Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature Review
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Yang Shi | Nan Cao | Tian Gao | Xiaohan Jiao
[1] Baptiste Caramiaux,et al. "Explorers of Unknown Planets" , 2022, Proc. ACM Hum. Comput. Interact..
[2] Yang Shi,et al. ColorCook: Augmenting Color Design for Dashboarding with Domain-Associated Palettes , 2022, Proc. ACM Hum. Comput. Interact..
[3] Yang Shi,et al. Supporting Expressive and Faithful Pictorial Visualization Design with Visual Style Transfer , 2022, IEEE Transactions on Visualization and Computer Graphics.
[4] John Joon Young Chung,et al. Artist Support Networks: Implications for Future Creativity Support Tools , 2022, Conference on Designing Interactive Systems.
[5] J. Forlizzi,et al. How Experienced Designers of Enterprise Applications Engage AI as a Design Material , 2022, CHI.
[6] G. Fitzmaurice,et al. ”I don’t want to feel like I’m working in a 1960s factory”: The Practitioner Perspective on Creativity Support Tool Adoption , 2022, CHI.
[7] Yotam I. Gingold,et al. FlatMagic: Improving Flat Colorization through AI-driven Design for Digital Comic Professionals , 2022, CHI.
[8] N. Shadbolt,et al. Informing Age-Appropriate AI: Examining Principles and Practices of AI for Children , 2022, CHI.
[9] Nazli Cila. Designing Human-Agent Collaborations: Commitment, responsiveness, and support , 2022, CHI.
[10] Paweł W. Woźniak,et al. ‘It Is Not Always Discovery Time’: Four Pragmatic Approaches in Designing AI Systems , 2022, CHI.
[11] Toby Jia-Jun Li,et al. Bridging the Gap Between UX Practitioners’ Work Practices and AI-Enabled Design Support Tools , 2022, CHI Extended Abstracts.
[12] T. Graham,et al. Two Heads Are Better Than One: A Dimension Space for Unifying Human and Artificial Intelligence in Shared Control , 2022, CHI.
[13] Tae Soo Kim,et al. Stylette: Styling the Web with Natural Language , 2022, CHI.
[14] A. Hwang. Too Late to be Creative? AI-Empowered Tools in Creative Processes , 2022, CHI Extended Abstracts.
[15] Zhourong Chen,et al. Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis , 2022, CHI.
[16] Zhiwei Steven Wu,et al. Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support , 2022, CHI.
[17] Ee-Peng Lim,et al. Learning User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes , 2022, IUI.
[18] Jin L. C. Guo,et al. GANSpiration: Balancing Targeted and Serendipitous Inspiration in User Interface Design with Style-Based Generative Adversarial Network , 2022, CHI.
[19] Luis A. Leiva,et al. Learning GUI Completions with User-defined Constraints , 2022, ACM Trans. Interact. Intell. Syst..
[20] Yun Huang,et al. UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Library , 2022, CHI.
[21] Md. Kishor Morol,et al. Music Suggestions from Determining the Atmosphere of Images , 2021, 2021 24th International Conference on Computer and Information Technology (ICCIT).
[22] Michael Zbyszynski,et al. InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media , 2021, VRST.
[23] Carrie J. Cai,et al. AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts , 2021, CHI.
[24] Mayu Otani,et al. Constrained Graphic Layout Generation via Latent Optimization , 2021, ACM Multimedia.
[25] Wojciech Matusik,et al. Fusion 360 gallery , 2021, ACM Transactions on Graphics.
[26] Luis A. Leiva,et al. Conversations with GUIs , 2021, Conference on Designing Interactive Systems.
[27] Tiago Martins,et al. Exploring Automatic Fitness Evaluation for Evolutionary Typesetting , 2021, Creativity & Cognition.
[28] Kai-Lung Hua,et al. Neural Style Palette: A Multimodal and Interactive Style Transfer From a Single Style Image , 2021, IEEE Transactions on Multimedia.
[29] Nikolas Martelaro,et al. Learning Personal Style from Few Examples , 2021, Conference on Designing Interactive Systems.
[30] Niraj Ramesh Dayama,et al. Grid-based Genetic Operators for Graphical Layout Generation , 2021, Proc. ACM Hum. Comput. Interact..
