scholarly journals Zooming into Real-Life Extraversion – how Personality and Situation Shape Sociability in Social Interactions

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Simon M. Breil ◽  
Katharina Geukes ◽  
Robert E. Wilson ◽  
Steffen Nestler ◽  
Simine Vazire ◽  
...  
Keyword(s):  
Social Interactions ◽  
Specific Interaction ◽  
Real Life ◽  
Interaction Effects ◽  
Behavioral Models ◽  
Social Perspective ◽  
Sampling Studies ◽  
Social Perspectives ◽  
Event Based ◽  
Main Effects

What predicts sociable behavior? While main effects of personality and situation characteristics on sociability are well established, there is little evidence for the existence of person-situation interaction effects within real-life social interactions. Moreover, previous research has focused on self-reported behavior ratings, and less is known about the partner’s social perspective, i.e. how partners perceive and influence an actor’s behavior. In the current research, we investigated predictors of sociable behavior in real-life social interactions across social perspectives, including person and situation main effects as well as person-situation interaction effects. In two experience-sampling studies (Study 1: N = 394, US, time-based; Study 2: N = 124, Germany, event-based), we assessed personality traits with self- and informant-reports, self-reported sociable behavior during real-life social interactions, and corresponding information on the situation (categorical situation classifications and dimensional ratings of situation characteristics). In Study 2, we additionally assessed interaction partner-reported actor behavior. Multilevel analyses provided evidence for main effects of personality and situation features, as well as small but consistent evidence for person-situation interaction effects. First, extraverts acted more sociable in general. Second, individuals behaved more sociable in low-effort/positive/low-duty situations (vs. high-effort/negative/high-duty situations). Third, the latter was particularly true for extraverts. Further specific interaction effects were found for the partner’s social perspective. These results are discussed regarding their accordance with different behavioral models (e.g., Trait Activation Theory) and their transferability to other behavioral domains.

scholarly journals Zooming into Real-Life Extraversion – How Personality and Situation Shape Sociability in Social Interactions

2016 ◽  
Author(s):  
Simon Mats Breil ◽  
Katharina Geukes ◽  
Robert Edmund Wilson ◽  
Steffen Nestler ◽  
Simine Vazire ◽  
...  
Keyword(s):  
Social Interactions ◽  
Specific Interaction ◽  
Real Life ◽  
Interaction Effects ◽  
Complex Interplay ◽  
Sampling Studies ◽  
Social Perspectives ◽  
Context Shape ◽  
Event Based ◽  
Main Effects

Here, we provide you with supplemental material (additional tables, data, R-Codes) and a Preprint to the manuscript "Zooming into Real-Life Extraversion - How Personality and Context Shape Sociability in Social Interactions" by Breil et al. (under review). Abstract:What predicts sociable behavior? While main effects of personality and situation characteristics on sociability are well established, the determinants of sociable behavior within real-life social interactions are understudied. Moreover, although such effects are often hypothesized, there is to date little evidence of person-situation interaction effects. Finally, previous research focused on self-reported behavior ratings, and less is known on the partner’s social perspective, i.e. how partners perceive and influence an actor’s behavior. In the current research we investigated predictors of sociable behavior in real-life social interactions across social perspectives, including person and situation main effects as well as person-situation interaction effects. In two experience-sampling studies (Study 1: N = 394, US, time-based; Study 2: N = 124, Germany, event-based), we assessed personality traits with self- and informant reports, self-reported sociable behavior during real-life social interaction, and corresponding information on the situation (dimensional ratings of situation characteristics and categorical situation classifications). In Study 2, we additionally assessed interaction partner-reported behavior. Multilevel analyses provided consistent evidence for main effects of personality and situation features, and for person-situation interaction effects. First, extraverts acted more sociable in general. Second, individuals behaved more sociable in hedonic/positive/low-duty situations (vs. eudaimonic/negative/high-duty situations). Third, the latter was particularly true for extraverts. Further specific interaction effects were found for the other social perspectives. These results are discussed regarding the complex interplay of persons and situations in shaping human behavior.

