Interpersonal Interest Research Articles

Sharing luxury consumption on social media platforms: Motive inferences and downstream consequences

AbstractIndividuals are increasingly sharing their consumption activities on social media platforms. However, the inferences people draw from consumption posts are understudied. Three studies showed that observers infer more self‐presentational motives and less self‐expressive motives when they see others post their luxury (vs. nonluxury) consumption on social media. The attributions of more self‐presentational motives and less self‐expressive motives lead observers to perceive the poster as inauthentic and undermine the observers' interpersonal interest in the poster. The negative effects of posting luxury consumption are attenuated when the post content emphasizes competencies (vs. wealth). This work contributes theoretically to the research on self, signaling, and social inferences. The current findings have practical implications for social media users and marketers of luxury products.

Authentic First Impressions Relate to Interpersonal, Social, and Entrepreneurial Success

This article examines how verbal authenticity influences person perception. Our work combines human judgments and natural language processing to suggest verbal authenticity is a positive predictor of interpersonal interest (Study 1: 294 dyadic conversations), engagement with speeches (Study 2: 2,655 TED talks), entrepreneurial success (Study 3: 478 Shark Tank pitches), and social media engagements (Studies 4a–c; N = 387,039 Tweets). We find that communicating authenticity is associated with increased interest in and perceived connection to another person, more comments and views for TED talks, receiving a financial investment from investors, and more social media likes and retweets. Our work is among the first to evaluate how authenticity relates to person perception and manifests naturally using verbal data.

The Positive Effects of Problem-Based Learning (PBL) on Pre-Service Preschool Teachers’ Interpersonal Competence, Empathy, Communication, and Interest in a Course Subject

The Positive Effects of Problem-Based Learning (PBL) on Pre-Service Preschool Teachers’ Interpersonal Competence, Empathy, Communication, and Interest in a Course Subject

Personalized clothing recommendation combining user social circle and fashion style consistency

With the rapid expansion of social networks and fashion websites, clothing recommendation has attracted more attention of researchers, since various web data bring opportunities for recommender systems to solve the problems of cold start and sparsity. For clothing recommender system, user social circle and fashion style consistency of clothing items are two important factors, which have critical impacts on user decision making. In this paper, two practical problems are considered: how to visually analyze fashion style consistency between clothing items and how to implement personalized clothing recommendation by combining user social circle and fashion style consistency. To address the first problem, a Siamese Convolutional Neural Network (SCNN) with a novel sampling strategy is employed to measure the fashion style consistency of clothing items. It can learn a feature transformation from clothing images to a latent feature space, where the representations of clothing items with similar styles locate closer than those with different styles. For the second problem, three social factors (i.e., personal interest, interpersonal interest similarity and interpersonal influence) and fashion style consistency are fused into a unified personalized recommendation model based on probabilistic matrix factorization (PMF). To comprehensively evaluate our model, extensive experiments have been conducted on two real world datasets collected from a popular social fashion website, which demonstrate the effectiveness of the proposed method for personalized clothing recommendation.

Service Rating Prediction by Exploring Social Mobile Users’ Geographical Locations

Recently, advances in intelligent mobile device and positioning techniques have fundamentally enhanced social networks, which allows users to share their experiences, reviews, ratings, photos, check-ins, etc. The geographical information located by smart phone bridges the gap between physical and digital worlds. Location data functions as the connection between user's physical behaviors and virtual social networks structured by the smart phone or web services. We refer to these social networks involving geographical information as location-based social networks (LBSNs). Such information brings opportunities and challenges for recommender systems to solve the cold start, sparsity problem of datasets and rating prediction. In this paper, we make full use of the mobile users’ location sensitive characteristics to carry out rating prediction. We mine: 1) the relevance between user's ratings and user-item geographical location distances, called as user-item geographical connection, 2) the relevance between users’ rating differences and user-user geographical location distances, called as user-user geographical connection. It is discovered that humans’ rating behaviors are affected by geographical location significantly. Moreover, three factors: user-item geographical connection, user-user geographical connection, and interpersonal interest similarity, are fused into a unified rating prediction model. We conduct a series of experiments on a real social rating network dataset Yelp. Experimental results demonstrate that the proposed approach outperforms existing models.

