2,418 research outputs found

    Self-Regulation, Mind Wandering, and Cognitive Absorption During Technology Use

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    Interaction with technology involves not only externally directed cognition, but also internally directed cognition. Although the information systems (IS) field has made a significant progress toward understanding of how individuals use technology, more emphasis has been given to goal-directed external activity that requires focused external attention and less or no emphasis on goal-directed internal activity called mind wandering. Drawing upon the emerging cognitive neuroscience literature, the current research investigates the relationships between self-regulation, mind wandering, and cognitive absorption. Specifically, we hypothesize there is a U-shape relationship between mind wandering and cognitive absorption. Based on a cross-sectional study of 323 individuals, the results reveal that the relationship between mind wandering and cognitive absorption is curve-linear. As mind wandering increases, cognitive absorption decreases to a certain point, after which, cognitive absorption increases as mind wandering increases. The results also show self-regulation has a significant effect on mind wandering and cognitive absorption

    A vision of Orkut's users: studying this phenomenon through cognitive absorption

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    This study aims to identify the influence that Cognitive Absorption has on the intention of using Orkut. It happens due to the fact that Cognitive Absorption is related to the state of deep involvement users carry with an individual task, performed with the support of Information Technology (IT); it corroborates the study on this virtual community. Therefore, through descriptive research with a quantitative character and with the aid of structural equations, 645 Orkut users were investigated. After the identification of suitability of all indexes tested and fit for both constructs and the final model. The conclusion drawn is that Cognitive Absorption explains the 41% intention of using Orkut, emphasizing that for this kind of IT the Cognitive Absorption seems perfectly adequate to measure the Intention of Use

    Psychophysiological Measures of Cognitive Absorption

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    Cognitive absorption (CA) corresponds to a state of deep involvement with a software program. CA has widely been studied over the last decade in the IT literature using psychometric instruments. Measuring ongoing CA with psychometric tools requires interrupting a subject’s ongoing usage behavior to self-evaluate their level of absorption. Such interruptions may alter or contaminate the very CA state the researcher us attempting to measure. To circumvent this problem, we are investigating the effectiveness of psychophysiological measures of cognitive absorption. This paper reports preliminary results from an ongoing research project by looking at the correlation between electrodermal activity (EDA) and several dimensions of the CA construct

    LMS DESIGN INTERVENTIONS FORENHANCING THE INTENTION TO CONTINUE USE

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    Learners, according to the literature, believe that the use of a Learning Management System increases self-regulated behaviour, but even so, a significant number of them have no positive intention to use one. The goal of this thesis is to investigate this mismatch and to propose and test the use of Perceived Learning Self-regulation and Perceived Cognitive Absorption as predictors of the intention to use an LMS and to design and test interventions that improve the Continued Intention to Use an LMS that enhances Perceived Learning Self-Regulation and Perceived Cognitive Absorption. Three intervention tools were designed on a theoretical basis and then implemented: herd behaviour was the basis for Tracking Technology, goal setting was the basis for Visualised Competency, and social learning theory was the basis for Social Media. The intervention designs were based on data from interviews, focus group discussions and online collaboration with 10 teachers. They were implemented on a computer science module with 400 registered students. Two questionnaires were circulated to examine the effects of these interventions on the PLSR, PCA and CIU (151 students) and assess their opinions (149 students). All three interventions increased students' perceived cognitive absorption and perceived learning self-regulation and increased their continued intention to use a learning management system. Moreover, perceived cognitive absorption was found to be a critical antecedent to perceived learning self-regulation, which plays a mediating role between perceived cognitive absorption and their continued intention to use a learning management system. The survey analysis reported a positive perception overall among the students of the proposed interventions and the LMS with the given technology. Interaction analysis showed the continuous and consistent use of the intervention by the learners. The main contribution to knowledge here is a new framework for interventions that can improve students perceived cognitive absorption and thereby their continued intention to use an LMS. This research integrated the theories of experience flow, self-regulation, herd behaviour and goal setting to explain the potential effects of tracking technology, visualised competency, and social media on the perceived learning self-regulation and perceived cognitive absorption, which improved the continued intention to use a learning management system. According to the Information System Success Model, positive attitudes and the perception of benefits can be significant predictors of the intention to use a certain technology. Thus, Perceived Learning Self-Regulation and Perceived Cognitive Absorption were used to propose predictors of students’ continued intention to use a learning management system, instead of their perception of and attitude to possible benefits. For this reason, the present research aimed to develop a framework that introduced, evaluated, and examined the impact of interventions on improving learners perceived cognitive absorption and perceived learning self-regulation as well as affecting learners’ continued intention to use in LMS. To fulfil this aim, the main research question was, “How to improve students’ Continued Intention to Use (CIU) an LMS by improving their perceived learning self-regulation and perceived cognitive absorption?” The results suggest that all interventions had a significant effect on the perceived cognitive absorption, perceived learning self-regulation and continue intention to use the LMS. perceived cognitive absorption was found to be a critical antecedent to the perceived learning self-regulation, which plays the mediating role between perceived cognitive absorption and continue intention to use LMS. The survey analysis also reported overall positive perceptions among students of the use of these interventions and the LMS with the technology. By using interaction analysis, the intervention showed continuous and consistent use among learners. The main contribution to knowledge, as noted above, is a new framework to propose interventions that can improve the perceived cognitive absorption, and in turn, the continue intention to use can be improved. This research integrated experience flow, self-regulation, herd behaviour and goal-setting theories to explain the potential effects of the tracking tool, visualised competency, and social media on the perceived learning self-regulation and perceived cognitive absorption, which improved the learners continue intention to use learning management system

