Drawing a satisfying picture: an exploratory study of human–AI interaction in AI painting through breakdown-repair communication strategies

Machine learning: Algorithms, real-world applications and research directions

Sarker, I. H. (2021) · SN Computer Science · doi:10.1007/s42979-021-00592-x · Cited by 5,583 · see citing works

The Preference for Self-Correction in the Organization of Repair in Conversation

Schegloff, E. A., Jefferson, G., & Sacks, H. (1977) · Language · doi:10.2307/413107 · Cited by 5,150 · see citing works

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

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

(2020) · doi:10.1145/3313831 · Cited by 1,951 · see citing works

Proceedings for the Annual Meeting of the Cognitive Science Society

Dziemianko, M., Clarke, A. D. F., & Keller, F. (2013) · Cited by 1,726 · see citing works

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development

Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q.-L., & Tang, Y. (2023) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2023.123618 · Cited by 1,452 · see citing works

Explainable AI: From black box to glass box

Rai, A. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00710-5 · Cited by 1,317 · see citing works

Explainable artificial intelligence: a comprehensive review

Minh, D., Wang, H. X., Li, Y. F., & Nguyen, T. N. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-021-10088-y · Cited by 983 · see citing works

Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts

Zamfirescu-Pereira, J. D., Wong, R. Y., Hartmann, B., & Yang, Q. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581388 · Cited by 893 · see citing works

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

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

Trustworthy Artificial Intelligence: A Review

Kaur, D., Uslu, S., Rittichier, K. J., & Durresi, A. (2023) · ACM Computing Surveys · doi:10.1145/3491209 · Cited by 709 · see citing works

Art, Creativity, and the Potential of Artificial Intelligence

Mazzone, M., & Elgammal, A. (2019) · Arts · doi:10.3390/arts8010026 · Cited by 494 · see citing works

Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models

Chefer, H., Alaluf, Y., Vinker, Y., Wolf, L., & Cohen-Or, D. (2023) · ACM Transactions on Graphics · doi:10.1145/3592116 · Cited by 461 · see citing works

Human-Centered Artificial Intelligence: Three Fresh Ideas

Shneiderman, B. (2020) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00131 · Cited by 430 · 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

A taxonomy of prompt modifiers for text-to-image generation

Oppenlaender, J. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2286532 · Cited by 321 · see citing works

Communication Breakdowns Between Families and Alexa

Beneteau, E., Richards, O. K., Zhang, M., Kientz, J. A., Yip, J., & Hiniker, A. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300473 · Cited by 313 · see citing works

CHI '06 Extended Abstracts on Human Factors in Computing Systems

Olson, G. M., & Jeffries, R. (2006) · doi:10.1145/1125451 · Cited by 281 · see citing works

Does human–AI collaboration lead to more creative art? Aesthetic evaluation of human-made and AI-generated haiku poetry

Hitsuwari, J., Ueda, Y., Yun, W., & Nomura, M. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107502 · Cited by 267 · see citing works

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

Consumer Responses to AI-Generated Charitable Giving Ads

Arango, L., Singaraju, S. P., & Niininen, O. (2023) · Journal of Advertising · doi:10.1080/00913367.2023.2183285 · Cited by 243 · see citing works

AI-generated vs. Human Artworks. A Perception Bias Towards Artificial Intelligence?

Ragot, M., Martin, N., & Cojean, S. (2020) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3382892 · Cited by 221 · see citing works

Defending humankind: Anthropocentric bias in the appreciation of AI art

Millet, K., Buehler, F., Du, G., & Kokkoris, M. D. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107707 · Cited by 215 · see citing works

Patterns for How Users Overcome Obstacles in Voice User Interfaces

Myers, C., Furqan, A., Nebolsky, J., Caro, K., & Zhu, J. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173580 · Cited by 213 · see citing works

AI as a moral crumple zone: The effects of AI-mediated communication on attribution and trust

Hohenstein, J., & Jung, M. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106190 · Cited by 212 · see citing works

Communication in Human–AI Co-Creation: Perceptual Analysis of Paintings Generated by Text-to-Image System

Lyu, Y., Wang, X., Lin, R., & Wu, J. Y. (2022) · Applied Sciences · doi:10.3390/app122211312 · Cited by 160 · see citing works