[31] Rachel K. E. Bellamy,et al. Introduction to Explainable AI , 2021, CHI Extended Abstracts.
[32] Per Ola Kristensson,et al. Gesture Knitter: A Hand Gesture Design Tool for Head-Mounted Mixed Reality Applications , 2021, CHI.
[33] Patrick C. Shih,et al. FashionQ: An AI-Driven Creativity Support Tool for Facilitating Ideation in Fashion Design , 2021, CHI.
[34] Matthias Jarke,et al. UISketch: A Large-Scale Dataset of UI Element Sketches , 2021, CHI.
[35] Nan Cao,et al. Vinci: An Intelligent Graphic Design System for Generating Advertising Posters , 2021, CHI.
[36] Shin'ichi Satoh,et al. Continuous and Gradual Style Changes of Graphic Designs with Generative Model , 2021, IUI.
[37] Niraj Ramesh Dayama,et al. Interactive Layout Transfer , 2021, IUI.
[38] Ilya Sutskever,et al. Learning Transferable Visual Models From Natural Language Supervision , 2021, ICML.
[39] Magy Seif El-Nasr,et al. VINS: Visual Search for Mobile User Interface Design , 2021, CHI.
[40] Monash University,et al. GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks , 2021, 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE).
[41] Jichen Zhu,et al. Player-AI Interaction: What Neural Network Games Reveal About AI as Play , 2021, CHI.
[42] Jon E. Froehlich,et al. What Do We Mean by “Accessibility Research”?: A Literature Survey of Accessibility Papers in CHI and ASSETS from 1994 to 2019 , 2021, CHI.
[43] Mark O. Riedl,et al. Expanding Explainability: Towards Social Transparency in AI systems , 2021, CHI.
[44] Arne Berger,et al. Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry , 2021, CHI.
[45] Toby Jia-Jun Li,et al. Screen2Vec: Semantic Embedding of GUI Screens and GUI Components , 2021, CHI.
[46] Feng Tian,et al. “Brilliant AI Doctor” in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System Deployment , 2021, CHI.
[47] Vinoth Pandian Sermuga Pandian,et al. MetaMorph: AI Assistance to Transform Lo-Fi Sketches to Higher Fidelities , 2020, OZCHI.
[48] T. Grechenig,et al. SketchingInterfaces: A Tool for Automatically Generating High-Fidelity User Interface Mockups from Hand-Drawn Sketches , 2020, Australasian Computer-Human Interaction Conference.
[49] S. Hudson,et al. KnitGIST: A Programming Synthesis Toolkit for Generating Functional Machine-Knitting Textures , 2020, UIST.
[50] Wojciech Matusik,et al. Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction , 2020, ArXiv.
[51] Luis A. Leiva,et al. Understanding Visual Saliency in Mobile User Interfaces , 2020, MobileHCI.
[52] Karl D. D. Willis,et al. Fusion 360 gallery , 2020, ACM Trans. Graph..
[53] E. Mayo-Wilson,et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews , 2020, BMJ.
[54] Adrien Bousseau,et al. Sketch2CAD , 2020, ACM Trans. Graph..
[55] Florian Lachner,et al. Paper2Wire – A Case Study of User-Centred Development of Machine Learning Tools for UX Designers , 2020, MuC.
[56] Heiko Wersing,et al. Cooperative Intelligence - A Humane Perspective , 2020, 2020 IEEE International Conference on Human-Machine Systems (ICHMS).
[57] Aaron Hertzmann,et al. Predicting Visual Importance Across Graphic Design Types , 2020, UIST.
[58] Humphrey Yang,et al. SimuLearn: Fast and Accurate Simulator to Support Morphing Materials Design and Workflows , 2020, UIST.
[59] Satyam Dwivedi,et al. Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail , 2020, COMAD/CODS.
[60] Chenglei Yang,et al. Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning , 2020, KDD.
[61] Lining Yao,et al. Investigating Underdetermination Through Interactive Computational Handweaving , 2020, Conference on Designing Interactive Systems.
[62] Liming Zhu,et al. Wireframe-based UI Design Search through Image Autoencoder , 2020, ACM Trans. Softw. Eng. Methodol..
