Showing papers in "Computers in Human Behavior in 2019"

TL;DR: Findings show that a high level of message interactivity compensates for the impersonal nature of a chatbot that is low on anthropomorphic visual cues, and identifying the agent as human raises user expectations for interactivity.

TL;DR: The findings illustrate that individuals are motivated by the utilitarian benefits, symbolic benefits and social benefits provided by voice assistants, and the results found that hedonic benefits only motivate the use of in-home voice assistants in smaller households.

TL;DR: A novel Deep Learning based approach to detect emotions - Happy, Sad and Angry in textual dialogues using semi-automated techniques to gather large scale training data with diverse ways of expressing emotions to train the model.

TL;DR: A discussion on the applications of social media big data analytics is provided by highlighting the state-of-the-art techniques, methods, and the quality attributes of various studies by comparing possible big data Analytics techniques and their quality attributes.

TL;DR: The research introduces a new set of augmented reality attributes, namely, AR novelty, AR interactivity and AR vividness and establishes their influence on technology acceptance attributes of perceived ease of use, usefulness, enjoyment and subjective norms.

TL;DR: The results indicated that VRS amplified flow experience via vividness, interactivity, and telepresence to the greater extent than the traditional medium (2-D screen).

TL;DR: An in-depth analysis of 22 studies on automatic cyberbullying detection is conducted, complemented by an experiment to validate current practices through the analysis of two datasets and indicates that cyberbullies is often misrepresented in the literature, leading to inaccurate systems that would have little real-world application.

TL;DR: Type of social media use, body image dimension, country grouping, and age were all found to be significant moderators of this relationship and Strengths and limitations of the meta-analysis, as well as future directions for this line of research are discussed.

TL;DR: It is argued that algorithmic affordance offers a distinctive perspective on the conceptualization of algorithmic process and its affordance with user perception, invariant properties, and contextuality.

TL;DR: Social-oriented digital assistants lead to superior social outcomes for older users with high Internet competency, who need less task-related assistance, and low-competency older users showed significantly superior cognitive and functional outcomes when the digital assistant employed a task-oriented interaction style.

TL;DR: Examination of why chatbots are not yet a substantial instrument for language learning engagement/practice, and direction for future practice and chatbot development, indicated that prior interest in human conversation partners was the best single predictor of future interest in chatbot conversations.

TL;DR: This study provided important insights from crowd intelligence and revealed trends analysis about the recent O2O development in different language regions and compared the bilingual text mining results according to the categories of company, region, service Apps and operation model.

TL;DR: The research finds that attitudes towards organizations that use AI in the recruitment process, significantly influences the likelihood that potential candidates will complete the application process and that organizations do not need to spend money on either hiding their use of AI or reducing the anxiety levels of potential candidates.

TL;DR: Results confirm and extend emergent research in parenting styles, carried out in Spain and other European and Latin-American countries, showing that indulgent parenting, characterized by the use of reasoning and warmth practices, can act as a protective factor for both traditional bullying and cyberbullying victimization.

TL;DR: Examination of factors affecting the willingness to provide privacy information based on the privacy calculus theory in several IoT services; healthcare, smart home and smart transportation indicates that people do not pay much attention to perceived privacy risk when providing privacy information for a better personalized service.

TL;DR: It seems likely that much of the relationship is driven by a common underlying tendency to experience anxiety, negative emotions, and a lack of control, combined with a tendency to engage in maladaptive coping and compulsive behavior.

TL;DR: The results obtained from the partial least squares analysis show that multimedia technology positive affects the user's perception of fit in learning, which in turn positively affects the adoption of multimedia technology for learning.

TL;DR: Six studies conducted by interdisciplinary teams’ use of various trace methodologies using traditional statistical techniques as well as educational data-mining procedures to detect, measure, and infer cognitive, metacognitive, and social processes related to regulating the self and others across several tasks, domains, ages, and contexts are reported.

TL;DR: In this article, a qualitative study was conducted to identify a customer value proposition (CVP) for the sharing economy business model and to compare the competitive advantages of CVPs.

TL;DR: The proposed SENS approach is examined on data produced in collaborative activities performed in a massive open online course (MOOC) delivered via a major MOOC platform and suggests SNA and ENA produce complementary results which can explain collaboration processes that shaped the creation of social ties and that were associated with different network roles.

TL;DR: This meta-analysis synthesise and integrate all the earlier literature and information available on gamification and serious games, assessing the current state-of-the-art in the field, and presents a theoretical model that will be of value to future gamification studies.

TL;DR: An additional alternative motivational factor for social media use, that of need to control relationships, content, presentation and impressions, may be underlying FoMO and nomophobia and could therefore be responsible for increasing engagement or compulsive use.

TL;DR: Intrusiveness is the most important risk factor in determining mobile users' intentions to accept MLBA and therefore establishing effective means of minimising the perceived intrusiveness of MLBA can be expected to have the greatest impact on achieving effective communications with mobile phone users.

TL;DR: The findings could help firms better manage their social media tools in the context of social media communication and could help companies to gain competitive advantages.

TL;DR: This study, which is the first to investigate chatbot advertising, may hold important managerial implications and the relation between perceived intrusiveness and patronage intentions was investigated.

TL;DR: It is found that VR has a negative impact on satisfaction that is moderated by perceived assortment size, and that VR elicits both utilitarianism and hedonism, which mediate the impact of the channel on store satisfaction differently but equally.

TL;DR: Attitudes towards robots in the European Union between 2012 and 2017 showed that public opinions regarding robots exhibited a marked negative trend, particularly strong for robots at the workplace, which are, despite the drop, still more positively evaluated than robots performing surgeries or autonomous cars.

TL;DR: The results show that vlogs with high levels of audience participation are more likely to increase the acceptance of the brand's endorsement via enhanced credibility perceptions among viewers, and time should be spent choosing vloggers who are active in the online community.

TL;DR: Examining whether news recommendation engines contribute to filter bubbles and fragmented news audiences by asking a diverse set of real-world participants to search Google News for news about Hillary Clinton and Donald Trump during the 2016 U.S. presidential campaign found a very high degree of homogeneity and concentration in the news recommendations.

TL;DR: The impact of Cognitive absorption on smartphone addiction is mediated by addiction to SNS services, and users addicted to smartphones and social networking services experience higher levels of cognitive absorption.