Where is the human in human-centered AI? Insights from developer priorities and user experiences

Bingley, W., Curtis, C., Lockey, S., Bialkowski, A., Gillespie, N. A., Haslam, S. A., Ko, R. K. L., Steffens, N. K., Wiles, J., & Worthy, P. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107617 · Cited by 143 · see citing works

Repair: Comparing Facebook ‘chat’ with spoken interaction

Meredith, J., & Stokoe, E. H. (2013) · Discourse & Communication · doi:10.1177/1750481313510815 · Cited by 136 · see citing works

Language Learning Disabilities in School-Age Children and Adolescents: Some Principles and Applications

Wallach, G. P., & Butler, K. G. (1994) · Medical Entomology and Zoology · Cited by 122 · see citing works

Repair: The Interface Between Interaction and Cognition

Albert, S., & de Ruiter, J. P. (2018) · Topics in Cognitive Science · doi:10.1111/tops.12339 · Cited by 114 · see citing works

ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models

Zhang, Y., Dong, W., Tang, F., Huang, N., Huang, H., Ma, C., Lee, T., Deußen, O., & Xu, C. (2023) · ACM Transactions on Graphics · doi:10.1145/3618342 · Cited by 111 · see citing works

Investigating the negative bias towards artificial intelligence: Effects of prior assignment of AI-authorship on the aesthetic appreciation of abstract paintings

Chiarella, S. G., Torromino, G., Gagliardi, D. M., Rossi, D., Babiloni, F., & Cartocci, G. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107406 · Cited by 104 · see citing works

2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)

(2019) · doi:10.1109/mipr45112.2019 · Cited by 102 · see citing works

Is Everyone an Artist? A Study on User Experience of AI-Based Painting System

Xu, J., Zhang, X., Li, H., Yoo, C., & Pan, Y. (2023) · Applied Sciences · doi:10.3390/app13116496 · Cited by 93 · see citing works

An exploration of the relationships between work task and interactive information search behavior

Li, Y., & Belkin, N. J. (2010) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21359 · Cited by 79 · see citing works

Proceedings of the 17th ACM Conference on Interaction Design and Children

(2018) · doi:10.1145/3202185 · Cited by 75 · see citing works

Human, I wrote a song for you: An experiment testing the influence of machines’ attributes on the AI-composed music evaluation

Hong, J.-W., Fischer, K., Ha, Y., & Zeng, Y. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107239 · Cited by 74 · see citing works

“Rogue machines” and crisis communication: When AI fails, how do companies publicly respond?

Prahl, A., & Pin, W. G. W. (2021) · Public Relations Review · doi:10.1016/j.pubrev.2021.102077 · Cited by 68 · see citing works

Nordic Human-Computer Interaction Conference

(2022) · doi:10.1145/3546155 · Cited by 67 · see citing works

Task difficulty as a predictor and indicator of web searching interaction

Kim, J. (2006) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1125451.1125636 · Cited by 63 · see citing works

A Conversation Analysis of Non-Progress and Coping Strategies with a Banking Task-Oriented Chatbot

Li, C.-H., Yeh, S.-F., Chang, T.-J., Tsai, M.-H., Chen, K., & Chang, Y.-J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376209 · Cited by 57 · see citing works

ArtVerse: A Paradigm for Parallel Human–Machine Collaborative Painting Creation in Metaverses

Guo, C., Dou, Y., Bai, T., Dai, X., Wang, C., & Wen, Y. (2023) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2022.3230406 · Cited by 53 · see citing works

Boundary crossing: an experimental study of individual perceptions toward AIGC

Wei, T., Gao, S., & Yuan, Y. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1185880 · Cited by 52 · see citing works

“Sorry?”/“Como?”/“Was?” – Open class and embodied repair initiators in international workplace interactions

Oloff, F. (2017) · Journal of Pragmatics · doi:10.1016/j.pragma.2017.11.002 · Cited by 48 · see citing works

The Use of Repair Strategies by Children With and Without Hearing Impairment

Most, T. (2002) · Language Speech and Hearing Services in Schools · doi:10.1044/0161-1461(2002/009 · Cited by 45 · see citing works

