When and How to Use AI in the Design Process? Implications for Human-AI Design Collaboration

The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration

Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00136 · Cited by 10,349 · see citing works

The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations

Hutton, B., Salanti, G., Caldwell, D. M., Chaimani, A., Schmid, C. H., Cameron, C., Ioannidis, J. P. A., Straus, S., Thorlund, K., Jansen, J. P., et al. (2015) · Annals of Internal Medicine · doi:10.7326/m14-2385 · Cited by 8,269 · see citing works

Wicked Problems in Design Thinking

Buchanan, R. (1992) · Design Issues · doi:10.2307/1511637 · Cited by 3,539 · cited 1× · see citing works

Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies: The PRISMA-DTA Statement

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Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Mark, G., Fussell, S. R., Lampe, C., Schraefel, M., Hourcade, J., Appert, C., & Wigdor, D. J. (2017) · International Conference on Human Factors in Computing Systems · doi:10.1145/3025453 · Cited by 2,222 · see citing works

Preferred Reporting Items for a Systematic Review and Meta-analysis of Individual Participant Data: The PRISMA-IPD Statement

Stewart, L. A., Clarke, M., Rovers, M., Riley, R. D., Simmonds, M., Stewart, G., & Tierney, J. F. (2015) · JAMA · doi:10.1001/jama.2015.3656 · Cited by 2,134 · see citing works

The psychology of everyday things

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Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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The core of ‘design thinking’ and its application

Dorst, K. (2011) · Design Studies · doi:10.1016/j.destud.2011.07.006 · Cited by 1,897 · see citing works

PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews

Page, M. J., Moher, D., Bossuyt, P., Boutron, I., Hoffmann, T., mulrow, C., Shamseer, L., Tetzlaff, J., Akl, E., Brennan, S. E., et al. (2020) · doi:10.31222/osf.io/gwdhk · Cited by 916 · see citing works

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Cockton, G., & Korhonen, P. (2003) · doi:10.1145/642611 · Cited by 911 · see citing works

Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

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Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

(2023) · doi:10.1145/3544548 · Cited by 735 · see citing works

Describing the creative design process by the integration of engineering design and cognitive psychology literature

Howard, T. J., Culley, S. J., & Dekoninck, E. A. (2008) · Design Studies · doi:10.1016/j.destud.2008.01.001 · Cited by 734 · see citing works

Designing as reflective conversation with the materials of a design situation

Schön, D. A. (1992) · Knowledge-Based Systems · doi:10.1016/0950-7051(92)90020-g · Cited by 697 · see citing works

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

Yang, Q., Steinfeld, A., Rosé, C., & Zimmerman, J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376301 · Cited by 622 · cited 2× · see citing works

Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems

Thieme, A., Belgrave, D., & Doherty, G. (2020) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3398069 · Cited by 406 · see citing works

Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry

Köbis, N., & Mossink, L. D. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106553 · Cited by 406 · see citing works

The role of ChatGPT in data science: How AI-assisted conversational interfaces are revolutionizing the field

Hassani, H., & Silva, E. S. (2023) · Big Data and Cognitive Computing · doi:10.3390/bdcc7020062 · Cited by 401 · see citing works

All the News That’s Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation

Kreps, S., McCain, R. M., & Brundage, M. (2022) · Journal of Experimental Political Science · doi:10.1017/xps.2020.37 · Cited by 360 · see citing works

Human heuristics for AI-generated language are flawed

Jakesch, M., Hancock, J. T., & Naaman, M. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2208839120 · Cited by 342 · see citing works

CHI Conference on Human Factors in Computing Systems

Barbosa, S. D. J., Lampe, C. A. C., Appert, C., Shamma, D. A., Drucker, S. M., Williamson, J., & Yatani, K. (2022) · doi:10.1145/3491102 · Cited by 309 · see citing works

All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text

Clark, E., August, T., Serrano, S., Haduong, N., Gururangan, S., & Smith, N. A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · doi:10.18653/v1/2021.acl-long.565 · Cited by 290 · see citing works

All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text

Clark, E., August, T., Serrano, S., Haduong, N., Gururangan, S., & Smith, N. A. (2021) · arXiv · doi:10.48550/arxiv.2107.00061 · Cited by 290

Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Kitamura, Y., Kitamura, Y., Quigley, A., Isbister, K., Igarashi, T., Japan, C. '. C. C. O. H. F. I. C. S. 2. Y., Association for Computing Machinery-Digital Library, ACM Special Interest Group on Computer-Human Interaction, & SIGs, A. (2021) · doi:10.1145/3411763 · Cited by 245 · see citing works

The Sandbox for analysis

Wright, W., Schroh, D., Proulx, P., Skaburskis, A. W., & Cort, B. (2006) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1124772.1124890 · Cited by 214 · see citing works

How Algorithms Discriminate Based on Data They Lack: Challenges, Solutions, and Policy Implications

Williams, B. A., Brooks, C., & Shmargad, Y. (2018) · Journal of Information Policy · doi:10.5325/jinfopoli.8.2018.0078 · Cited by 203 · see citing works

Crowdfunding support tools

Greenberg, M. D., Pardo, B., Hariharan, K., & Gerber, E. M. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2468682 · Cited by 196 · see citing works

Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

(2024) · doi:10.1145/3613905 · Cited by 192 · see citing works

Fixation or inspiration? A meta-analytic review of the role of examples on design processes

Sio, U. N., Kotovsky, K., & Cagan, J. (2015) · Design Studies · doi:10.1016/j.destud.2015.04.004 · Cited by 191 · see citing works

Designing with interactive example galleries

Lee, B., Srivastava, S., Kumar, R., Brafman, R., & Klemmer, S. R. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753667 · Cited by 178 · cited 2× · see citing works

Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems

Barbosa, S., Barbosa, S., Lampe, C., Appert, C., Shamma, D. A., USA, C. '. C. C. O. H. F. I. C. S. 2. N. O. L., Association for Computing Machinery-Digital Library, ACM Special Interest Group on Computer-Human Interaction, & SIGs, A. (2022) · doi:10.1145/3491101 · Cited by 172 · see citing works

CHI '12 Extended Abstracts on Human Factors in Computing Systems

(2012) · doi:10.1145/2212776 · Cited by 168 · see citing works

Bricolage

Kumar, R., Talton, J. O., Ahmad, S., & Klemmer, S. (2011) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979262 · Cited by 152 · see citing works

Friend, Collaborator, Student, Manager

Guzdial, M., Liao, N., Chen, J., Chen, S.-Y., Shah, S., Shah, V., Reno, J. O., Smith, G., & Riedl, M. O. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300854 · Cited by 134 · see citing works

MAGIC

Ashbrook, D., & Starner, T. E. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753653 · Cited by 133 · see citing works

Mapping Machine Learning Advances from HCI Research to Reveal Starting Places for Design Innovation

Yang, Q., Banović, N., & Zimmerman, J. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173704 · Cited by 130 · see citing works

A cautionary tale about the impact of AI on human design teams

Zhang, G., Raina, A., Cagan, J., & McComb, C. (2021) · Design Studies · doi:10.1016/j.destud.2021.100990 · Cited by 127 · see citing works

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions

Wang, Y., Shen, S., & Lim, B. Y. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581402 · Cited by 120 · see citing works

Data-driven Personas

Zhang, X., Brown, H.-F., & Shankar, A. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858523 · Cited by 119 · see citing works

The Prompt Artists

Chang, M., Druga, S., Fiannaca, A. J., Vergani, P., Kulkarni, C. E., Cai, C. J., & Terry, M. A. (2023) · Creativity and Cognition · doi:10.1145/3591196.3593515 · Cited by 112 · see citing works

Too Late to be Creative? AI-Empowered Tools in Creative Processes

Hwang, A. H.-C. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts · doi:10.1145/3491101.3503549 · Cited by 103 · see citing works

Applying design methodology to software development

Löwgren, J. (1995) · Designing Interactive Systems Conference · doi:10.1145/225434.225444 · Cited by 100 · see citing works

AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models

Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., Nickerson, J. V., & Chilton, L. B. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580907 · Cited by 98 · see citing works

A 3D shape generative method for aesthetic product design

Alcaide-Marzal, J., Diego-Más, J. A., & Zazueta, G. A. (2019) · Design Studies · doi:10.1016/j.destud.2019.11.003 · Cited by 96 · see citing works

DesignAID: Using Generative AI and Semantic Diversity for Design Inspiration

Cai, A., Rick, S., Heyman, J. L., Zhang, Y., Filipowicz, A. L. S., Hong, M. K., Klenk, M., & Malone, T. W. (2023) · ACM Collective Intelligence Conference (CI) · doi:10.1145/3582269.3615596 · Cited by 92 · see citing works

The Persona Lifecycle

(2006) · Elsevier eBooks · doi:10.1016/b978-0-12-566251-2.x5000-x · Cited by 91 · see citing works

Vinci: An Intelligent Graphic Design System for Generating Advertising Posters

Guo, S., Jin, Z., Sun, F., Li, J., Li, Z., Shi, Y., & Cao, N. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445117 · Cited by 88 · see citing works

Statistical profiles of highly-rated web sites

Ivory, M. Y., & Hearst, M. A. (2002) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/503376.503442 · Cited by 87 · see citing works

Design Team Convergence: The Influence of Example Solution Quality

Fu, K. K., Cagan, J., & Kotovsky, K. (2010) · Journal of Mechanical Design · doi:10.1115/1.4002202 · Cited by 84 · see citing works

Collaborative Diffusion: Boosting Designerly Co-Creation with Generative AI

Verheijden, M. P., & Funk, M. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544549.3585680 · Cited by 83 · see citing works

A design tool for camera-based interaction

Fails, J. A., & Olsen, D. R. (2003) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/642611.642690 · Cited by 80 · see citing works

Quality in research through design projects: Recommendations for evaluation and enhancement

Prochner, I., & Godin, D. (2021) · Design Studies · doi:10.1016/j.destud.2021.101061 · Cited by 77 · see citing works

GRIDS: Interactive Layout Design with Integer Programming

Dayama, N. R., Todi, K., Saarelainen, T., & Oulasvirta, A. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376553 · Cited by 74 · see citing works

Cody: An AI-Based System to Semi-Automate Coding for Qualitative Research

Rietz, T., & Maedche, A. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445591 · Cited by 71 · see citing works

How Experienced Designers of Enterprise Applications Engage AI as a Design Material

Yildirim, N., Kass, A., Tung, T., Upton, C., Costello, D., Giusti, R., Lacin, S., Lovic, S., O'Neill, J. M., Meehan, R. O., et al. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517491 · Cited by 71 · see citing works

SemanticCollage

Koch, J., Taffin, N., Lucero, A., & Mackay, W. E. (2020) · Designing Interactive Systems Conference · doi:10.1145/3357236.3395494 · Cited by 65 · see citing works

Knowledge-based evaluation as design support for graphical user interfaces

Löwgren, J., & Nordqvist, T. (1992) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/142750.142786 · Cited by 63 · see citing works

Computational Human-Robot Interaction

Thomaz, A. L., Hoffman, G., & Çakmak, M. (2016) · now publishers, Inc. eBooks · doi:10.1561/9781680832099 · Cited by 63 · see citing works

Self‐efficacy and callousness in consumer judgments of AI‐enabled checkouts

van Esch, P., Cui, Y. G., & Jain, S. P. (2021) · Psychology and Marketing · doi:10.1002/mar.21494 · Cited by 63 · see citing works

