Research graph
References from Users’ continuance intention towards an AI painting application: An extended expectation confirmation model. Local targets link to admitted publications; unresolved targets remain external evidence.
Artistic reflection on artificial intelligence digital painting
2020 · External reference
Communication in human-AI co-creation: Perceptual analysis of paintings generated by text-to-image system
10.3390/app122211312 · 2022 · External reference
Extended TAM model to explore the factors that affect intention to use AI robotic architects for architectural design
10.1080/09537325.2021.1900808 · 2022 · External reference
Why do designers in various fields have different attitude and behavioral intention towards AI painting tools? an extended UTAUT model
10.1016/j.procs.2023.08.010 · 2023 · External reference
Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector
10.1016/j.bushor.2019.11.004 · 2020 · External reference
Bias in data-driven artificial intelligence systems—An introductory survey
2020 · External reference
Artificial intelligence-supported art education: A deep learning-based system for promoting university students’ artwork appreciation and painting outcomes
10.1080/10494820.2022.2100426 · 2022 · External reference
Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach
10.1016/j.techsoc.2022.102190 · 2023 · External reference
“I am here to assist your tourism”: predicting continuance intention to use ai-based chatbots for tourism. does gender really matter?
10.1080/10447318.2022.2124345 · 2023 · External reference
How habits, social ties, and economic switching barriers affect customer loyalty in contractual service settings
10.1016/j.jbusres.2010.10.007 · 2011 · External reference
Understanding the social sustainability of the Metaverse by integrating UTAUT2 and big five personality traits: A hybrid SEM-ANN approach
10.1016/j.techsoc.2022.102120 · 2022 · External reference
Achieving loyalty for sharing economy platforms: an expectation–confirmation perspective
10.1108/ijopm-06-2019-0450 · 2020 · External reference
The integration of value-based adoption and expectation–confirmation models: An example of IPTV continuance intention
10.1016/j.dss.2012.04.004 · 2012 · External reference
Understanding and creating art with AI: Review and outlook
10.1145/3475799 · 2022 · External reference
Dream Painter: Exploring creative possibilities of AI-aided speech-to-image synthesis in the interactive art context
10.1145/3533386 · 2022 · External reference
From pigments to pixels: a comparison of human and AI painting
10.3390/app12083724 · 2022 · External reference
Who made the paintings: Artists or artificial intelligence? The effects of identity on liking and purchase intention
10.3389/fpsyg.2022.941163 · 2022 · External reference
Is everyone an artist? a study on user experience of AI-based painting system
10.3390/app13116496 · 2023 · External reference
Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation
10.1037/0021-9010.62.4.480 · 1977 · External reference
Understanding information systems continuance: An expectation-confirmation model
10.2307/3250921 · 2001 · External reference
Expectation processes in satisfaction formation: A field study
10.1177/109467059913002 · 1999 · External reference
Understanding continuance intention of artificial intelligence (AI)-enabled mobile banking applications: an extension of AI characteristics to an expectation confirmation model
2023 · External reference
10.4324/9781003307105-3
10.4324/9781003307105-3 · 2022 · External reference
Are you ready for artificial Mozart and Skrillex? An experiment testing expectancy violation theory and AI music
10.1177/1461444820925798 · 2021 · External reference
Measuring the impact of buying behaviour on customer satisfaction
10.1080/0954412997587 · 1999 · External reference
Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model
10.1007/s10796-018-9864-5 · 2020 · External reference
An Integrated Model of Continued M-Commerce Applications Usage
10.1080/08874417.2022.2091682 · 2023 · External reference
What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?