Cognitive Services and Intelligent Chatbots: Current Perspectives and Special Issue Introduction

Sheth, A., Yip, H. Y., Iyengar, A., & Tepper, P. A. (2019) · IEEE Internet Computing · doi:10.1109/mic.2018.2889231 · Cited by 45 · see citing works

Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction

(2021) · doi:10.1145/3447526 · Cited by 39 · see citing works

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer

Xiao, Z., Chen, Y., Yao, J., Zhang, L., Liu, Z., Wu, Z., Yu, X., Pan, Y., Zhao, L., Ma, C., et al. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.102204 · Cited by 39 · see citing works

Talk to Me on My Level – Linguistic Alignment for Chatbots

Spillner, L., & Wenig, N. (2021) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3447526.3472050 · Cited by 38 · see citing works

“Can I have the scan on Tuesday?” User repair in interaction with a task-oriented chatbot and the question of communication skills for AI

Dippold, D. (2023) · Journal of Pragmatics · doi:10.1016/j.pragma.2022.12.004 · Cited by 37 · see citing works

Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service

Law, E. L., Følstad, A., & van As, N. (2022) · Nordic Conference on Human-Computer Interaction · doi:10.1145/3546155.3546665 · Cited by 37 · see citing works

Are you willing to forgive AI? Service recovery from medical AI service failure

Chen, A., Pan, Y., Li, L., & Yu, Y. (2022) · Industrial Management & Data Systems · doi:10.1108/imds-12-2021-0801 · Cited by 34 · see citing works

Introduction to Explainable AI

Liao, Q. V., Singh, M., Zhang, Y., & Bellamy, R. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411763.3445016 · Cited by 34 · see citing works

Collaborating with a Text-Based Chatbot: An Exploration of Real-World Collaboration Strategies Enacted during Human-Chatbot Interactions

Rapp, A., Boldi, A., Curti, L., Perrucci, A., & Simeoni, R. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580995 · Cited by 24 · see citing works

“Journey of Finding the Best Query”: Understanding the User Experience of AI Image Generation System

Kim, S., Eun, J., Oh, C., & Lee, J. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2307670 · Cited by 23 · see citing works

The perceived value of human-AI collaboration in early shape exploration: An exploratory assessment

Arias–Rosales, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0274496 · Cited by 20 · see citing works

Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents

Linders, G. M., Vaitonyté, J., Alimardani, M., Mitev, K. O., & Louwerse, M. M. (2022) · doi:10.1145/3514197 · Cited by 18 · see citing works

“Alexa, What is That Sound?” A Video Analysis of Child-Agent Communication From Two Amazon Alexa Games

Du, Y., Zhang, K., Ramabadran, S., & Liu, Y. (2021) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3459990.3465195 · Cited by 17 · see citing works

Decoding the perioperative process breakdowns: A theoretical model and implications for system design

Taneva, S., Grote, G., Easty, A., & Plattner, B. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.10.001 · Cited by 16 · see citing works

UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal GuidancePreprint

Li, W., Xu, X. J., Xiao, X., Liu, J., Yang, H., Li, G., Wang, Z., Feng, Z., She, Q., Lyu, Y., et al. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2210.16031 · Cited by 15 · see citing works

Understanding task preparation and resumption behaviors in cross‐device search

Wu, D., Dong, J., Tang, Y., & Capra, R. (2019) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24307 · Cited by 13 · see citing works

Other-initiated repair and preference principles in an oral classroom

Montiegel, K. (2021) · Journal of Pragmatics · doi:10.1016/j.pragma.2021.03.006 · Cited by 11 · see citing works

Light-Occlusion Text Entry in Mixed Reality

Sun, A., Wang, L., Leng, J., & Im, S. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2285646 · Cited by 9 · see citing works

Viewer Emotional Response to Webtoon-Based Drama: An EEG Analysis

Park, J., Wang, S., Lee, S., Seo, S., Lee, N. C., & Kim, S. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2285647 · Cited by 9 · 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

Give Me a Hand: A Scene-Fit Hand Posture Drawing Aid

Sun, X., Qin, J., Xu, W., & Peng, X. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05643-7_32 · Cited by 5 · see citing works