Critique Style Guide

Krause, M., Garncarz, T., Song, J., Gerber, E. M., Bailey, B. P., & Dow, S. P. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025883 · Cited by 60 · see citing works

Finding the Needle in a Haystack: On the Automatic Identification of Accessibility User Reviews

AlOmar, E. A., Aljedaani, W., Tamjeed, M., Mkaouer, M. W., & Elglaly, Y. N. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445281 · Cited by 60 · see citing works

Semi-Automated Coding for Qualitative Research

Marathe, M., & Toyama, K. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173922 · Cited by 59 · see citing works

Decoding the agility of artificial intelligence-assisted human design teams

Song, B., Gyory, J. T., Zhang, G., Soria Zurita, N. F., Stump, G., Martin, J., Miller, S., Balon, C., Yukish, M., McComb, C., et al. (2022) · Design Studies · doi:10.1016/j.destud.2022.101094 · Cited by 59 · see citing works

Rewire

Swearngin, A., Dontcheva, M., Li, W., Brandt, J., Dixon, M., & Ko, A. J. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174078 · Cited by 56 · see citing works

Persona Transparency: Analyzing the Impact of Explanations on Perceptions of Data-Driven Personas

Salminen, J. O., Santos, J. M., Jung, S., Eslami, M., & Jansen, B. J. J. (2019) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2019.1688946 · Cited by 55 · see citing works

Culture and HCI: a review of recent cultural studies in HCI and social networks

Kyriakoullis, L., & Zaphiris, P. (2015) · Universal Access in the Information Society · doi:10.1007/s10209-015-0445-9 · Cited by 53 · see citing works

FlatMagic: Improving Flat Colorization through AI-driven Design for Digital Comic Professionals

Yan, C., Chung, J. J. Y., Kiheon, Y., Gingold, Y. I., Adar, E., & Hong, S.-S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502075 · Cited by 51 · see citing works

Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People

Katan, S., Grierson, M., & Fiebrink, R. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702474 · Cited by 50 · see citing works

EmoG: Supporting the Sketching of Emotional Expressions for Storyboarding

Shi, Y., Cao, N., Ma, X., Chen, S., & Liu, P. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376520 · Cited by 49 · see citing works

ICONATE: Automatic Compound Icon Generation and Ideation

Zhao, N., Kim, N. W., Herman, L. M., Pfister, H., Lau, R. W. H., Echevarria, J., & Bylinskii, Z. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376618 · Cited by 48 · see citing works

Design performance and designer preference in an interactive, data-driven conceptual building design scenario

Brown, N. C. (2020) · Design Studies · doi:10.1016/j.destud.2020.01.001 · Cited by 45 · see citing works

Intelligent support for communication in design teams: garment shape specifications in the knitwear industry

Eckert, C. M., Cross, N., & Johnson, J. (2000) · Design Studies · doi:10.1016/s0142-694x(99)00006-x · Cited by 44 · see citing works

Creating Persona Skeletons from Imbalanced Datasets - A Case Study using U.S. Older Adults' Health Data

Zhu, H., Wang, H., & Carroll, J. M. (2019) · Designing Interactive Systems Conference · doi:10.1145/3322276.3322285 · Cited by 42 · see citing works

Facing the Future: Evolutionary Possibilities for Human-Machine Creativity

McCormack, J. (2007) · Natural computing series · doi:10.1007/978-3-540-72877-1_19 · Cited by 41 · see citing works

Enabling Hand-Crafted Visual Markers at Scale

Preston, W., Benford, S., Thorn, E. L., Koleva, B. N., Rennick‐Egglestone, S., Mortier, R., Quinn, A., Stell, J. G., & Worboys, M. (2017) · Designing Interactive Systems Conference · doi:10.1145/3064663.3064746 · Cited by 40 · see citing works

Analogy Mining for Specific Design Needs

Gilon, K., Chan, J., Ng, F., Lifshitz‐Assaf, H., Kittur, A., & Shahaf, D. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173695 · Cited by 39 · see citing works

Gesture Knitter: A Hand Gesture Design Tool for Head-Mounted Mixed Reality Applications

Mo, G. B., Dudley, J. J., & Kristensson, P. O. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445766 · Cited by 39 · see citing works

Design Breakdowns

Maudet, N., Leiva, G., Beaudouin-Lafon, M., & Mackay, W. E. (2017) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2998181.2998190 · Cited by 39 · see citing works

Creative Segment: A descriptive theory applied to computer-aided sketching

Sun, L., Xiang, W., Chai, C., Wang, C., & Huang, Q. (2013) · Design Studies · doi:10.1016/j.destud.2013.10.003 · Cited by 38 · see citing works

Design Heuristics for Artificial Intelligence: Inspirational Design Stimuli for Supporting UX Designers in Generating AI-Powered Ideas

Jin, X., Evans, M., Dong, H., & Yao, A. (2021) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3411763.3451727 · Cited by 37 · see citing works

Eve

Suleri, S., Pandian, V. P. S., Shishkovets, S., & Jarke, M. (2019) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3290607.3312994 · Cited by 37 · see citing works

Decipher: An Interactive Visualization Tool for Interpreting Unstructured Design Feedback from Multiple Providers

Yen, Y.-C., Kim, J. O., & Bailey, B. P. (2020) · International Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376380 · Cited by 36 · see citing works

GenFloor: Interactive generative space layout system via encoded tree graphs

Keshavarzi, M., & Rahmani, A. M. (2021) · Frontiers of Architectural Research · doi:10.1016/j.foar.2021.07.003 · Cited by 34 · see citing works

Designing the Future of Personal Fashion

Vaccaro, K., Agarwalla, T., Shivakumar, S., & Kumar, R. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174201 · Cited by 33 · see citing works