10.1016/j.ijhm.2020.102683 · 2020 · External reference
Continuance adoption of mobile-based payments in Covid-19 context: an integrated framework of health belief model and expectation confirmation model
10.1108/ijpcc-06-2020-0069 · 2020 · External reference
Integrating perceived playfulness into expectation-confirmation model for web portal context
10.1016/j.im.2004.04.003 · 2005 · External reference
Social comparison and continuance intention of smart fitness wearables: An extended expectation confirmation theory perspective
10.1080/0144929x.2020.1748715 · 2021 · External reference
Extending the two-stage information systems continuance model: Incorporating UTAUT predictors and the role of context
10.1111/j.1365-2575.2011.00373.x · 2011 · External reference
Will robo-advisors continue? Roles of task-technology fit, network externalities, gratifications and flow experience in facilitating continuance intention
10.1108/k-03-2020-0185 · 2020 · External reference
User acceptance of smart wearable devices: An expectation-confirmation model approach
10.1016/j.tele.2019.101318 · 2020 · External reference
Smartphones as smart pedagogical tools: Implications for smartphones as u-learning devices
10.1016/j.chb.2011.06.017 · 2011 · External reference
The challenge of innovation implementation
10.2307/259164 · 1996 · External reference
Modeling the predictors of consumers’ online purchase intention of green products: the role of personal innovativeness and environmental drive
2021 · External reference
Understanding the key antecedents of users’ continuance intention in the context of smart factory
10.1080/09537325.2021.1970130 · 2023 · External reference
The moderating role of personal innovativeness in tourists’ intention to use web 3.0 based on updated information systems success model
10.3390/su142113935 · 2022 · External reference
The moderating role of personal innovativeness and users experience in accepting the smart meter technology
10.3390/app11083297 · 2021 · External reference
An exploratory study on the continuance of mobile commerce: an extended expectation-confirmation model of information system use
10.1504/ijmc.2007.012788 · 2007 · External reference
The continuation and recommendation intention of artificial intelligence-based voice assistant systems (AIVAS): the influence of personal traits
10.1108/intr-06-2020-0327 · 2021 · External reference
A technology acceptance model for empirically testing new end-user information systems: Theory and results
1985 · External reference
Examining a model of information technology acceptance by individual professionals: An exploratory study
10.1080/07421222.2002.11045699 · 2002 · External reference
Factors influencing intention to technological use in older adults. the tam model aplication
10.1177/01640275211063797 · 2022 · External reference
Perceived usefulness, perceived ease of use, and user acceptance of information technology
10.2307/249008 · 1989 · External reference
User acceptance of information technology: Toward a unified view
10.2307/30036540 · 2003 · External reference
The unified theory of acceptance and use of technology (UTAUT): a literature review
10.1108/jeim-09-2014-0088 · 2015 · External reference
User acceptance of computer technology: A comparison of two theoretical models
10.1287/mnsc.35.8.982 · 1989 · External reference
Modeling mobile commerce applications’ antecedents of customer satisfaction among millennials: An extended tam perspective
10.3390/su13115973 · 2021 · External reference
Older adults’ online shopping continuance intentions: Applying the technology acceptance model and the theory of planned behavior
10.1080/10447318.2020.1861419 · 2021 · External reference
Extending the technology acceptance model to explain how perceived augmented reality affects consumers’ perceptions
10.1016/j.chb.2021.107127 · 2022 · External reference
Technology acceptance model 3 and a research agenda on interventions
10.1111/j.1540-5915.2008.00192.x · 2008 · External reference
Extrinsic and intrinsic motivation to use computers in the workplace 1
10.1111/j.1559-1816.1992.tb00945.x · 1992 · External reference
Examining the importance of gamification, social interaction and perceived enjoyment among young female online buyers in India
10.1108/yc-05-2020-1148 · 2021 · External reference
Understanding user behavior of virtual personal assistant devices
10.1007/s10257-018-0375-1 · 2019 · External reference
Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach
10.1371/journal.pone.0273849 · 2022 · External reference
Determinants of a mobile phone-based Interactive Voice Response (mIVR) system for monitoring childhood illnesses in a rural district of Ghana: Empirical evidence from the UTAUT model