AI in Art: Simulating the Human Painting Process

Leiser, A., & Schlippe, T. (2022) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-95531-1_20 · Cited by 5 · see citing works

From Knowledge Map to Mind Map: Artificial Imagination

Liu, R., Chen, B., Guo, X., Dai, Y., Chen, M., Qiu, Z., & He, X. (2019) · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) · doi:10.1109/mipr.2019.00100 · Cited by 4 · see citing works

Research on driving factors of consumer purchase intention of artificial intelligence creative products based on user behavior

Shi, W., Li, L., Zhang, Z., Li, M., & Li, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-01258-x · Cited by 44 · see citing works

Human–AI collaboration in knowledge ecosystems: a multidisciplinary review, integrative framework and future directions

Ali, I., Nguyen, K., Ali, A. M., & Cui, T. (2025) · Journal of Knowledge Management · doi:10.1108/jkm-03-2025-0431 · Cited by 44 · see citing works

Recovering customer satisfaction after a chatbot service failure – The effect of gender

Rese, A., & Witthohn, L. (2025) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2025.104257 · Cited by 29 · see citing works

When city landmarks meet AI design: the impact of AI painting on the travel intentions of consumers

Song, M., Wang, Y., Guo, R., & Law, R. (2025) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2025.2486034 · Cited by 12 · 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

From humans to AI: understanding why AI is perceived as the preferred co-creation partner

Liu, Y., Yang, Y., & Xu, H. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1695532 · Cited by 10 · see citing works

Quality of human-GenAI collaboration and its driving factors: A symbiotic agency perspective

Shang, J., Huang, D., & Huang, S. (. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104373 · Cited by 8 · see citing works

Light Trumps Shadow? How Generative AI Agent’s Language Arousal Influences Users’ Interactive Willingness: Evidence From Multimodal Analysis

Bai, S., He, H., Han, C.-J., Yang, M., Li, Z., & Fan, W. (2025) · IEEE transactions on engineering management · doi:10.1109/tem.2025.3608461 · Cited by 7 · see citing works

How Prompt Language Structures Influence Perceived Camera Movement and Usage Intentions in AI-Generated Video: An S–O–R Framework

Liu, J., & Sun, Y. (2025) · IEEE Access · doi:10.1109/access.2025.3613754 · Cited by 4 · see citing works

Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics?

Saqr, M., Misiejuk, K., & López‐Pernas, S. (2026) · The Internet and Higher Education · doi:10.1016/j.iheduc.2026.101087 · Cited by 4 · see citing works

A study on user innovative behavior of AI painting tools integrating SOR and Self-Determination theory

Fan, L., Lai, S., Zhang, S., Cheng, C., Wu, F., Zeng, C., & Wang, X. (2026) · Scientific Reports · doi:10.1038/s41598-026-38532-5 · Cited by 3 · see citing works

Users’ mental models within human–AI interaction: a systematic scoping review

Bodamer, W. G., Schoenmakers, S., Castellar, E. N., & IJsselsteijn, W. A. (2026) · AI & Society · doi:10.1007/s00146-026-03038-1 · Cited by 3 · see citing works

The combined effect of entropy and complexity: Human analysis of AI painting recognition ability

Ma, D., An, Q., & Li, A. (2025) · Systems and Soft Computing · doi:10.1016/j.sasc.2025.200378 · Cited by 2 · see citing works

Impact of artificial intelligence painting technology on traditional easel art through emotion and semantic based creative modelling

Bao, P. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00689-9 · Cited by 2 · see citing works

Neurocognitive and affective responses to narrative and divergent AI-generated content in human-AI co-creation: An fNIRS study

Wang, N., Liang, Z., Ren, X., Bu, L., Ge, S., Li, Z., & Shi, D. (2026) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2026.104025 · Cited by 2 · see citing works

Beyond Reciprocity: Psychological Needs as a Foundation for Human-AI Cooperation

Attig, C., Sarkisian, A., Chew, J. Y., & Wiebel-Herboth, C. B. (2025) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3765766.3765854 · Cited by 1 · see citing works

Algorithmic relational fracture and pseudo-relational accommodation: how users navigate communication breakdowns with relational AI

Gan, H., & Yeo, T. E. D. (2026) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmag007 · Cited by 1 · see citing works