Exploring Weather Data to Predict Activity Attendance in Event-based Social Network

2021 ◽  
Vol 15 (2) ◽  
pp. 1-25
Author(s):  
Jifeng Zhang ◽  
Wenjun Jiang ◽  
Jinrui Zhang ◽  
Jie Wu ◽  
Guojun Wang
Keyword(s):  
Real Life ◽  
Prediction Performance ◽  
Weather Data ◽  
Gradient Boosting ◽  
User Interest ◽  
Weather Factors ◽  
Event Duration ◽  
Outdoor Activities ◽  
Weather Factor ◽  
Event Based

Event-based social networks (EBSNs) connect online and offline lives. They allow online users with similar interests to get together in real life. Attendance prediction for activities in EBSNs has attracted a lot of attention and several factors have been studied. However, the prediction accuracy is not very good for some special activities, such as outdoor activities. Moreover, a very important factor, the weather, has not been well exploited. In this work, we strive to understand how the weather factor impacts activity attendance, and we explore it to improve attendance prediction from the organizer’s view. First, we classify activities into two categories: the outdoor and the indoor activities. We study the different ways that weather factors may impact these two kinds of activities. We also introduce a new factor of event duration. By integrating the above factors with user interest and user-event distance, we build a model of attendance prediction with the weather named GBT-W , based on the Gradient Boosting Tree. Furthermore, we develop a platform to help event organizers estimate the possible number of activity attendance with different settings (e.g., different weather, location) to effectively plan their events. We conduct extensive experiments, and the results show that our method has a better prediction performance on both the outdoor and the indoor activities, which validates the reasonability of considering weather and duration.

Exploring the Role of Interaction Effects in Visual Conjoint Analysis

2015 ◽  
Vol 137 (9) ◽  
Author(s):  
Brian Sylcott ◽  
Jeremy J. Michalek ◽  
Jonathan Cagan
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Consumer Preference ◽  
Interaction Effects ◽  
Fractional Factorial ◽  
Main Effects ◽  
Full Factorial ◽  
Biased Estimates ◽  
Data Requirements

In conjoint analysis, interaction effects characterize how preference for the level of one product attribute is dependent on the level of another attribute. When interaction effects are negligible, a main effects fractional factorial experimental design can be used to reduce data requirements and survey cost. This is particularly important when the presence of many parameters or levels makes full factorial designs intractable. However, if interaction effects are relevant, main effects design can create biased estimates and lead to erroneous conclusions. This work investigates consumer preference interactions in the nontraditional context of visual choice-based conjoint analysis, where the conjoint attributes are parameters that define a product's shape. Although many conjoint studies assume interaction effects to be negligible, they may play a larger role for shape parameters. The role of interaction effects is explored in two visual conjoint case studies. The results suggest that interactions can be either negligible or dominant in visual conjoint, depending on consumer preferences. Generally, we suggest using randomized designs to avoid any bias resulting from the presence of interaction effects.

Learning Real-Life Lessons From Online Games

2010 ◽  
Vol 6 (1) ◽  
pp. 17-37 ◽  
Author(s):  
Patricia G. Lange
Keyword(s):  
Social Interaction ◽  
Social Interactions ◽  
Interdisciplinary Research ◽  
Economic Value ◽  
Real Life ◽  
Online Games ◽  
Technical Knowledge ◽  
Life Lessons ◽  
Research Questions ◽  
Scholarly Attention

Games have received increased scholarly attention due to the economic value they generate. Yet, some studies still conceptualize games as ‘‘virtual’’ realms that are theoretically distinct from ‘‘real world’’ experiences. Based on an ethnographic investigation of two online, text-based gaming environments, this study analyzes dynamics such as technical acculturation, access to technical knowledge, and opportunities for self-expression by studying social interaction that occurred in non-revenue-generating games. Frameworks that focus on dynamics such as in-game conversation in broader game-centric domains or ecologies should be considered to accommodate a wider variety of gaming forms and related interdisciplinary research questions. Different games have different consequences, and it is important to understand the varying consequential contexts that games afford. Whether or not the consequences may be measured economically, it is nevertheless important to consider how social interactions may complicate forms of self-expression in ways that impact the human spirit.