[63] Zheng Qin,et al. Learning to Select Elements for Graphic Design , 2020, ICMR.
[64] Andrés Lucero,et al. ImageSense: An Intelligent Collaborative Ideation Tool to Support Diverse Human-Computer Partnerships , 2020, Proc. ACM Hum. Comput. Interact..
[65] Zhouhui Lian,et al. Attribute2Font , 2020, ACM Trans. Graph..
[66] Issei Sato,et al. Sequential gallery for interactive visual design optimization , 2020, ACM Trans. Graph..
[67] Rynson W. H. Lau,et al. ICONATE: Automatic Compound Icon Generation and Ideation , 2020, CHI.
[68] Qian Yang,et al. Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design , 2020, CHI.
[69] Graham Dove,et al. Monsters, Metaphors, and Machine Learning , 2020, CHI.
[70] Nan Cao,et al. EmoG: Supporting the Sketching of Emotional Expressions for Storyboarding , 2020, CHI.
[71] Cheng Yao,et al. It Is Your Turn: Collaborative Ideation With a Co-Creative Robot through Sketch , 2020, CHI.
[72] Keiji Yanai,et al. Iconify: Converting Photographs into Icons , 2020, MMArt&ACM@ICMR.
[73] John Canny,et al. Scones: towards conversational authoring of sketches , 2020, IUI.
[74] Pegah Karimi,et al. Creative sketching partner: an analysis of human-AI co-creativity , 2020, IUI.
[75] Ashley Shew,et al. Ableism, Technoableism, and Future AI , 2020, IEEE Technology and Society Magazine.
[76] Lama Nachman,et al. Optimizing User Interface Layouts via Gradient Descent , 2020, CHI.
[77] Michael I. Jordan,et al. AUTO-ENCODING VARIATIONAL BAYES , 2020 .
[78] Karen Yeung,et al. Recommendation of the Council on Artificial Intelligence (OECD) , 2020, International Legal Materials.
[79] Zhenan Sun,et al. A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications , 2020, IEEE Transactions on Knowledge and Data Engineering.
[80] Shuai Yang,et al. Artistic Text Stylization for Visual-Textual Presentation Synthesis , 2019, MMAsia.
[81] Wei Li,et al. A review of design intelligence: progress, problems, and challenges , 2019, Frontiers of Information Technology & Electronic Engineering.
[82] Rui Tang,et al. Data-driven interior plan generation for residential buildings , 2019, ACM Trans. Graph..
[83] Dmitri Williams,et al. Racism, responsibility and autonomy in HCI: Testing perceptions of an AI agent , 2019, Comput. Hum. Behav..
[84] Sai-Keung Wong,et al. Adversarial Colorization of Icons Based on Contour and Color Conditions , 2019, ACM Multimedia.
[85] Parikshit Ram,et al. Human-AI Collaboration in Data Science , 2019, Proc. ACM Hum. Comput. Interact..
[86] Ana Tajadura-Jiménez,et al. As Light as Your Scent: Effects of Smell and Sound on Body Image Perception , 2019, INTERACT.
[87] A. Prince,et al. Proxy Discrimination in the Age of Artificial Intelligence and Big Data , 2019 .
[88] Rynson W. H. Lau,et al. Content-aware generative modeling of graphic design layouts , 2019, ACM Trans. Graph..
[89] Elisa Giaccardi,et al. Designing and Prototyping from the Perspective of AI in the Wild , 2019, Conference on Designing Interactive Systems.
[90] Lina Lee,et al. Relating Cognitive Models of Design Creativity to the Similarity of Sketches Generated by an AI Partner , 2019, Creativity & Cognition.
[91] Nicu Sebe,et al. Increasing Image Memorability with Neural Style Transfer , 2019, ACM Trans. Multim. Comput. Commun. Appl..
[92] Ross A. Knepper,et al. Implicit Communication of Actionable Information in Human-AI teams , 2019, CHI.
[93] Jeffrey Nichols,et al. Swire: Sketch-based User Interface Retrieval , 2019, CHI.
[94] Andrés Lucero,et al. May AI?: Design Ideation with Cooperative Contextual Bandits , 2019, CHI.
