Cogent Business & Management, Год журнала: 2025, Номер 12(1)
Опубликована: Фев. 27, 2025
Язык: Английский
Technology in Society, Год журнала: 2024, Номер 78, С. 102653 - 102653
Опубликована: Июль 3, 2024
Язык: Английский
Процитировано
7
International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 22
Опубликована: Апрель 3, 2024
ChatGPT and other AI chat information retrieval processing service systems can deal with many problems, which are crucial for users, yet current research lacks depth in user experience. And those studies predominantly focus on positive aspects of intention, have a large limitation. Against this backdrop, study, framed by Behavioral Reasoning Theory, utilizes factor analysis linear regression to create comprehensive intention evaluation scale model. The eight-factor scale, shaped values, includes supporting reasons like usefulness, convenience, growth, interactivity, inhibiting factors such as inaccuracy, semantic rigidity, security risk, cognitive Attitude serves an intermediary, positively affected negatively influenced ones. Core impacting limitation, risk. This not only bridges existing gaps but also lays theoretical foundation related industries.
Язык: Английский
Процитировано
6
International Journal of Information and Learning Technology, Год журнала: 2024, Номер unknown
Опубликована: Июнь 30, 2024
Purpose The advent of artificial intelligence technologies, exemplified by platforms such as ChatGPT, has created a profound global impact, with particular resonance in education. This research aims to integrate the information systems success (ISS) model stimulus-organism-response (SOR) paradigm explore how quality and service individually, jointly, congruently, incongruently affect higher education students’ trust satisfaction, continuance usage intention. Design/methodology/approach We employed sophisticated methodology - polynomial regression response surface analysis conducted our study sample 468 students selected Vietnam using three-phase stratified random sampling approach evaluate hypotheses developed. Findings findings indicate that both influence directly positively Moreover, balance between can increase level intention continue it. Nevertheless, significant incongruity will likely reduce service. Originality/value is one first offer shred empirical evidence about interact congruently each other trigger ChatGPT. It thus offers valuable insights for leveraging benefits mitigating potential challenges associated adopting this innovative technology educational settings.
Язык: Английский
Процитировано
6
British Educational Research Journal, Год журнала: 2024, Номер unknown
Опубликована: Окт. 19, 2024
Abstract The adoption of generative artificial intelligence (GAI) tools, such as ChatGPT, in higher education presents numerous opportunities and challenges. use GAI technologies various fields, including education, has accelerated technology develops. widely used language model developed by OpenAI, become progressively more important, especially the field education. This study employs acceptance to investigate factors influencing employment ChatGPT within sector Pakistan. employed PLS‐SEM method for probing data collected from 368 Pakistani university students. findings indicate that trust positively mediates affiliation between self‐efficacy, actual use, information interaction. Further, usefulness ease significantly moderate association self‐efficacy trust. Educators must encourage students safely preserve their critical thinking, problem‐solving abilities creativity during assessments. contributes understanding AI tools are educational settings provides insights administrators policymakers aiming implement these effectively.
Язык: Английский
Процитировано
6
AI, Год журнала: 2024, Номер 5(3), С. 1357 - 1376
Опубликована: Авг. 5, 2024
Recent advancements in artificial intelligence (AI) technologies, particularly generative pre-trained transformer large language models, have significantly enhanced the capabilities of text-generative AI tools—a development that opens new avenues for human–AI collaboration across various domains. However, dynamics human interaction with AI-based chatbots, such as ChatGPT, remain largely unexplored. We observed and analyzed how people interact ChatGPT a collaborative writing setting to address this research gap. A total 135 participants took part exploratory lab study, which consisted engaging compose text discussing prohibition alcohol public relation given statement on risky consumption. During task, all screen activity was logged. In addition further insights user behavior experience were gained by applying questionnaires conducting an additional short interview randomly selected subset 18 participants. Our results reveal high satisfaction regarding quality aspects, mainly cognitive rather than affect-based trust ChatGPT’s responses, higher ratings perceived competence warmth. Compared other types prompts, mostly content-related prompts data, facts, information sent ChatGPT. Mixed-method analysis showed affinity technology integration current use positively associated frequency complete requests. Moreover, texts more copy–paste behavior. These first into co-writing can inform future successful be designed.
Язык: Английский
Процитировано
5
Library Hi Tech, Год журнала: 2025, Номер unknown
Опубликована: Янв. 7, 2025
Purpose People have utilized artificial intelligence (AI) reading assistants for study. This tool assists readers in summarizing the content of a book. However, crucial factor book lies quality by generative AI, as this affects readers’ willingness to use AI tools aids. study expands acceptance architecture artificially intelligent device (AIDUA), integrates concept and proposes new model users’ continuous assistants. Design/methodology/approach employed quantitative approach. A total 362 respondents were from Taiwan. used partial least squares structural equation modeling (PLS-SEM) validate, aiming identify factors influencing continued adoption Findings The results show that AI-generated readability significantly influence performance expectations effort expectancy. credibility representationalness different effects, impacting expectancy but not These findings underscore critical role shaping user their Originality/value research is great significance examining AI. It establishes theoretical framework applicable future research, enabling industry players understand better pivotal operation information services. And focus on using assistants, describing specific tasks.
Язык: Английский
Процитировано
0
Acta Psychologica, Год журнала: 2025, Номер 253, С. 104661 - 104661
Опубликована: Янв. 24, 2025
Язык: Английский
Процитировано
0
Industrial Management & Data Systems, Год журнала: 2025, Номер unknown
Опубликована: Янв. 24, 2025
Purpose This study aims to discover the impact of interaction between learning performance (as behavioral realism) and realistic appearance form AI-powered software robots on user trust. The also reveal how why happens, especially from dual processing perspective affective cognitive human responses. Design/methodology/approach We adopted an experimental research methodology in a movie recommendation system environment where machine learning-based recommendations are widely used. conducted 3 × 2 factorial design experimentation based three levels (low, mid high) two (caricature avatar digital human). used ANCOVA PROCESS Macro analyze our models. Findings Our results confirm that (intelligence) is critical factor influencing trust robots, this intelligence–trust relationship influenced by their appearance. further there significant intermediating mechanisms, i.e. responses, intelligence–appearance effect explained response mechanism. Practical implications provides valuable for creating optimal can lead various settings utilized. Originality/value has sveral contributions literature. First, addition well-recognized anthropomorphic characteristics, investigates another (learning as intelligence characteristics) intriguing realism factors. Second, drawing upon mediated moderation perspective, proposes novice factors build (the underlying mechanisms).
Язык: Английский
Процитировано
0
Technology Knowledge and Learning, Год журнала: 2025, Номер unknown
Опубликована: Янв. 24, 2025
Язык: Английский
Процитировано
0
Social Sciences & Humanities Open, Год журнала: 2025, Номер 11, С. 101306 - 101306
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0