Abstract 12621: Gender Differences Among Implantable Cardioverter Defibrillators Recipients in the Setting of Primary Prevention

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Eloi Marijon ◽  
Rui Providencia ◽  
Pascal Defaye ◽  
Didier Klug ◽  
Daniel Gras ◽  
...  
Keyword(s):  
Primary Prevention ◽  
Dilated Cardiomyopathy ◽  
Specific Interaction ◽  
Severe Heart Failure ◽  
Real Life ◽  
Functional Class ◽  
Cardiac Resynchronization ◽  
Implantable Cardioverter Defibrillators ◽  
Icd Implantation ◽  
Cardioverter Defibrillators

Background: Data regarding sex specificities in the use, benefits and complications of implantable cardioverter-defibrillators (ICDs) in primary prevention in the real-world European setting are sparse. Methods: Using a large multicentric cohort of consecutive patients referred for ICD implantation for primary prevention (2002-2012), in the setting of coronary artery disease or dilated cardiomyopathy, we examined potential sex differences in subjects’ characteristics and outcomes. Results: Of 5,539 patients, only 837 (15.1%) were women and 53.8% received cardiac resynchronization therapy (CRT-D). Compared to men, women presented a significantly higher proportion of dilated cardiomyopathy (60.2% vs. 36.2%, P120ms: 74.6% vs. 68.5%, P=0.003), higher New York Heart Association functional class (2.5±0.7 vs. 2.4±0.7, P=0.003) and lower prevalence of atrial fibrillation (18.7% vs. 24.9%, P<0.001). During a 16,786 patient-years follow-up, overall, fewer appropriate therapies were observed in women (HR = 0.59, CI95% 0.45-0.76; P<0.001). By contrast, no sex-specific interaction was observed for inappropriate shocks (OR for women = 1.00, 95%CI 0.74-1.35, P=0.997) and mortality (HR = 0.87; 95%CI 0.66-1.15, P=0.324), with similar patterns of cause of deaths. Conclusion: In our real life registry, women account for the minority of ICD recipients. While female ICD recipients present with features of more severe heart failure in the setting of primary prevention of sudden cardiac death, we observed they have a 40% lower incidence of appropriate therapies.

Streckziehen keramischer Grünfolien*/Stretch drawing of ceramic green tapes - Investigation of the factors influencing to the stretch drawing capacity of ceramic green tapes

2016 ◽  
Vol 106 (11-12) ◽  
pp. 847-850
Author(s):  
Q. Spiller ◽  
M. Baumeister ◽  
J. Prof. Fleischer
Keyword(s):  
Statistical Methods ◽  
Three Dimensional ◽  
Interaction Effects ◽  
Powder Technology ◽  
Factors Influencing ◽  
Statistische Methoden ◽  
Main Effects

Im Bereich der Pulvertechnologie stellt das Streckziehen keramischer Grünfolien eine wirtschaftliche Möglichkeit dar, dreidimensionale Halbzeuge herzustellen. Im Rahmen des AiF-Projekts „Inka“ werden die Einflüsse der Prozess- und Geometrieparameter auf die Streckziehfähigkeit von keramischen Grünfolien aus dem Werkstoff ZrO2 experimentell untersucht. Dabei kommen statistische Methoden zur Ermittlung der Haupt- und Wechselwirkungseffekte zum Einsatz. &nbsp; In the field of powder technology stretch drawing is an economic way to produce three-dimensional semi-finished products. In the context of the AIF Project “Inka“ the influences of process and geometry parameters are experimental examined on stretch drawing capacity of ceramic green tapes of material ZrO2. Statistical methods are used to find out main effects and interaction effects.

scholarly journals Main Effects and Interaction Effects of Bank Ownership Types and Bank Core Capital Category to the Bank NPL Performance