Comparing Different Sensemaking Approaches for Large-Scale Ideation

Chan, J., Dang, S., & Dow, S. P. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858178 · Cited by 31 · see citing works

Companion Publication of the 2021 ACM Designing Interactive Systems Conference

(2021) · doi:10.1145/3468002 · Cited by 31 · see citing works

Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations

Bae, S. L., Kwon, O.-H., Chandrasegaran, S. K., & Ma, K. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376746 · Cited by 30 · see citing works

Compositional design of a generic design agent

Brazier, F. M. T., Jonker, C. M., Jan Treur, A., & Wijngaards, N. J. E. (2001) · Design Studies · doi:10.1016/s0142-694x(00)00044-2 · Cited by 30 · see citing works

Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

(2023) · doi:10.1145/3586182 · Cited by 28 · see citing works

Analyzing Demographic Bias in Artificially Generated Facial Pictures

Salminen, J. O., Jung, S., Chowdhury, S. A., & Jansen, B. J. J. (2020) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3382791 · Cited by 27 · see citing works

AutoCardSorter

Katsanos, C., Tselios, N. K., & Avouris, N. M. (2008) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357192 · Cited by 25 · see citing works

Negotiating the Creative Space in Human-Robot Collaborative Design

Law, M. V., Jeong, J., Kwatra, A., Jung, M. F., & Hoffman, G. (2019) · Designing Interactive Systems Conference · doi:10.1145/3322276.3322343 · Cited by 24 · see citing works

Computational Layout Perception using Gestalt Laws

Koch, J., & Oulasvirta, A. (2016) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2851581.2892537 · Cited by 22 · see citing works

Artificial Playfulness

Stahlke, S., Nova, A., & Mirza-Babaei, P. (2019) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3290607.3313039 · Cited by 20 · see citing works

Free-sketch recognition

Hammond, T., Eoff, B. D., Paulson, B., Wolin, A., Dahmen, K., Johnston, J. D., & Rajan, P. (2008) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1358628.1358802 · Cited by 20 · see citing works

Embodying an Interactive AI for Dance Through Movement Ideation

Wallace, B., Hilton, C., Nymoen, K., Tørresen, J., Martin, C. P., & Fiebrink, R. A. (2023) · Creativity and Cognition · doi:10.1145/3591196.3593336 · Cited by 19 · see citing works

Sand-in-the-loop: Investigating embodied co-creation for shared understandings of generative AI

El-Zanfaly, D., Huang, Y., & Dong, Y. (2023) · Designing Interactive Systems Conference · doi:10.1145/3563703.3596652 · Cited by 19 · see citing works

Concept of Interactive Machine Learning in Urban Design Problems

Chirkin, A. M., & König, R. (2016) · Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX · doi:10.1145/2898365.2899795 · Cited by 18 · see citing works

A Unified Framework for Knowledge Assessment and Progression Analysis and Design

Wang, S., He, F., & Andersen, E. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025841 · Cited by 16 · see citing works

Co-notate

Rasmussen, S., Falk, J., & Halskov, K. (2019) · Designing Interactive Systems Conference · doi:10.1145/3322276.3322310 · Cited by 16 · see citing works

Human guided evolution of XUL user interfaces

Quiroz, J. C., Dascalu, S. M., & Louis, S. J. (2007) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1240866.1241052 · Cited by 15 · see citing works

Scenario of an integrated design support for architects

Schmidt-Belz, B., & Hovestadt, L. (1996) · Design Studies · doi:10.1016/s0142-694x(96)00022-1 · Cited by 15 · see citing works

Tracking Dynamics between Digital Design Agencies and Clients of Hybrid Outsourcing in the Double Diamond Website Development Process

Kim, Y. (2020) · Archives of Design Research · doi:10.15187/adr.2020.02.33.1.17 · Cited by 14 · see citing works

Proceedings of the ACM Collective Intelligence Conference

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SmartManikin

Lee, B., Jin, T., Lee, S., & Saakes, D. P. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300814 · Cited by 13 · see citing works

Multi-strategy workspace navigation for design education

Boulanger, S., & Smith, I. F. C. (2001) · Design Studies · doi:10.1016/s0142-694x(00)00002-8 · Cited by 13 · see citing works

Learning Embodied Sound-Motion Mappings: Evaluating AI-Generated Dance Improvisation

Wallace, B., Martin, C. P., Tørresen, J., & Nymoen, K. (2021) · Creativity and Cognition · doi:10.1145/3450741.3465245 · Cited by 13 · see citing works

Creativity and Cognition

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Bot Personas as Off-The-Shelf Users

Vandenberghe, B. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3052767 · Cited by 12 · see citing works

Conversations with GUIs

Todi, K., Leiva, L. A., Buschek, D., Tian, P., & Oulasvirta, A. (2021) · Designing Interactive Systems Conference · doi:10.1145/3461778.3462124 · Cited by 12 · see citing works

The role of artificial intelligence as `text' within design

Rodgers, P. A., & Huxor, A. P. (1998) · Design Studies · doi:10.1016/s0142-694x(97)00032-x · Cited by 12 · see citing works

Architecting Novel Interactions with Generative AI Models

Bernstein, M. S., Park, J.-S., Morris, M. R., Amershi, S., Chilton, L. B., & Gordon, M. (2023) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3586182.3617431 · Cited by 12 · see citing works

DeepScope: HCI Platform for Generative Cityscape Visualization

Noyman, A., & Larson, K. (2020) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3382809 · Cited by 10 · see citing works

Tessera: Discretizing Data Analysis Workflows on a Task Level

Yan, J. N., Gu, Z., & Rzeszotarski, J. M. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445728 · Cited by 10 · see citing works

