[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-648482-105":3,"detail-sidebar-cat-0-en-105":80,"doc-detail-648482-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":73,"head_meta":75,"extra_data":77,"updated_unix":79},105,"en","sketching-and-communicating-design-intent-an-analysis-of-technology","SKETCHING AND COMMUNICATING DESIGN INTENT - An analysis of technology","","Schematic design sketching and the communication of design intent are examined as a strong basis for integrating technological innovation. Changes in new technology and the move toward ubiquitous computing indicate a strategic direction for design computing research. The paper analyzes major variations and trends across 50 years, focusing on computational support for sketching and for conveying intent, including paradigm shifts in sketch recognition and ambiguity management.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/sketching-and-communicating-design-intent-an-analysis-of-technology/648482/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/sketching-and-communicating-design-intent-an-analysis-of-technology/648482.png","ImageObject",300,407,{"name":42,"@type":43},"Đào","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-24","2026-10-23",true,{"@type":52,"interactionType":53,"userInteractionCount":22},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What is the paper’s main focus regarding technology and design research?","Question",{"text":62,"@type":63},"It analyzes how computational approaches support sketching and the communication of design intent, tracking major shifts over the last 50 years.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"Why is ambiguity in sketches a key challenge for computational support?",{"text":67,"@type":63},"Sketches are inherently ambiguous, which makes it difficult for computers to interpret drawings; the paper highlights the need to overcome this hurdle.",{"name":69,"@type":60,"acceptedAnswer":70},"How does the paper categorize research areas in computational sketching?",{"text":71,"@type":63},"It subdivides the literature into five categories: digitizing sketching, augmenting sketching, recognizing sketches, supporting collaborative sketching, and capturing design intent.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},648482,1792876201,{"code":4,"msg":81,"data":82},"success",[83,87,91,95,100,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":92,"show_sort_weight":93,"slug":94},"Exam",70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":96,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":22,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":112},1374402968488,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Science Association & Genova University Press.  \nSKETCHING AND COMMUNICATING DESIGN  \nINTENT  \nAn analysis of technology  \nELIEL DE LA CRUZ and MARTIN TOMITSCH  \nThe University of Sydney, Australia  \n{eliel.delacruz, [martin.tomitsch}@sydney.edu.au](martin.tomitsch}@sydney.edu.au)  \nAbstract. The schematic design process and the communication of design intent present a good opportunity to integrate technological innovation. The changes in new technology and the imminent shift towards the ubiquitous computing era seem to be setting the direction for technology integration in the design research field. This paper presents an analysis of major variations, expansions, and tendencies in the field of design computing research over the last 50 years, focusing on the areas of computational support for sketching and design intent communication. A significant paradigm shift over the last 50 years introduced a variety of methods for performing sketch recognition and managing ambiguity; this shift moves away from the tendency to think of computers just as an “incompatible pencil”. This analysis subdivides the literature in relation to the aforementioned topic in 5 categories: 1) Digitizing sketching, 2) Augmenting sketching, 3) Recognizing sketches, 4) Supporting collaborative sketching, and 5) Capturing design intent. After carefully analysing the aforementioned literature, the paper presents a matrix defining a new taxonomy to classify the variables in some of the systems mentioned in the paper, as well as the trends that will continue to set the direction for technology integration in schematic design process research.  \nKeywords. Design Computing, Sketching, Digitizing, Augmented Design, Design Intent.  \n1. Introduction  \nSketching is not an activity exclusive to designers: people often use sketches for many different applications in their daily lives. In the architectural design process sketching is intertwined with different phases, but it is in the  \nschematic design phase where sketches are more often used as a means to visually represent ideas, concepts, and diagrams.  \nArnheim (1969) refers to drawing as a medium for visual thinking. For the designers sketching is not just a means to explore different ideas, it is also a conduit to think about solutions, problems, and many other spatial related tasks. Sketches provide the designer with a quick way to graphically represent ideas without having to commit to any specific concept as a final solusolution.  \nThe almost whimsical nature of sketches provides designers with a great level of affordance in how they express their ideas, however it is this same ambiguous nature that poses as one of the biggest hurdles that computational support needs to overcome (Ellis et al., 1969 ; Johnson et al., 2009) . Furthermore, if the sketches are being used to communicate design intent, they often need to rely on verbal or gestural explanations to decode the drawn concept (Cross, 2011) . The exception is when there is a direct implicit relationship between the drawn object and the sketch, in which case the interpretative semiotics may not be required.  \nAs it will be mentioned in the next few chapters, there have been numerous cases of excellent research and projects done in relation to computational support for sketching. Among all the worthy material the literature selected for this paper was identified for its affinity to the goal of computationally supporting design intent communication. However, all the existing and ongoing research further accentuates the question: Why is this technology not fully utilized in the industry practice today? Current technological shift towards ubiquitous computing will hopefully allow for a better integration between computational support for sketching and the designer’s task.  \n2. Schematic design sketching  \nTraditionally early in the design process, when the problem is still unclear and there is not a specific solution, sketching is the preferred method to bet","cbCaias52nwfnhMJ","https://ap.wps.com/l/cbCaias52nwfnhMJ","pdf",542102,12,"English","# 1. Introduction\n# 2. Schematic design sketching\n# 3. Design computing supporting schematic sketches","[{\"question\":\"What is the paper’s main focus regarding technology and design research?\",\"answer\":\"It analyzes how computational approaches support sketching and the communication of design intent, tracking major shifts over the last 50 years.\"},{\"question\":\"Why is ambiguity in sketches a key challenge for computational support?\",\"answer\":\"Sketches are inherently ambiguous, which makes it difficult for computers to interpret drawings; the paper highlights the need to overcome this hurdle.\"},{\"question\":\"How does the paper categorize research areas in computational sketching?\",\"answer\":\"It subdivides the literature into five categories: digitizing sketching, augmenting sketching, recognizing sketches, supporting collaborative sketching, and capturing design intent.\"}]","SKETCHING AND COMMUNICATING DESIGN INTENT - An analysis of technology | PDF",1792793687]