10.1371/journal.pone.0248363 · 2021 · External reference
Extending the UTAUT Model of Tencent Meeting for Online Courses by Including Community of Inquiry and Collaborative Learning Constructs
10.1080/10447318.2023.2233129 · 2023 · External reference
Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology
10.1016/j.jsis.2005.07.003 · 2005 · External reference
Adoption and use of AI tools: a research agenda grounded in UTAUT
2022 · External reference
Assessing organizational users’ intentions and behavior to AI integrated CRM systems: A meta-UTAUT approach
10.1007/s10796-021-10181-1 · 2023 · External reference
Exploring Factors of the Willingness to Accept AI-Assisted Learning Environments: An Empirical Investigation Based on the UTAUT Model and Perceived Risk Theory
10.3389/fpsyg.2022.870777 · 2022 · External reference
Sustainable adoption of E-Government from the UTAUT perspective
10.3390/su14095370 · 2022 · External reference
Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model
10.1007/s10100-022-00827-z · 2023 · External reference
Development and validation of a scale to measure optimal experience: The Flow State Scale
10.1123/jsep.18.1.17 · 1996 · External reference
The flow experience and its significance for human psychology
10.1017/cbo9780511621956.002 · 1988 · External reference
Toward a psychology of optimal experience
10.1007/978-94-017-9088-8_14 · 2014 · External reference
Perceived value and flow experience: Application in a nature-based tourism context
10.1016/j.jdmm.2017.08.002 · 2018 · External reference
Revitalizing traditional villages through rural tourism: A case study of Yuanjia Village, Shaanxi Province, China
10.1016/j.tourman.2017.04.003 · 2017 · External reference
A new look at habits and the habit-goal interface
10.1037/0033-295x.114.4.843 · 2007 · External reference
Origin of Right-handedness
10.1126/science.ns-16.406.275.a · 1890 · External reference
Habit and climate change
10.1016/j.cobeha.2021.02.020 · 2021 · External reference
Implementation intentions and effective goal pursuit
10.1037/0022-3514.73.1.186 · 1997 · External reference
Formation and effect of social media usage habit
10.1080/08874417.2016.1261378 · 2018 · External reference
Understanding continuance usage of mobile learning applications: The moderating role of habit
2021 · External reference
Examining the antecedents of user gratification and its effects on individuals’ social network services usage: the moderating role of habit
10.1057/ejis.2014.9 · 2015 · External reference
Translating achievement tests for use in cross-national studies
1993 · External reference
Is more ever too much? The number of indicators per factor in confirmatory factor analysis
10.1207/s15327906mbr3302_1 · 1998 · External reference
A desires congruency model of consumer satisfaction
10.1177/0092070393213001 · 1993 · External reference
To stay or not to stay? Discontinuance intention of gamification apps
10.1108/itp-08-2017-0271 · 2019 · External reference
Applications of structural equation modeling in marketing and consumer research: A review
10.1016/0167-8116(95)00038-0 · 1996 · External reference
Introduction to mediation, moderation, and conditional process analysis: A regression-based approach
2017 · External reference
Unresolved reference
2013 · External reference
How destination image and evaluative factors affect behavioral intentions?
10.1016/j.tourman.2006.07.007 · 2007 · External reference
Psychometric theory—25 years ago and now
1975 · External reference
A meta-analysis of Cronbach’s coefficient alpha
10.1086/209405 · 1994 · External reference
The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults
10.1007/s10209-018-0642-4 · 2020 · External reference
Reporting practices in confirmatory factor analysis: an overview and some recommendations
10.1037/a0014694 · 2009 · External reference
Unresolved reference
External reference
Genetic moderation of contextual effects on negative arousal and parenting in African-American parents
10.1037/a0026236 · 2012 · External reference
Scientific discovery in the age of artificial intelligence
10.1038/s41586-023-06221-2 · 2023 · External reference
Impacts of consumer innovativeness on the intention to purchase sustainable productss
10.1016/j.spc.2021.02.002 · 2021 · External reference
Adoption of AI-Enabled Tools in Social Development Organizations in India: An Extension of UTAUT Model
10.3389/fpsyg.2022.893691 · 2022 · External reference
The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?
10.1016/j.techfore.2022.121692 · 2022 · External reference
Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model
10.1007/s10796-017-9774-y · 2019 · External reference
Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience
10.1016/j.chb.2010.11.013 · 2011 · External reference