User-Service Rating Prediction by Exploring Social Users' Rating Behaviors

With the boom of social media, it is a very popular trend for people to share what they are doing with friends across various social networking platforms. Nowadays, we have a vast amount of descriptions, comments, and ratings for local services. The information is valuable for new users to judge whether the services meet their requirements before partaking. In this paper, we propose a user-service rating prediction approach by exploring social users' rating behaviors. In order to predict user-service ratings, we focus on users' rating behaviors. In our opinion, the rating behavior in recommender system could be embodied in these aspects: 1) when user rated the item, 2) what the rating is, 3) what the item is, 4) what the user interest that we could dig from his/her rating records is, and 5) how the user's rating behavior diffuses among his/her social friends. Therefore, we propose a concept of the rating schedule to represent users' daily rating behaviors. In addition, we propose the factor of interpersonal rating behavior diffusion to deep understand users' rating behaviors. In the proposed user-service rating prediction approach, we fuse four factors-user personal interest (related to user and the item's topics), interpersonal interest similarity (related to user interest), interpersonal rating behavior similarity (related to users' rating behavior habits), and interpersonal rating behavior diffusion (related to users' behavior diffusions)-into a unified matrix-factorized framework. We conduct a series of experiments in the Yelp dataset and Douban Movie dataset. Experimental results show the effectiveness of our approach.

Interpersonal Transgressions and Interest in Spiritual Activities: The Role of Narcissism

As levels of narcissism rise among Americans, it is important to understand how being narcissistic affects individuals’ day-to-day lives. One domain in which narcissism may have particularly interesting effects is individuals’ spirituality. When interpersonal expectations have been violated, individuals experience a variety of emotions. Chief among these emotions is guilt, which is linked both thematically and empirically to many aspects of Western religion. Given narcissism’s complex relationship with guilt, it is important to investigate how narcissists may react to failings in the interpersonal domain, particularly in a spiritual context. The current study investigated the effects of a simulated interpersonal failing on narcissists’ interest in a variety of spiritual behaviors, including prayer, seeking spiritual guidance, and participating in spiritual activities aimed at self-enhancement. After reading a scenario designed to induce feelings associated with interpersonal failings, participants reported their interest in a variety of religious activities, including prayer. Results indicated that the manipulation tended to decrease interest in a variety of spiritual activities across the sample, but that these effects were only robust among participants high in narcissism.

Identification With a Violent and Sadistic Aggressor: A Rorschach Study of Criminal Debt Collectors

abstractThis study examined personality functioning in a group of 27 incarcerated criminal debt collectors as assessed by the Rorschach Inkblot Method (RIM; Rorschach, 1921/1942) and the Psychopathy Checklist–Revised (PCL–R; Hare, 2003). To explore whether these individuals represent a distinct subgroup within the violent offender population, we compared them to a group of incarcerated homicide offenders (n = 23) without a previous history of significant violence and a group who had committed less serious violent crimes (n = 21). Results revealed significantly more Rorschach indicators of past trauma (Trauma Content Index), aggressive urges (Aggressive Potential) and identification (Aggressive Content) among the debt collectors than the 2 other groups. In addition, debt collectors displayed significantly more interpersonal interest (Sum Human content), and significantly higher scores on the PCL–R. Our findings suggest that the debt collector might be viewed as a hostile variant of psychopathy.