De-Mo

Bevilacqua, F. P., Schnell, N., Rasamimanana, N. H., Bloit, J., Fléty, E., Caramiaux, B., Françoise, J., & Boyer, E. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2479571 · Cited by 9 · see citing works

Evaluating machine creativity

Jordanous, A. (2009) · ACM Conference on Creativity and Cognition (C&C) · doi:10.1145/1640233.1640285 · Cited by 7 · see citing works

Escape!Bot

Devasia, N., Ali, S., & Breazeal, C. (2020) · Annual Symposium on Computer-Human Interaction in Play · doi:10.1145/3383668.3419895 · Cited by 7 · see citing works

GaussBox

Françoise, J., Bevilacqua, F. P., & Schiphorst, T. (2016) · doi:10.1145/2851581.2890257 · Cited by 6 · see citing works

Accounting for the human when designing with AI : challenges identified

Stembert, N., & Harbers, M. (2019) · Data Archiving and Networked Services (DANS) · doi:10.1145/3290607 · Cited by 6 · see citing works

Learning Personal Style from Few Examples

Lin, D. C.-E., & Martelaro, N. (2021) · Designing Interactive Systems Conference · doi:10.1145/3461778.3462115 · Cited by 6 · see citing works

Design Collaboration Mode of Man–Computer Symbiosis in the Age of Intelligence

Liu, J., & Nah, K. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-39512-4_99 · Cited by 6 · see citing works

Outfit Completion and Clothes Recommendation

Prato, G., Sallemi, F., Cremonesi, P., Scriminaci, M., Gudmundsson, S. F., & Palumbo, S. (2020) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3383076 · Cited by 6 · see citing works

Toward Co-Creative Tools for Tactical Urban Revitalization

Cooney, S. (2021) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3411763.3443426 · Cited by 5 · see citing works

A construction-led design process for tubular trusses

Tizani, W., Davies, G., & McCarthy, T. J. (1994) · Design Studies · doi:10.1016/0142-694x(94)90012-4 · Cited by 4 · see citing works

ArchiGuesser – Teaching Architecture Styles using Generative AI

Berger, M., & Ploennigs, J. (2023) · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · doi:10.1145/3600100.3626262 · Cited by 3 · see citing works

Breaking down brick walls

Villalon, R., Lieberman, H. A., & Sass, L. (2009) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1520340.1520650 · Cited by 2 · see citing works

The design of user interfaces for intelligent layout generation systems

Chinowsky, P. S., & Teicholz, P. M. (1993) · Design Studies · doi:10.1016/0142-694x(93)80023-6 · Cited by 2 · see citing works

Generative artificial intelligence in tourism management: An integrative review and roadmap for future research

Li, H., Xi, J., Hsu, C. H. C., Yu, B. X. B., & Zheng, X. (2025) · Tourism Management · doi:10.1016/j.tourman.2025.105179 · Cited by 87 · see citing works

How generative AI supports human in conceptual design

Chen, L., Song, Y., Jia, G., Sun, L., Childs, P., & Yin, Y. (2025) · Design Science · doi:10.1017/dsj.2025.2 · Cited by 68 · see citing works

Exploring Collaboration Patterns and Strategies in Human-AI Co-creation through the Lens of Agency: A Scoping Review of the Top-tier HCI Literature

Zhang, S., Wang, H., & Yi, X. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757594 · Cited by 36 · see citing works

Designing Co-Creative Systems: Five Paradoxes in Human–AI Collaboration

Salma, Z., Hijón‐Neira, R., & Pizarro, C. (2025) · Information · doi:10.3390/info16100909 · Cited by 37 · see citing works

Generative AI approaches for architectural design automation

Khan, A., Chang, S., & Chang, H. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106506 · Cited by 30 · see citing works

Designing With AI: A Systematic Literature Review on the Use, Development, and Perception of AI‐Enabled UX Design Tools

Luo, Y. (2025) · Advances in Human-Computer Interaction · doi:10.1155/ahci/3869207 · Cited by 25 · see citing works

The study of human-AI Co-creation design under generative artificial intelligence: cognition, process, method, and outcome

Chen, G., Yu, Z., Xie, Y., Liu, Z., & Yu, C. (2025) · Journal of Engineering Design · doi:10.1080/09544828.2025.2567155 · Cited by 17 · see citing works

Explore the Fashion Industry’s Behavioral Intention to Use Artificial Intelligence Generated Content Tools Based on the UTAUT Model

Li, X., Shen, L., & Ren, X. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2432759 · Cited by 14 · see citing works

A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI

Amalfitano, D., Metzger, A., Autili, M., Fulcini, T., Hey, T., Keim, J., Pelliccione, P., Scotti, V., Koziolek, A., Mirandola, R., et al. (2026) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3788879 · Cited by 17 · see citing works

EEG assessment of artificial intelligence-generated content impact on student creative performance and neurophysiological states in product design

Wang, S., Tao, X., Ma, H., Li, F. F., & Wu, C. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1508383 · Cited by 13 · see citing works

Designer-consumer similarity matters: The effect of AI-designed products on purchase intention

Yang, Z., & Tian, A. D. (2025) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2025.104680 · Cited by 11 · see citing works

Unlocking the potential: hybrid blockchain and AI-enabled traceability model development and implementation in the dairy industry – proof-of-concept

Malik, M., Mor, R. S., Gahlawat, V. K., & Kumar, V. (2025) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2025.104552 · Cited by 10 · see citing works

GenColor: Generative Color-Concept Association in Visual Design

Hou, Y., Zeng, X., Wang, Y., Yang, M., Chen, X., & Zeng, W. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713418 · Cited by 10 · see citing works

The Changing Nature of Human-AI Relations: A Scoping Review on Terminology and Evolvement in the Scientific Literature