Cooperative interaction: A taxonomy of human-GenAI interaction patterns in tourism

Zhao, Y., Gao, Y., Wang, Y., Zhang, H., & Zheng, B. (2026) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2026.101472 · Cited by 1 · see citing works

Construction and Efficacy Verification of Color Theory Optimization Model in AI Painting Assistant

Tian, L. (2024) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2024-2453

Guest editorial of the IPM special issue on information science in human-centered AI

Wu, D., He, D., Hansen, P., & Liang, S. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104228

Who am I? And who should I be? The use and trust effects of identity strategies in AI-generated science communication

Yang, Z., Jiang, Y., Tao, R., & Wu, F. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2026.104802

Video emotion analysis: Segmentation, classification, and explainability techniques in review

Hallur, S., & Gavade, A. B. (2026) · Franklin Open · doi:10.1016/j.fraope.2026.100604

Research on user acceptance intention of artificial intelligence generated content for museum cultural and creative products

Zhang, D., Yunlong, Z., & Jiang, X. (2026) · PLoS ONE · doi:10.1371/journal.pone.0349450

MIRA: A Human-AI Co-Creation Agent for Self-reflection through Squiggle Game

Jin, Y., Wang, T., Qin, D. R., Zhou, Z., Bi, M., Hua, M., & Wang, P. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3813019

Human–AI Cooperation Reconsidered: Integrating Reciprocity and Psychological Needs

Attig, C., Wollstadt, P., Sarkisian, A., Chew, J. Y., & Wiebel-Herboth, C. B. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30846-7_15

Emotional Expression Between Artificial Intelligence and Human Painting: An Analysis Based on Eye-Tracking and Subjective Emotional Experience

Wu, W., Zhou, J., Wu, J., Xue, C., & Gan, F. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2702730

The Impact of AI-Assisted Reflective Strategies and Design Thinking (A-RSDT): Evaluation of Students’ Project Achievement, Design Thinking, and Learning Activity in Project-Based Learning Environment

Hariyanti, U., Choirinnisa, F., & Purnawirawan, O. (2026) · International Conference on Information Technology and Education Technology (ITET) · doi:10.1109/itet70052.2026.11650889

User experience factors influencing art professionals’ use of AI painting tools: an extended technology acceptance model in human–AI interaction

Li, Y., Guo, J., Xie, J., Zhu, L., & Siek, H. L. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-08868-4

Bridging the Cognitive Gulf: User Dialogue Repair Strategies and Effectiveness in Human-AI Interaction

Han, Z., Zhao, H., & Ma, L. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2026.105227

Explainable AI-Driven Sustainability Analytics Framework for Indian Folk-Art Entrepreneurship

Lalitha, R., Sathiyanarayanan, M., Muthusamy, G., Ismail, S. B., & Sreelekha, P. (2026) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac70384.2026.11747617

Exploring Laypeople's Engagement with AI Painting: A Preliminary Investigation into Human‐AI Collaboration

Zhang, X. M., Zhu, S., Zhao, Y. C., Hansen, P., & Zhu, Q. (2023) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.996 · Cited by 4 · see citing works

A study on user innovative behavior of AI painting tools integrating SOR and Self-Determination theory

Fan, L., Lai, S., Zhang, S., Cheng, C., Wu, F., Zeng, C., & Wang, X. (2026) · Scientific Reports · doi:10.1038/s41598-026-38532-5 · Cited by 3 · see citing works

Persist or Abandon? Exploring Chinese Users’ Continuance Intentions Toward AI Painting Tools

Xu, J., Ren, X., Huang, Y., Wu, R., & Pan, Y. (2024) · IEEE Access · doi:10.1109/access.2024.3424946 · Cited by 29 · see citing works

Communication in Human–AI Co-Creation: Perceptual Analysis of Paintings Generated by Text-to-Image System

Lyu, Y., Wang, X., Lin, R., & Wu, J. Y. (2022) · Applied Sciences · doi:10.3390/app122211312 · Cited by 160 · see citing works

Human-AI Co-creation in Art: Understanding the Role of Affordance and Identity

Lin, H., Yang, B., & Sun, Y. (2024) · Journal of the Association for Information Systems