Continuance intention to use artificial intelligence personal assistant: type, gender, and use experience

Affordance, usefulness, enjoyment, and aesthetics in sustaining virtual reality engagement

“…This suggests that beyond the instrumental benefits of a technology, the experiential and hedonic qualities it offers play a pivotal role in shaping users' overall impressions. This result is consistent with previous research that underscores the role of enjoyment as an intrinsic motivation in using technology 24 , 82 , 90 – 92 . When users find an interface or a platform pleasurable and fun, they are more likely to develop a positive attitude towards it, regardless of its practical functionalities.…”

“…Perceived usefulness is articulated as an individual’s firm belief in the utility offered by a particular technology 16 . This belief acts as a cornerstone for technology adoption and usage across diverse settings, as confirmed by extensive literature 82 – 85 . Apart from acting as a precursor for technology uptake, perceived usefulness is instrumental in molding user attitudes 20 and fortifying the intention to continue using the technology 86 , 87 .…”

“…Our investigation refines the existing paradigm, revealing that in the VR context, perceived usefulness extends its influence beyond attitudes. Not only does it directly shape attitudes, but it also sets the stage for continuance intentions 82 , 87 , 131 , mediated by those very attitudes. Furthermore, the potency of perceived enjoyment in shaping attitudes is clearly demarcated in our findings.…”

“…Perceived enjoyment encapsulates the pleasure derived from employing a specific IT 75 . This intrinsic pleasure, apart from being a source of hedonic value, manifests as a driving force for individuals’ behavioral intentions 82 , 90 – 92 . The continuance intention, or the sustained desire to use a technology, is also propelled by this perception of enjoyment 93 .…”

Exploring chatbot trust: Antecedents and behavioural outcomes

“…To measure the technology acceptance factors, three constructs are used, namely, perceived usefulness [ 117 ], perceived ease of use [ 118 ] and perceived enjoyment [ 52 ]. Secondly, to measure chatbot quality, three constructs - namely information quality [ 64 ], service quality [ 47 ], and interface & design [ 39 , 74 ] are adopted. The third section consists of three constructs, namely perceived risk [ 58 , 119 ], structural assurance [ 61 ], and privacy & security concerns [ 120 ], which measure the risk factors associated with chatbot trust.…”