[95] Steven M. Drucker,et al. Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models , 2019, CHI.
[96] Paul N. Bennett,et al. Guidelines for Human-AI Interaction , 2019, CHI.
[97] John Zimmerman,et al. Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes , 2019, CHI.
[98] Michael Nitsche,et al. When is it not Craft?: Materiality and Mediation when Craft and Computing Meet , 2019, TEI.
[99] Balaji Vasan Srinivasan,et al. Exemplar based experience transfer , 2019, IUI.
[100] Yoichi Ochiai,et al. GANs-based Clothes Design: Pattern Maker Is All You Need to Design Clothing , 2019, AH.
[101] Thilo Hagendorff. The Ethics of AI Ethics: An Evaluation of Guidelines , 2019, Minds and Machines.
[102] Yang Li,et al. Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning , 2019, CHI.
[103] Bo Zhao,et al. EasyFont , 2018, ACM Trans. Graph..
[104] Jeffrey Heer. Agency plus automation: Designing artificial intelligence into interactive systems , 2019, Proceedings of the National Academy of Sciences.
[105] Yu Cheng,et al. Sequential Attention GAN for Interactive Image Editing , 2018, ACM Multimedia.
[106] Jeffrey V. Nickerson,et al. Autonomous tools and design , 2018, Commun. ACM.
[107] Thomas F. Liu,et al. Learning Design Semantics for Mobile Apps , 2018, UIST.
[108] Matthias Trapp,et al. MaeSTrO: A Mobile App for Style Transfer Orchestration Using Neural Networks , 2018, 2018 International Conference on Cyberworlds (CW).
[109] Jichen Zhu,et al. Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation , 2018, 2018 IEEE Conference on Computational Intelligence and Games (CIG).
[110] M. Roxburgh,et al. The Design of Stereotype and the Image , 2018 .
[111] Rynson W. H. Lau,et al. What characterizes personalities of graphic designs? , 2018, ACM Trans. Graph..
[112] John Zimmerman,et al. Investigating How Experienced UX Designers Effectively Work with Machine Learning , 2018, Conference on Designing Interactive Systems.
[113] Ying Li,et al. Computational Creative Advertisements , 2018, WWW.
[114] Tovi Grossman,et al. Dream Lens: Exploration and Visualization of Large-Scale Generative Design Datasets , 2018, CHI.
[115] Mohan S. Kankanhalli,et al. Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda , 2018, CHI.
[116] John Zimmerman,et al. Mapping Machine Learning Advances from HCI Research to Reveal Starting Places for Design Innovation , 2018, CHI.
[117] Bálint Daróczy,et al. And Now for Something Completely Different: Visual Novelty in an Online Network of Designers , 2018, WebSci.
[118] Yong-Jin Liu,et al. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[119] Leila Jemni Ben Ayed,et al. A tool support for the adaptation of user interfaces based on a business rules management system , 2017, OZCHI.
[120] Christian Wolf,et al. Interactive example-based terrain authoring with conditional generative adversarial networks , 2017, ACM Trans. Graph..
[121] J. In. Introduction of a pilot study , 2017, Korean journal of anesthesiology.
[122] Xian-Sheng Hua,et al. Layout Style Modeling for Automating Banner Design , 2017, ACM Multimedia.
[123] Jeffrey Nichols,et al. Rico: A Mobile App Dataset for Building Data-Driven Design Applications , 2017, UIST.
[124] Deborah E. White,et al. Thematic Analysis , 2017 .
[125] Yanxin Pan,et al. Deep Design: Product Aesthetics for Heterogeneous Markets , 2017, KDD.
[126] Frédo Durand,et al. Learning Visual Importance for Graphic Designs and Data Visualizations , 2017, UIST.
[127] Leonidas J. Guibas,et al. ComplementMe , 2017, ACM Trans. Graph..
[128] Michael Deininger,et al. Novice designers' use of prototypes in engineering design. , 2017, Design studies.
[129] Paulo Salem,et al. User Interface Optimization using Genetic Programming with an Application to Landing Pages , 2017, PACMHCI.
[130] Kang Zhang,et al. Computational Aesthetic Evaluation of Logos , 2017, ACM Trans. Appl. Percept..
