When a Chatbot Smiles at You: The Psychological Mechanism Underlying the Effects of Friendly Language Use by Product Recommendation Chatbots.

Based on the computers are social actors theory and social presence theory, the current study investigates the psychological mechanism by which the use of friendly language by a personalized product recommendation chatbot influences product attitudes. Results indicated that the effect of the friendly chatbot on more positive product attitudes was sequentially mediated by social presence and user satisfaction. Previous experience with product recommendation chatbots was found to moderate the serial mediation effects. Furthermore, the current study found that a friendly chatbot led to higher rates of contact information disclosure by consumers. Theoretical and practical implications are discussed.

Fear of Missing Out and Consumer Happiness on Instagram: A Serial Mediation of Social Media Influencer-Related Activities.

Mounting research shows negative psychological effects for social media and recognizes fear of missing out (FoMO) as a key driver of social media use. This article focuses on social media influencers (SMIs) and investigates potentially positive forms of usage on psychological well-being (i.e., happiness), including how FoMO impacts consumer response to SMIs. A serial mediation model using survey data (N = 604) indicates SMI-related activities are positively associated with a consumer's happiness. Furthermore, SMI-related activities jointly and positively mediate the relationship between FoMO and happiness. Individuals higher in FoMO more frequently visited SMIs' account profiles leading to more frequent purchasing of products recommended by SMIs, which in turn positively influenced happiness. Implications of the findings are discussed with suggestions for future research.

Space-Time Conditional Autoregressive Modeling to Estimate Neighborhood-Level Risks for Dengue Fever in Cali, Colombia.

Vector-borne diseases affect more than 1 billion people a year worldwide, causing more than 1 million deaths, and cost hundreds of billions of dollars in societal costs. Mosquitoes are the most common vectors responsible for transmitting a variety of arboviruses. Dengue fever (DENF) has been responsible for nearly 400 million infections annually. Dengue fever is primarily transmitted by female Aedes aegypti and Aedes albopictus mosquitoes. Because both Aedes species are peri-domestic and container-breeding mosquitoes, dengue surveillance should begin at the local level-where a variety of local factors may increase the risk of transmission. Dengue has been endemic in Colombia for decades and is notably hyperendemic in the city of Cali. For this study, we use weekly cases of DENF in Cali, Colombia, from 2015 to 2016 and develop space-time conditional autoregressive models to quantify how DENF risk is influenced by socioeconomic, environmental, and accessibility risk factors, and lagged weather variables. Our models identify high-risk neighborhoods for DENF throughout Cali. Statistical inference is drawn under Bayesian paradigm using Markov chain Monte Carlo techniques. The results provide detailed insight about the spatial heterogeneity of DENF risk and the associated risk factors (such as weather, proximity to Aedes habitats, and socioeconomic classification) at a fine level, informing public health officials to motivate at-risk neighborhoods to take an active role in vector surveillance and control, and improving educational and surveillance resources throughout the city of Cali.

Psychology of communication technology use in the workplace.

It is generally understood that employees in organizations misuse technology in specific ways--by sending and receiving personal email, frequenting chat rooms, and using the Web for non-work-related reasons. However, little research has focused on what motivates this type of use. The present study extends existing communication technology and organizational literatures by going beyond usage assessments and examining how an employee's psychological state influences motivations for non-work-related communication technology use during company time.

Worried and wired: effects of health anxiety on information-seeking and health care utilization behaviors.

Although online health information-seeking has been widely studied and findings suggest a variety of motivations behind an individual's health information-seeking behavior, little is known about how this information influences health utilization behaviors. Thus, the current study investigates the relationship between online health information seeking and health care utilization such as visiting a doctor. Additionally, this project expands the literature by examining the moderating role of health anxiety. Results suggest that an individual's level of health anxiety moderates the relationship between online health information seeking and health care utilization decisions.

Creating a framework for online cancer services research to facilitate timely and interdisciplinary applications.

Researchers from a wide array of disciplines have conducted engaging and informative studies in recent years concerning the use of the Internet for cancer-related services. Typically, these publications provide key data related to utilization statistics, how online information can be used, what users want or expect from the Internet, outcomes or impacts, and quality and credibility of websites. These are important themes for understanding online cancer issues. However, this special issue of the Journal of Medical Internet Research seeks to recast these themes in a way that will facilitate pragmatic and applied means of employing data in prescriptive and interdisciplinary ways. This issue includes 14 papers that exemplify applications for the research framework recommended in this paper. This framework includes an expanded focus on the development and design of online cancer services, online consumer behavior/communication, behavior change, and living with cancer.

Teen internet use: relating social perceptions and cognitive models to behavior.

In order to provide Internet researchers with a better understanding of how and why individuals adopt some online behaviors and not others, this study targets teenage Internet users to examine the relationships among social influence and self-regulatory models as mechanisms to the behavior of Internet use. Information, entertainment, and social online activities are presented as three distinct uses of the Internet so corresponding behavioral models of adoption could be tested. Results from 173 high school students indicate that direct and vicarious social perceptions significantly influence self-regulation, which subsequently has an effect on use. Using path analyses to test the direct and indirect theoretical relationships among these constructs, the data indicates that while clearly fitting two of the three models tested, three unique processes to adoption are evident.

Internet gratifications and internet addiction: on the uses and abuses of new media.

Internet addiction has been identified as a pathological behavior, but its symptoms may be found in normal populations, placing it within the scope of conventional theories of media attendance. The present study drew upon fresh conceptualizations of gratifications specific to the Internet to uncover seven gratification factors: Virtual Community, Information Seeking, Aesthetic Experience, Monetary Compensation, Diversion, Personal Status, and Relationship Maintenance. With no parallel in prior research, Virtual Community might be termed a "new" gratification. Virtual Community, Monetary Compensation, Diversion, and Personal Status gratifications accounted for 28% of the variance in Internet Addiction Tendency. The relationship between Internet addiction and gratifications was discussed in terms of the formation of media habits and the distinction between content and process gratifications.

Intra- and interseasonal autoregressive prediction of dengue outbreaks using local weather and regional climate for a tropical environment in Colombia.

Dengue fever transmission results from complex interactions between the virus, human hosts, and mosquito vectors-all of which are influenced by environmental factors. Predictive models of dengue incidence rate, based on local weather and regional climate parameters, could benefit disease mitigation efforts. Time series of epidemiological and meteorological data for the urban environment of Cali, Colombia are analyzed from January of 2000 to December of 2011. Significant dengue outbreaks generally occur during warm-dry periods with extreme daily temperatures confined between 18°C and 32°C--the optimal range for mosquito survival and viral transmission. Two environment-based, multivariate, autoregressive forecast models are developed that allow dengue outbreaks to be anticipated from 2 weeks to 6 months in advance. These models have the potential to enhance existing dengue early warning systems, ultimately supporting public health decisions on the timing and scale of vector control efforts.

Portrayals of overweight and obese individuals on commercial television.

OBJECTIVES: This study examined the distribution and individual characteristics of body types on prime-time television. METHODS: Five episodes of each of the 10 top-rated prime-time fictional programs on 6 broadcast networks during the 1999-2000 season were quantitatively analyzed. RESULTS: Of 1018 major television characters, 14% of females and 24% of males were overweight or obese, less than half their percentages in the general population. Overweight and obese females were less likely to be considered attractive, to interact with romantic partners, or to display physical affection. Overweight and obese males were less likely to interact with romantic partners and friends or to talk about dating and were more likely to be shown eating. CONCLUSIONS: Overweight and obese television characters are associated with specific negative characteristics.