    Impact of Smartphone Multitasking on Walking Behavior: Is Cognitive Absorption the Key?

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    Smartphones have revolutionized multitasking across various aspects of life but can also pose risks, particularly to pedestrian safety. Research shows pedestrians\u27 smartphone use during road crossings contributes to accidents and fatalities. Studies reveal that slower walking speed and decreased awareness due to smartphone multitasking heightens collision risks. This study investigates the relation between smartphone multitasking behavior and walking behavior of pedestrians, exploring the mediating role of deep task engagement or cognitive absorption. The experiment utilized a smart garment to capture real time physiological data along with self-report measures to gauge the impacts of smartphone multitasking. Participants undertook tasks with different multitasking levels while walking in a gymnasium. Results suggest certain task types increase cognitive absorption, highlighting the need for pedestrian caution during specific multitasking activities. Furthermore, heightened cognitive absorption reduces walking cadence. This study enhances comprehension of cognitive absorption during smartphone multitasking, shedding light on its influence on walking behavior

    To Slack or Not to Slack: Internet Usage in the Classroom

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    This paper investigates cyber-slacking with Internet technologies in the classroom. Rooted in Lewin\u27s Field Theory, we develop a model linking external forces (i.e., social norms, distraction by other students\u27 cyber-slacking, and awareness of instructor monitoring) and internal forces (i.e., cognitive absorption with Internet technologies and multitasking) to an individual\u27s behavior (i.e., intent to cyber-slack). Using data collected from 451 students, we found social norms, multitasking, and cognitive absorption contributed to the intent to cyber-slack. Further, we found cognitive absorption with Internet technologies mediated the relationship between multitasking and intent to cyber-slack. The paper concludes with a discussion of implications for teaching, course design, and research

    Cognitive absorption and the behavioral intention to use business intelligence: Determinants and influence of cognitive absorption