[131] David J. Crandall,et al. A Deep Study into the History of Web Design , 2017, WebSci.
[132] Kim Halskov,et al. UX Design Innovation: Challenges for Working with Machine Learning as a Design Material , 2017, CHI.
[133] Yang Wang,et al. IdeaWall: Improving Creative Collaboration through Combinatorial Visual Stimuli , 2017, CSCW.
[134] Farhana H. Zulkernine,et al. ArchiGen: a conceptual form design tool using an evolutionary computing approach , 2016, CASCON.
[135] Ranjitha Kumar,et al. ERICA: Interaction Mining Mobile Apps , 2016, UIST.
[136] Hyeon-Jeong Suk,et al. Key Color Generation for Affective Multimedia Production: An Initial Method and Its Application , 2016, ACM Multimedia.
[137] Tiago Martins,et al. Evotype: From Shapes to Glyphs , 2016, GECCO.
[138] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[139] John Zimmerman,et al. Planning Adaptive Mobile Experiences When Wireframing , 2016, Conference on Designing Interactive Systems.
[140] Antti Oulasvirta,et al. Sketchplore: Sketch and Explore with a Layout Optimiser , 2016, Conference on Designing Interactive Systems.
[141] Jean Vanderdonckt,et al. Generative Patterns for Designing Multiple User Interfaces , 2016, 2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft).
[142] Antoni B. Chan,et al. Patternista: learning element style compatibility and spatial composition for ring-based layout decoration , 2016, Expressive.
[143] Xiang Zhang,et al. Data-driven Personas: Constructing Archetypal Users with Clickstreams and User Telemetry , 2016, CHI.
[144] Leila Takayama,et al. Help Me Please: Robot Politeness Strategies for Soliciting Help From Humans , 2016, CHI.
[145] Viswanath Venkatesh,et al. Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead , 2016, J. Assoc. Inf. Syst..
[146] Alex J. Champandard,et al. Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks , 2016, ArXiv.
[147] Levent Burak Kara,et al. Procedural Modeling Using Autoencoder Networks , 2015, UIST.
[148] Kavita Bala,et al. Learning visual similarity for product design with convolutional neural networks , 2015, ACM Trans. Graph..
[149] Michael I. Jordan,et al. Machine learning: Trends, perspectives, and prospects , 2015, Science.
[150] Thomas S. Huang,et al. DeepFont: Identify Your Font from An Image , 2015, ACM Multimedia.
[151] Aaron Hertzmann,et al. DesignScape: Design with Interactive Layout Suggestions , 2015, CHI.
[152] Aaron Hertzmann,et al. Collaborative filtering of color aesthetics , 2014, CAe@Expressive.
[153] Jan Kautz,et al. Learning a manifold of fonts , 2014, ACM Trans. Graph..
[154] Brian P. Bailey,et al. Voyant: generating structured feedback on visual designs using a crowd of non-experts , 2014, CSCW.
[155] Antti Oulasvirta,et al. MenuOptimizer: interactive optimization of menu systems , 2013, UIST.
[156] Chris Howe,et al. Card sort analysis best practices , 2013 .
[157] Scott R. Klemmer,et al. Webzeitgeist: design mining the web , 2013, CHI.
[158] Tua Björklund,et al. Initial mental representations of design problems: Differences between experts and novices , 2013 .
[159] Radomír Mech,et al. Learning design patterns with bayesian grammar induction , 2012, UIST.
[160] Alexander Maedche,et al. Exploring design principles of task elicitation systems for unrestricted natural language documents , 2012, EICS '12.
[161] Jeffrey Heer,et al. ReVision: automated classification, analysis and redesign of chart images , 2011, UIST.
[162] Chi-Keung Tang,et al. Make it home: automatic optimization of furniture arrangement , 2011, ACM Trans. Graph..
[163] Maneesh Agrawala,et al. Interactive furniture layout using interior design guidelines , 2011, ACM Trans. Graph..
[164] Yizhou Yu,et al. Data-driven image color theme enhancement , 2010, ACM Trans. Graph..
[165] J. Rutherford. Technology Adoption , 2010, IEEE Pulse.