Breckner, K., Neumayr, T., Mara, M., Streit, M., & Augstein, M. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2482742 · Cited by 12 · see citing works

A Comparative Study on the Influence of Artificial Intelligence ( AI ) on Student Creativity, Learning Outcomes and Attitudes in Product Design Education ( PDE )

Lu, W., Lalli, G. S., & Jiang, G. (2025) · European Journal of Education · doi:10.1111/ejed.70233 · Cited by 7 · see citing works

Reimagining human creativity and learning in the age of generative AI: A multi-method meta-thematic synthesis

Zafar, M. B., Ali, H., & Yasin, T. (2025) · Next research. · doi:10.1016/j.nexres.2025.100802 · Cited by 7 · see citing works

Reimagining luxury fashion through AI-driven design

Jin, Y. Z., Li, J. H., Lee, G., & Baek, T. H. (2025) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-04-2025-0606 · Cited by 6 · see citing works

Study of the Design Optimization of an AIGC Ordering Interface Under the Dual Paths of User Demand Mapping and Conflict Resolution

Huang, Z., Song, H., & Hong, X. (2025) · Applied Sciences · doi:10.3390/app15147674 · Cited by 6 · see citing works

Impacts of AI on Human Designers: A Systematic Literature Review

Sinlapanuntakul, P., & Zachry, M. R. (2025) · IEEE Transactions on Professional Communication · doi:10.1109/tpc.2025.3588655 · Cited by 6 · see citing works

Generative AI-enabled chatbots for user-centred design: a state-of-the-art review

Zhou, T., Liu, Y., Kumar, M., & Wang, S. (2026) · Journal of Engineering Design · doi:10.1080/09544828.2026.2633488 · Cited by 7 · see citing works

Agentic, Multimodal Large Language Model (LLM) with behavioural parameters and self-iterative capabilities for conversational architectural design processes

Cheung, L. H., Lombardi, D., & Marco, G. D. (2025) · Architectural Science Review · doi:10.1080/00038628.2025.2586655 · Cited by 5 · see citing works

An approach to design resource retrieval for large language models based on chain-of-thoughts prompts derived from designer thinking patterns

Sun, Q., Cui, J., Chang, F., Sheng, L., & Gu, Z. (2025) · Journal of Engineering Design · doi:10.1080/09544828.2025.2588551 · Cited by 4 · see citing works

The roles of cooperative attitude, personal innovativeness, and anxiety in AI adoption within the design community

Kuo, J.-Y., & Wang, T.-H. (2025) · AI & Society · doi:10.1007/s00146-025-02390-y · Cited by 3 · see citing works

Guiding the Unseen: A Systems Model of Prompt-Driven Agency Dynamics in Generative AI-Enabled VR Serious Game Design

Jiang, C., Huang, S., & Shen, T. (2025) · Systems · doi:10.3390/systems13070576 · Cited by 4 · see citing works

Research hotspots and trends of human-computer collaboration: A bibliometric analysis

Guo, C., & Li, A. (2025) · Computer Science Review · doi:10.1016/j.cosrev.2025.100830 · Cited by 3 · see citing works

LLM-Driven Expressive Robot Motion Via Proxy-Based Optimization

Roy, L., Croft, E. A., Ramirez, A., & Kulić, D. (2026) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2026.3666351 · Cited by 3 · see citing works

From designer to curator: cognitive and creative trade-offs in GenAI-assisted design

Jang, S. Y. (2026) · Fashion and Textiles · doi:10.1186/s40691-026-00459-w · Cited by 3 · see citing works

Data as design material: innovating smart artefacts and connected products development with the Data-Driven Design Framework (D3F)

Gómez, J. C. Q., Chacón, J., & Mor, E. (2025) · Journal of Engineering Design · doi:10.1080/09544828.2025.2455367 · Cited by 3 · see citing works

Innovative Forest Fire Detection Using LoRa Wireless Network for Long-Range and Real-Time Monitoring

Sulaiman, N. H., Adelianthi, N., Albarico, P. J., & Fulton, C. (2025) · Journal of Educational Technology and Learning Creativity · doi:10.37251/jetlc.v3i1.1627 · Cited by 3 · see citing works

Reimagining Human Creativity in the Age of Generative AI: A Multi-Method Meta-Thematic SynthesisPreprint

Zafar, M. B., Ali, H., & Yasin, T. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5229201 · Cited by 4 · see citing works

Feedback from the Experience of Incorporating ChatGPT into Student Design Thinking Activities

Chen, T.-L., Hou, C.-Y., & Zhu, R. (2024) · International Conference on Control and Robotics (ICCR) · doi:10.1109/iccr64365.2024.10927561 · Cited by 2 · see citing works

‘No children were harmed’: aesthetic infrastructures and ethical implications of AI-generated portraits

Herrie, M. B., & Philipsen, L. (2026) · Visual Studies · doi:10.1080/1472586x.2025.2606201 · Cited by 2 · see citing works

Education 5.0 and AI for Academic Research and Citation Management

Rana, J., Gahlot, R., Jain, R., & Lamba, J. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5601-3.ch013 · Cited by 2 · see citing works

Tracing the Invisible: Understanding Students’ Judgment in AI-Supported Design Work

Naik, S., Shukla, P., Obi, I., Backus, J., Rasche, N., & Parsons, P. (2025) · Creativity and Cognition · doi:10.1145/3698061.3734399 · Cited by 1 · see citing works

Deriving Design Considerations for AI-Based Design Tools: Focusing on Design Research and Planning Stage

Lee, M.-H., & Lee, M.-H. (2025) · Archives of Design Research · doi:10.15187/adr.2025.08.38.3.167 · Cited by 1 · see citing works

Adaptive Cognitive Assistive Framework: A Machine Learning-Driven Approach for Human-AI Symbiosis in Engineering Intelligence

