FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4324132706> ?p ?o ?g. }

• W4324132706 abstract "<sec> <title>BACKGROUND</title> ChatGPT (Chat Generative Pre-trained Transformer) has gained popularity for its ability to generate human-like responses. It is essential to note that overreliance or blind trust in ChatGPT, especially in high-stakes decision-making contexts, can have severe consequences. Similarly, lacking trust in the technology can lead to underuse, resulting in missed opportunities. </sec> <sec> <title>OBJECTIVE</title> This study investigated the impact of users’ trust in ChatGPT on their intent and actual use of the technology. Four hypotheses were tested: (1) users’ intent to use ChatGPT increases with their trust in the technology; (2) the actual use of ChatGPT increases with users’ intent to use the technology; (3) the actual use of ChatGPT increases with users’ trust in the technology; and (4) users’ intent to use ChatGPT can partially mediate the effect of trust in the technology on its actual use. </sec> <sec> <title>METHODS</title> This study distributed a web-based survey to adults in the United States who actively use ChatGPT (version 3.5) at least once a month between February 2023 through March 2023. The survey responses were used to develop 2 latent constructs: <i>Trust</i> and <i>Intent to Use</i>, with <i>Actual Use</i> being the outcome variable. The study used partial least squares structural equation modeling to evaluate and test the structural model and hypotheses. </sec> <sec> <title>RESULTS</title> In the study, 607 respondents completed the survey. The primary uses of ChatGPT were for information gathering (n=219, 36.1%), entertainment (n=203, 33.4%), and problem-solving (n=135, 22.2%), with a smaller number using it for health-related queries (n=44, 7.2%) and other activities (n=6, 1%). Our model explained 50.5% and 9.8% of the variance in <i>Intent to Use</i> and <i>Actual Use</i>, respectively, with path coefficients of 0.711 and 0.221 for <i>Trust</i> on <i>Intent to Use</i> and <i>Actual Use</i>, respectively. The bootstrapped results failed to reject all 4 null hypotheses, with <i>Trust</i> having a significant direct effect on both <i>Intent to Use</i> (β=0.711, 95% CI 0.656-0.764) and <i>Actual Use</i> (β=0.302, 95% CI 0.229-0.374). The indirect effect of <i>Trust</i> on <i>Actual Use</i>, partially mediated by <i>Intent to Use</i>, was also significant (β=0.113, 95% CI 0.001-0.227). </sec> <sec> <title>CONCLUSIONS</title> Our results suggest that trust is critical to users’ adoption of ChatGPT. It remains crucial to highlight that ChatGPT was not initially designed for health care applications. Therefore, an overreliance on it for health-related advice could potentially lead to misinformation and subsequent health risks. Efforts must be focused on improving the ChatGPT’s ability to distinguish between queries that it can safely handle and those that should be redirected to human experts (health care professionals). Although risks are associated with excessive trust in artificial intelligence–driven chatbots such as ChatGPT, the potential risks can be reduced by advocating for shared accountability and fostering collaboration between developers, subject matter experts, and human factors researchers. </sec>" @default.
• W4324132706 created "2023-03-15" @default.
• W4324132706 creator A5002116815 @default.
• W4324132706 creator A5002142321 @default.
• W4324132706 date "2023-03-10" @default.
• W4324132706 modified "2023-09-23" @default.
• W4324132706 title "Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis (Preprint)" @default.
• W4324132706 cites W1969761972 @default.
• W4324132706 cites W1988050849 @default.
• W4324132706 cites W2137577228 @default.
• W4324132706 cites W2588309384 @default.
• W4324132706 cites W2757330327 @default.
• W4324132706 cites W2798651188 @default.
• W4324132706 cites W2905811773 @default.
• W4324132706 cites W2951035168 @default.
• W4324132706 cites W2981622154 @default.
• W4324132706 cites W2986485804 @default.
• W4324132706 cites W3013003011 @default.
• W4324132706 cites W3014990364 @default.
• W4324132706 cites W3031856734 @default.
• W4324132706 cites W3124789098 @default.
• W4324132706 cites W3182242133 @default.
• W4324132706 cites W3211048110 @default.
• W4324132706 cites W4293869286 @default.
• W4324132706 cites W4311824882 @default.
• W4324132706 cites W4313232683 @default.
• W4324132706 cites W4317910584 @default.
• W4324132706 cites W4318263917 @default.
• W4324132706 cites W4318618627 @default.
• W4324132706 cites W4318925155 @default.
• W4324132706 cites W4318931874 @default.
• W4324132706 cites W4319083882 @default.
• W4324132706 cites W4319301446 @default.
• W4324132706 cites W4319301505 @default.
• W4324132706 cites W4319341091 @default.
• W4324132706 cites W4319460874 @default.
• W4324132706 cites W4319656339 @default.
• W4324132706 cites W4319662928 @default.
• W4324132706 cites W4319663047 @default.
• W4324132706 cites W4319777976 @default.
• W4324132706 cites W4319868628 @default.
• W4324132706 cites W4320495408 @default.
• W4324132706 cites W4320895630 @default.
• W4324132706 cites W4321366933 @default.
• W4324132706 cites W4322626329 @default.
• W4324132706 cites W4322730935 @default.
• W4324132706 doi "https://doi.org/10.2196/preprints.47184" @default.
• W4324132706 hasPublicationYear "2023" @default.
• W4324132706 type Work @default.
• W4324132706 citedByCount "2" @default.
• W4324132706 countsByYear W43241327062023 @default.
• W4324132706 crossrefType "posted-content" @default.
• W4324132706 hasAuthorship W4324132706A5002116815 @default.
• W4324132706 hasAuthorship W4324132706A5002142321 @default.
• W4324132706 hasConcept C108827166 @default.
• W4324132706 hasConcept C119857082 @default.
• W4324132706 hasConcept C15744967 @default.
• W4324132706 hasConcept C2780586970 @default.
• W4324132706 hasConcept C41008148 @default.
• W4324132706 hasConcept C71104824 @default.
• W4324132706 hasConcept C77805123 @default.
• W4324132706 hasConceptScore W4324132706C108827166 @default.
• W4324132706 hasConceptScore W4324132706C119857082 @default.
• W4324132706 hasConceptScore W4324132706C15744967 @default.
• W4324132706 hasConceptScore W4324132706C2780586970 @default.
• W4324132706 hasConceptScore W4324132706C41008148 @default.
• W4324132706 hasConceptScore W4324132706C71104824 @default.
• W4324132706 hasConceptScore W4324132706C77805123 @default.
• W4324132706 hasLocation W43241327061 @default.
• W4324132706 hasOpenAccess W4324132706 @default.
• W4324132706 hasPrimaryLocation W43241327061 @default.
• W4324132706 hasRelatedWork W2011403129 @default.
• W4324132706 hasRelatedWork W2018160926 @default.
• W4324132706 hasRelatedWork W2104700403 @default.
• W4324132706 hasRelatedWork W2133515697 @default.
• W4324132706 hasRelatedWork W2327857945 @default.
• W4324132706 hasRelatedWork W2365810446 @default.
• W4324132706 hasRelatedWork W2748952813 @default.
• W4324132706 hasRelatedWork W2899084033 @default.
• W4324132706 hasRelatedWork W4281681791 @default.
• W4324132706 hasRelatedWork W4318769188 @default.
• W4324132706 isParatext "false" @default.
• W4324132706 isRetracted "false" @default.
• W4324132706 workType "article" @default.