[166] Merlijn Kouprie,et al. A framework for empathy in design: stepping into and out of the user's life , 2009 .
[167] Robert Schleicher,et al. Measurements and Concepts of Usability and User Experience: Differences between Industry and Academia , 2009, HCI.
[168] Brian P. Bailey,et al. Getting inspired!: understanding how and why examples are used in creative design practice , 2009, CHI.
[169] Edwin Lughofer,et al. Modeling human aesthetic perception of visual textures , 2008, ACM Trans. Appl. Percept..
[170] Martin Schrepp,et al. Construction and Evaluation of a User Experience Questionnaire , 2008, USAB.
[171] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[172] Victor Ciesielski,et al. Evolving images for entertainment , 2007, IE '07.
[173] J. Hedberg,et al. Book Reviews , 2007 .
[174] P. Breslin,et al. Taste after-images: the science of “water-tastes” , 2007, Cellular and Molecular Life Sciences.
[175] Fernando Ferri,et al. Multimodal interaction systems: information and time features , 2007, Int. J. Web Grid Serv..
[176] Bryan Lawson,et al. How designers perceive sketches , 2006 .
[177] Ben Shneiderman,et al. Creativity Support Tools: Report From a U.S. National Science Foundation Sponsored Workshop , 2006, Int. J. Hum. Comput. Interact..
[178] Todd Lubart,et al. How can computers be partners in the creative process: Classification and commentary on the Special Issue , 2005, Int. J. Hum. Comput. Stud..
[179] N. McNamara,et al. Defining usability: quality of use or quality of experience? , 2005, IPCC 2005. Proceedings. International Professional Communication Conference, 2005..
[180] Linden J. Ball,et al. Spontaneous analogising in engineering design: a comparative analysis of experts and novices , 2004 .
[181] Lucienne Blessing,et al. Understanding the differences between how novice and experienced designers approach design tasks , 2003 .
[182] Vincent R. Brown,et al. Making Group Brainstorming More Effective: Recommendations From an Associative Memory Perspective , 2002 .
[183] Nigel Cross,et al. Creativity in the design process: co-evolution of problem–solution , 2001 .
[184] Anneli Eteläpelto. Contextual and strategic knowledge in the acquisition of design expertise , 2000 .
[185] Eric Horvitz,et al. Principles of mixed-initiative user interfaces , 1999, CHI '99.
[186] Ephraim P. Glinert,et al. Multimodal Interaction , 1996, IEEE Multim..
[187] Donald A. Norman,et al. How might people interact with agents , 1994, CACM.
[188] N. Cross. The Nature and Nurture of Design Ability , 1990 .
[189] N. Kano,et al. Attractive Quality and Must-Be Quality , 1984 .
[190] Mr. D Murahari,et al. DALL-E: CREATING IMAGES FROM TEXT , 2021 .
[191] Research into Design for a Connected World , 2019, Smart Innovation, Systems and Technologies.
[192] Anirban Chowdhury,et al. Design and Development of a Stencil for Mobile User Interface (UI) Design , 2019, Smart Innovation, Systems and Technologies.
[193] Lena Hegemann. Design Ideation with Cooperative Contextual Bandits , 2019 .
[194] Peter H. Jones. Contexts of Co-creation: Designing with System Stakeholders , 2018 .
[195] Jinsung Yoon,et al. GENERATIVE ADVERSARIAL NETS , 2018 .
[196] Jan P. Allebach,et al. Colors -- Messengers of Concepts: Visual Design Mining for Learning Color Semantics , 2015, ArXiv.
[197] T. Lubart,et al. Creative Processes: Art, Design and Science , 2016 .
[198] N. Cross. The Expertise of Exceptional Designers , 2003 .
[199] H. J. Eysenck,et al. Creativity, personality and the convergent-divergent continuum. , 2003 .
[200] Chun-Heng Ho,et al. Some phenomena of problem decomposition strategy for design thinking: differences between novices and experts , 2001 .
[201] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[202] Crhistian Michael Ramos Lopez,et al. Ergonomic requirements for office work with visual display terminals (VDTs) — , 1998 .
[203] Janet Mancini Billson,et al. Focus Groups: A Practical Guide for Applied Research , 1989 .