Development and validation of the measure of initial attraction- Short Interest Scale (MIA-I)

Unilateral initial attraction (UIA) is a positive affective reaction following a unilateral perception of an unknown target, defining the first stage in developing a new interpersonal relationship. Although little attention is given to this construct, literature suggests it has a physiological activation component as well as an interpersonal interest component. However, this interest component emerges as necessary to willingly approach another person and eventually initiate interaction. Based on these evidences, we developed and validated the Measure of Initial Attraction - Interest Short Scale (MIA-I) in a sample of Portuguese-speaking individuals (Study 1, N = 544). Results suggest the MIA-I is a valid and reliable instrument (Study 1; Study 2a), and show its capacity to discriminate UIA across different relationships (Study 1) and to differentiate UIA from passion and love (Study 1). Towards an unknown target, the MIA-I also distinguished UIA from liking (Study 2b). These results show that the MIA-I assesses a specific construct, differentiated from liking, passion and love, and suggest its importance to understand the UIA phenomenon.

PERBEDAAN PERSEPSI KETERTARIKAN INTERPERSONAL SISWA PADA GURU SEKOLAH DASAR BERDASARKAN UKURAN TUBUH

This study aims to determine whether there is a difference in perceptions of interpersonal attractiveness of students in primary school teachers in Pondok Kelapa East Jakarta based on body size. This research uses quantitative approach with pre-experimental research method and quota sampling technique and questionnaire as data. This experiment was designed with digital manipulation of male and female teacher body size images as a stimulus variation, which then compares between variations and selected using the guttman scale with option 1 or 2. Then in rating with likert scale to know the level of interest. Subject of this study there are 155 people with age 18-12 years. The result of statistical analysis that yield is F = 28,284, p = 0,000 <0,05 (significant). The results showed a significant difference perceptions of interpersonal interest of students in elementary school teachers according to body size.

Improving Recommendation Accuracy and Diversity via Multiple Social Factors and Social Circles

Recommender systems (RS) have been widely employed to suggest personalized online information to simplify user's information discovery process. With the popularity of online social networks, analysis and mining of social factors and social circles have been utilized to support more effective recommendations, but have not been fully investigated. In this paper, the authors propose a novel recommendation model with the consideration of more comprehensive social factors and topics that user is explicitly and implicitly interested in. Concretely, to further enhance recommendation accuracy, four social factors, individual preference, interpersonal trust influence, interpersonal interest similarity and interpersonal closeness degree, are simultaneously injected into our recommendation model based on probabilistic matrix factorization. Meanwhile, the authors explore several new methods to measure these social factors. Moreover, the authors infer explicit and implicit social circles to enhance the performance of recommendation diversity. Finally, the authors conduct a series of experiments on publicly available data. Experimental results show the proposed model achieves significantly improved performance (accuracy and diversity) over the existing models in which social information have not been fully considered.

Personalized Recommendation Combining User Interest and Social Circle

With the advent and popularity of social network, more and more users like to share their experiences, such as ratings, reviews, and blogs. The new factors of social network like interpersonal influence and interest based on circles of friends bring opportunities and challenges for recommender system (RS) to solve the cold start and sparsity problem of datasets. Some of the social factors have been used in RS, but have not been fully considered. In this paper, three social factors, personal interest, interpersonal interest similarity, and interpersonal influence, fuse into a unified personalized recommendation model based on probabilistic matrix factorization. The factor of personal interest can make the RS recommend items to meet users' individualities, especially for experienced users. Moreover, for cold start users, the interpersonal interest similarity and interpersonal influence can enhance the intrinsic link among features in the latent space. We conduct a series of experiments on three rating datasets: Yelp, MovieLens, and Douban Movie. Experimental results show the proposed approach outperforms the existing RS approaches. Index Terms—Interpersonal influence, personal interest, recommender system, social networks —————————— ——————————

Women Are Better at Selecting Gifts than Men

There is a widespread belief that women are better at selecting gifts than men; however, this claim has not been assessed on the basis of objective criteria. The current studies do exactly that and show that women do indeed make better gift selections for others, regardless of the gender of the receiver and the type of relationship between the giver and receiver. We investigate the mediating role of different aspects of interpersonal sensitivity and reveal that differences in interpersonal interest (measured with an autism questionnaire), but not differences in interpersonal reactivity, explain gender differences in gift selection quality. The current studies thus present the first objective evidence for the claim that women are better in selecting gifts for others and also give an indication of why this is the case.