Goud, G. A., Dilshad, S., Ali, M. A., Hussein, R. R., Christiana, S. G., & Anitha, C. (2025) · International Conference on Metaverse and Current Trends in Computing (ICMCTC) · doi:10.1109/icmctc62214.2025.11196721 · Cited by 1 · see citing works

Designers as Co‐Creators: Reconfiguring Workflows and Creative Agency in AI ‐Augmented Design

Zhang, R., & Sung, S. (2025) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.1528 · Cited by 1 · see citing works

Human-in-the-Loop Bayesian Optimization for Artificial Intelligence-Guided Design

Jetton, C., Campbell, M. I., & Hoyle, C. J. (2025) · Journal of Mechanical Design · doi:10.1115/1.4070429 · Cited by 1 · see citing works

Exploring the Cognitive Process and Interaction Effect of AI-Aided Simultaneous Interpretation

Liu, J., Gu, J., Shan, B., Liu, C., & Ganiyusufoglu, Ö. S. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2618555 · Cited by 1 · see citing works

Creativity and artificial intelligence in design

Gómez, J. C. Q. (2026) · Creativity Studies · doi:10.3846/cs.2026.22376 · Cited by 1 · see citing works

When Designers Sweat: Behavioral Traces of GenAI Co-Creation

Cavallin, E., & Spagnol, S. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791776 · Cited by 1 · see citing works

Beyond One-Size-Fits-All: Profiling Designers’ Adoption of Generative Artificial Intelligence in Professional Design Practice

Fang, C., Guo, J., Khiatani, P. V., Lin, H., Zhang, B., Yenigün, E. Ö., & Wang, S. G. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2658255 · Cited by 2 · see citing works

Explaining What Matters: Perceptions of AI Explanations in an AI-Powered Data Analytics Platform for UX Design

Luo, Y., Gkouskos, D., & Russo, N. L. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93236-6_2

Low Fidelity to High Functionality: Transforming Concepts into Working Models

Abegaz, T. T., & Burt, K. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-032-07989-3_8

A Study on Enhancing Rapport in Qualitative Interviews with UX Practitioners Using AI Virtual Interviewees and Big Five Personality Theory (NEO-PI-R)-Based Prompts

Kim, G.-S., & Choi, Y. (2025) · Journal of Digital Contents Society · doi:10.9728/dcs.2025.26.9.2313

Beyond Toolness

Song, F., & Rabu, S. N. A. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-3673-2.ch001

Smart systems for collaborative innovation: a generic framework development

Balkan, D., & Akyüz, G. A. (2025) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2025.2578822

Enhancing Computational Design by integrating Visual Programming Language with Natural Language Processing Models

Sardone, L. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11227803

StarBurst: Aiding Design Ideation Through AI-Generated Remote Associations

Zhang, P., Fang, R., Liu, F., Ye, Y., Cui, S., & Yin, M. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2582774

Human-Centered Service Design with AI Collaboration

Letheren, K. (2025) · Springer eBooks · doi:10.1007/978-3-031-75316-9_34-1

Synergising Computational and Design Thinking in Design Education: A Dual‐Process Framework to Enhancing Creativity and Appropriateness

Wang, W., Yang, Y., & Fang, Y. (2026) · International Journal of Art & Design Education · doi:10.1111/jade.70017

DETERMINANTS OF AI ADOPTION INTENTION IN FASHION DESIGN: A REVIEW

Luan, X., Ahmad, N., & Zain, M. H. K. M. (2025) · Journal of Information System and Technology Management · doi:10.35631/jistm.1041018

Blending Designer Insights With Predicted Crowd‐Based Color Compatibility in Interior Color Design

Jin, S., & Hyun, K. H. (2026) · Color Research & Application · doi:10.1002/col.70055

Exploring designers’ continuance usage intention of AI-assisted design tools: integrating TTF, design processes characteristics, TAM, creative self-efficacy, and social influence

Cheng, P., Sun, W., Huang, Q., & Hou, S. (2026) · Journal of Engineering Design · doi:10.1080/09544828.2026.2620969 · Cited by 1 · see citing works

HUMAN–AI CO-CREATION MODELS IN CONCEPTUAL ART

Bhise, S., Pradhan, I., Keerthi, H., Arsalwad, G. P., Tolani, K., & Saraswati, B. (2026) · ShodhKosh Journal of Visual and Performing Arts · doi:10.29121/shodhkosh.v7.i1s.2026.7121

An integrated innovation design process model based on flow analysis for the optimization of innovation solutions

Liu, F., Zhang, L., Deng, Q., Ren, Z., Wu, Z., Zhang, M., & Tang, X. (2026) · Journal of Engineering Design · doi:10.1080/09544828.2026.2637037

Dilemma of Human-AI Collaborative Innovation: Exploring the Boundaries of Human-AI Reciprocity and Platform Incentive Mechanisms in Open Innovation

Chen, Y., & Xue, C.-Q. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2634980

Exploring Research Trends in AI-Integrated Design Education

Chung, K., & Lee, M. (2026) · The Korean Society of Costume · doi:10.7233/jksc.2026.76.1.001

Augmenting the Creative Process: Integrating Generative AI into Design Thinking for Education and Media Design Innovation

Promsit, S. (2025) · International Conference on Education and Multimedia Technology (ICEMT) · doi:10.1145/3761843.3761920

Foundations of Ethical AI in Business Practices

Hameed, S., Khan, M. S., & Ghias, S. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-2878-2.ch001

SketchDynamics: Exploring Free-Form Sketches for Dynamic Intent Expression in Animation Generation

Li, B., Yuan, L.-P., Wang, Z., & Fu, H. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791071