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    Introduction: In the last decade Business intelligence became increasingly important for organizations to adopt in order to compete in highly changing industries. The main purpose of the business intelligence system is to enable users to make and execute decisions better and faster. However, the success of business intelligence is not guaranteed. Users are defined as one of the main sources of the potential issues, since they are the ones who should incorporate the new system into their work environment. Users interact with the system via business intelligence application, and for that reason, it is important to investigate users' behavioral intentions towards the application. In order to investigate users intentions, several theoretical constructs have been developed, mostly from the technology acceptance research. The main one being explored in this study is cognitive absorption. Purpose: The purpose of this study is to test the theory presented in Agarwal and Karahanna (2000) in the new setting. The authors’ theory proved the influence of the cognitive absorption in the context of the World Wide Web. We will use their theory in order to investigate the determinants and the influence of the cognitive absorption in the business intelligence context. Method: This study is explanatory in nature. We used survey methodology - questionnaire for the hypotheses testing. We tested seven hypotheses based on the theoretical model adapted from the literature. Several statistical analyses have been conducted for measurement and hypotheses testing, and they have been performed in SPSS and SmartPLS software packages. Conclusion: The results of the analysis identified playfulness as the significant determinant of the cognitive absorption with the business intelligence application. Furthermore, cognitive absorption proved to have the significant direct as well as indirect influence on the behavioral intention to use the business intelligence application

    What Drives the User’s Continuous Usage Intention of OTT Video Platforms? Identifying the Role of Cognitive Absorption and Perceived Usefulness With the Impact of OTT Content on it

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    Purpose: This study aims to understand the user’s holistic experiences and beliefs about using OTT video platforms. The study adopts the concept of Cognitive Absorption with the impact of OTT content on it to test the user’s perceived usefulness and continuous usage intention of OTT platforms.   Theoretical Framework: The study utilizes cognitive absorption theory along with all its five dimensions in a two-stage hybrid model and tests its overall validity and reliability using partial least square-structural equation modeling.   Design/ Method/ Approach: The study employs a primary data collection methodology in which a survey has been carried out on the respondents who are already active users of OTT platforms.  Data has been collected through questionnaires from the young IT professionals working at Noida (NCR).   Findings: The results of the study confirmed that the user’s continuous usage intention of OTT platforms is strongly influenced by cognitive absorption and perceived usefulness with the impact of content on it.   Research Practical and Social Implications: The study adds significant knowledge to the academic world for utilizing cognitive absorption in the field of OTT. The findings enhance our understanding that Content is one of the most successful attributes of OTT video streaming technology in determining the user’s continuous intention. It provides valuable feedback to the OTT content creators to focus more on the user’s needs and expectations of the content.   Originality/ Value: The proposed research model is the first-ever attempt to examine the impact of Cognitive Absorption affecting the user’s perceived usefulness and continuous intention to adopt OTT.

    Coherence, Richness and Cognitive Absorption in Website Design

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    Kaplan’s theory on environmental preferences can offer a holistic perspective on cognitive absorption in e-commerce website design. Drawing on Kaplan’s theory, this paper proposes that coherence and richness of a website can enhance cognitive absorption of users. The findings from our study not only support the hypotheses, but also suggest that coherence and richness can reach an optimal proportion in website design, after which they are inversely correlated

    Cognitive absorption and behavioural intentions in virtual health communities : a focus on posters

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    Abstract: Purpose - This paper aims at providing a conceptual model that elucidates the role of cognitive absorption in explaining behavioural intentions in virtual health communities. Design/methodology/approach - Data was collected from 361 contributing members of virtual health communities from Gauteng, South Africa using a structured questionnaire. Structural equation modelling using AMOS software was used to analyse the data. Findings - The findings show that cognitive absorption has significant direct positive influence on members’ intentions to continue participating on virtual health community platforms. Cognitive absorption was also found to have indirect influence on behavioural intentions through its influence on members’ attitude. It was also found to play a mediating role on the influence of perceived usefulness and behavioural intention. Research limitations/implications - The study shows the value of linking the flow theory and the technology acceptance model to provide a comprehensive understanding of behavioural intentions in virtual health community forums. Practical Implications - Managers of virtual health communities need to pay attention to experiential aspects of their sites. Success in ensuring that community members are cognitively absorbed is key to the development of positive attitude and intentions towards virtual health community forums. Originality/value - Virtual health communities play a new and growing role in the way health-related information and support is offered and accessed by those in need. Despite their importance, not much research has been done to explain the role of consumer experience on member behaviour on such forums. The study contributes to this understanding by demonstrating the value of cognitive absorption..
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