],"version-history":[{"count":7,"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/posts\/1576\/revisions"}],"predecessor-version":[{"id":1589,"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/posts\/1576\/revisions\/1589"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/media\/1577"}],"wp:attachment":[{"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/media?parent=1576"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/categories?post=1576"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tongjicdi.com\/index.php\/wp-json\/wp\/v2\/tags?post=1576"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}