Sustainable Human-AI Collaboration in Creative Contexts: An Integrated Approach of CASA, UTAUT, Psychological Ownership, and Self-Determination Theory

Hong, S., & Lee, S. W. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791002

The integration of generative AI on conceptual design in communication design

Chung, S. J., & Kim, S. Y. (2026) · International Journal of Design Creativity and Innovation · doi:10.1080/21650349.2026.2664427

Understanding the interaction between human and LLMs-based AI in creative tasks: Insights from UX professionals’ collaboration and communication with ChatGPT

Zhou, Z., Gao, W., Li, Y., & Yu, J. (2026) · Design Studies · doi:10.1016/j.destud.2026.101403

Tracing Cognitive Dynamics in Group Ideation: An LLM-Based Framework for Automating Linkography

Liu, C., Chen, Y., & Xao, X. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2662519

Night Owls, Social Bots: Late Chronotypes More Likely to Embrace AI with Social-Relational Use

Li, H. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2674267

Generating Design Knowledge Without Doing Design: The Design Researcher as Curator

Antunes, P. A., & Drechsler, A. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-28313-9_15

AR-COMPASS: A Framework for Tacit Knowledge Capturing in Industrial Maintenance

Scheffer, S., Kajtazi, K., & Ansari, F. (2026) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2026.3698594

The Use of Artificial Intelligence in The Visual Exploration Stage of Children’s Book Character Design

Alghifari, D., & Limano, F. (2026) · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · doi:10.1109/iraset68627.2026.11538452

Toward Intelligent Engineering Systems of Collaborative AI–Human in High-Risk and High-Complexity Environments

Astarini, S. D., & Utomo, C. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7966-1.ch010

Implementing AI for Human-AI Collaboration

Kumar, S., & Kumar, P. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-9725-2.ch008

Intelligent Visual Design Assistant With Dual Closed-Loop Mechanism

Li, Q. (2026) · Information Resources Management Journal · doi:10.4018/irmj.414356

What designers need from agentic AI: case of circularity and CMF design

Stylidis, K., Quattelbaum, B., Diels, C., & Söderberg, R. C. (2026) · Proceedings of the Design Society · doi:10.1017/pds.2026.10615

From manual to autonomous: a literature review of GenAI integration levels for design education

Mao, L., Qi, M., Ho, J. C. F., Bruyns, G., Lee, K.-P., & Zhou, Z. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2680597

Artificial Intelligence Tools Enhance Design Thinking in Multidisciplinary Design and Education – A Systematic Review

Wong, R. J., & Hsu, Y. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29178-3_14

From Collaboration to Cognition: Mapping a Decade of Thematic Evolution in IEEE CSCWD (2015–2025)

Zheng, D., Cai, Z. F., Chen, M., & Zhou, Z. (2026) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd68734.2026.11582625

Shaping the Designer of the Future: A UX-Driven Framework for Human-AI Collaboration in Design Education

Feng, L., Yang, Q., & Xu, Y. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30089-8_19

AI-Mediated Cultural Access: A Virtual Tour of an Inaccessible University Heritage Space

Tomasi, G. M. L. E., Capriotti, G., Cerquetti, M., & Ceccacci, S. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29653-5_24

A Hybrid Evaluation Framework for Designer-AI Co-Creation: Integrating Fuzzy Kansei Assessment and Design Cognition Strategies

Xue, L., Liu, P. N., & Zhao, C. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2699372

Designing Through Dialogue: Interaction Patterns in AI-Assisted UI Prototyping

Breckner, K., Hirschmann, F., Kotzian, D., Neumayr, T., Altmann, J., & Augstein, M. (2026) · Creativity and Cognition · doi:10.1145/3803784.3816854

Metacognitive Scaffolding in GenUI-Assisted UX Prototyping: Effects on Novice Designers Reflective Thinking and Creative Self-Efficacy

Lee, T.-P., Liu, Y.-L. E., & Huang, Y. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2712079

Bridging Industry and Academia: Co-Creating Interaction Design and Artificial Intelligence Courses

Ferati, M., Martins, R. M., Velásquez, J. P., Dalipi, F., Öberg, T., & Kurti, A. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-22934-2_6

Navigating AI in Design Education: A Student-Led Reflection on AI as a Tool in the Creative Process

Moseley, A. M. (2026) · 2018 International Conference on Multidisciplinary Research · doi:10.26803/myres.2026.20

Research on Simplified Design of Interface Interaction Process Based on TRIZ and Generative AI

Li, M., Liu, S., Wu, B., Zhao, X., & Ning, Z. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2705084

Digital 3D garment development process: From concept to virtual prototype

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When AI meets design: the role of enhanced and impeded human–AI interaction in designers’ value co-creation

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Zhang, Y., Yang, R., & Jiang, Q. (2026) · Systems · doi:10.3390/systems14091150

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Teng, J., & Cho, S. (2026) · International Journal of Technology and Design Education · doi:10.1007/s10798-026-10111-9

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Human–AI Collaboration: From Insight to Execution

Mastrogiacomi, F. (2026) · Springer eBooks · doi:10.1007/978-3-032-35370-2_3

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OfficeFit: Large language model-based framework for automated generation of activity-based office layouts from natural-language design requirementsPreprint

Hsu, T., & Lee, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7643897

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Wei, B., & Qiao, Y. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2738102

AI in design idea development: A workshop on creativity and human-AI collaboration

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Artificial intelligence in the design process

Figoli, F. A., Mattioli, F., & Rampino, L. (2022) · Directory of Open access Books (OAPEN Foundation)

Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature Review

Shi, Y., Gao, T., Jiao, X., & Cao, N. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3610217 · Cited by 193 · see citing works

Sustainable participation of Artificial Intelligence in design process

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Exploring the Use of GenAI in the Design Process: A Workshop with Design Students

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