2021 ◽  
Vol 5 (1) ◽  
pp. 39-50
Author(s):  
Fongnawati Budhijono
Keyword(s):  
Financial Services ◽  
Secondary Data ◽  
Interaction Effects ◽  
Financial Reports ◽  
Management Capability ◽  
Main Effect ◽  
Bank Ownership ◽  
Asset Quality ◽  
Main Effects ◽  
Ownership Types

Credit management capability is seen as a crucial aspect for banks sustainability. The variable that is directly related to bank credit risk is a non-performing loan (NPL) which is commonly used to assess the asset quality of a bank. The purpose of this research is to analyze main effects and interaction effects of  bank ownership types and bank core capital category (BUKU) to the bank NPL performance. The study was conducted using secondary data obtained from bank quarterly reports from the Financial Services Authority (OJK) through the website ojk.go.id, bank financial reports, and infobank magazine. Bank’s performance in the classification of bank ownership types and bank core capital category were evaluated with respect to bank’s  NPL which in this case is used as  indicator of the bank’s performance. Tests were performed using TWO WAY ANOVA and  Post Hoc Test. The findings of this study found that the main effect type of bank ownership had a significant effect on the performance of NPL management, the main effect of banks’ BUKU had no significant effect on the performance of NPL management and the interaction effect of bank type and banks’ BUKU had a significant effect on the performance of NPL management.  

An approach towards decentralized control of cooperating non-autonomous multiple robots

Robotica ◽  
2000 ◽  
Vol 18 (5) ◽  
pp. 495-504 ◽  
Author(s):  
Khalid Munawar ◽  
Masayoshi Esashi ◽  
Masaru Uchiyama
Keyword(s):  
Decentralized Control ◽  
Degrees Of Freedom ◽  
Real Life ◽  
Robotic Systems ◽  
Present System ◽  
Multiple Robots ◽  
Experimental Implementation ◽  
Control Scheme ◽  
The Common ◽  
Event Based

This paper introduces an event-based decentralized control scheme for the cooperation between multiple manipulators. This is in contrast to the common practice of using only centralized controls for such cooperation which, consequently, greatly limit the flexibility of robotic systems. The manipulators used in the present system are very simple with only two degrees of freedom, while even one of them is passive. Moreover these manipulators use very few and commonly available sensors only. Computer simulations indicated the applicability of the event-based decentralized control scheme for multi-manipulator cooperation, while real-life experimental implementation has proved that the proposed decentralized control scheme is fairly applicable for very simple and even under-actuated systems too. Hence, this work has opened new doors towards further research in this area. The proposed control scheme is expected to be equally applicable for any mobile or immobile multi-robotic system.

scholarly journals Frankly, We Do Give a Damn

2017 ◽  
Vol 8 (7) ◽  
pp. 816-826 ◽  
Author(s):  
Gilad Feldman ◽  
Huiwen Lian ◽  
Michal Kosinski ◽  
David Stillwell
Keyword(s):  
Social Interactions ◽  
Positive Relationship ◽  
Real Life ◽  
Linguistic Analysis ◽  
The Other ◽  
Aggregate Level ◽  
Individual Level ◽  
Common Causes ◽  
The Individual ◽  
The Relationship

There are two conflicting perspectives regarding the relationship between profanity and dishonesty. These two forms of norm-violating behavior share common causes and are often considered to be positively related. On the other hand, however, profanity is often used to express one’s genuine feelings and could therefore be negatively related to dishonesty. In three studies, we explored the relationship between profanity and honesty. We examined profanity and honesty first with profanity behavior and lying on a scale in the lab (Study 1; N = 276), then with a linguistic analysis of real-life social interactions on Facebook (Study 2; N = 73,789), and finally with profanity and integrity indexes for the aggregate level of U.S. states (Study 3; N = 50 states). We found a consistent positive relationship between profanity and honesty; profanity was associated with less lying and deception at the individual level and with higher integrity at the society level.

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