Profile of depression, experienced distress and capacity for coping with stress in multiple sclerosis patients—A different perspective

Multiple sclerosis (MS) can result in significant changes in psychological functioning. Depression and cognitive deficits are commonly present. In addition personality changes have been described. A growing body of research is showing negative impact of psychological stress on disease course. Our study focused on the profile of depression, capacity for coping with stress and experienced distress in patients with MS measured by a performance based method for personality assessment—the Rorschach Inkblot Method (RIM). We included 95 patients with MS and 44 healthy controls. RIM was used with all participants and was scored by the Exner Comprehensive system. Compared to healthy controls MS patients had statistically significantly lower capacity for coping with stress, complexity of information processing, body image, willingness to process emotional stimulation and interpersonal interest. Surprisingly patients had lower experienced distress than controls. We propose that the profile of depression in advanced MS disease might be better described in terms of negative symptoms such as emotional withdrawal and apathy and less with the profile of positive symptoms such as rumination and worry. RIM variables were not significantly associated with the EDSS. Interventions from which patients could benefit are discussed.

France and the United States: A comparative analysis of social capital on both sides of the pond

Putnam's lament on the decline of civic engagement has generated extensive literature on social capital. However, cross-national research remains deficient. In an effort to fill the gap, this research thus concentrates on a comparative assessment of social capital in the United States and France. On the basis of secondary analyses of Howard, Gibson and Stolle's ‘US Citizenship, Involvement and Democracy’ survey of 1001 respondents in the United States and the 2002 European Social Survey of 1503 respondents in France, this article measured the impact of media use and political variables on levels of trust, citizen norms, associational involvement and political participation. Findings suggested that for both countries interpersonal political discussion, external efficacy and interest were positive predictors for several dimensions of social capital.

Predicting Expatriate Job Performance for Selection Purposes

This article meta-analytically reviews empirical studies on the prediction of expatriate job performance. Using 30 primary studies (total N = 4,046), it was found that predictive validities of the Big Five were similar to Big Five validities reported for domestic employees. Extraversion, emotional stability, agreeableness, and conscientiousness were predictive of expatriate job performance; openness was not. Other predictors that were found to relate to expatriate job performance were cultural sensitivity and local language ability. Cultural flexibility, selection board ratings, tolerance for ambiguity, ego strength, peer nominations, task leadership, people leadership, social adaptability, and interpersonal interest emerged as predictors from exploratory investigations (K < 4). It is surprising that intelligence has seldom been investigated as a predictor of expatriate job performance.

Life and death in the South Atlantic

Hold hard. Ten years on, the second wave is about to break. The ultimate Channel 4 documentary series is already in the can. It seems that the tributary of personal reminiscence from high and low (but chiefly high) has not run dry after all Recollected in tranquillity, it turns turbulent once more—as witness the fascinating collective testimony elicited by Michael Charlton in The Little Platoon (1989), at once pointer and landmark for the new wave. Already we have the Carrington memoirs, the Whitelaw memoirs, and even that most unlikely artefact, the Tebbit memoirs. From Washington come the Haig memoirs and the Weinberger memoirs, not to mention a shoal of smaller fry. Our man in Buenos Aires author of a prophetic complaint about the typical British approach to the Falklands, that is, ‘to have no strategy at all beyond a general Micawberism’ talked at length to Michael Charlton and to Peter Kosminsky (for the excellent Yorkshire TV documentary ‘Falklands—The Untold Story’). Our men in Washington and at the UN, both writers of distinction, have published revealing accounts of their stewardships. These British accounts can now be matched against the waspish reflections of Jeane Kirkpatrick, the dissentient US Representative at the UN, an exercise full of interpersonal and international interest. The generals and admirals of each side continue to be remarkably forthcoming, in one case from prison, in the other from retirement—such are the spoils of war.