The bidirectional influence of emotion expressions and context: emotion expressions, situational information and real-world knowledge combine to inform observers’ judgments of both the emotion expressions and the situation

Heß, Ursula; Dietrich, Jonas; Kafetsios, Konstantinos; Elkabetz, Shimon; Hareli, Shlomo

doi:10.1080/02699931.2019.1651252

Cited by 20 publications

(12 citation statements)

References 19 publications

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“…So, to facilitate the creation of knowledge dynamics for individuals and organizations, an interactive process from tacit knowledge to explicit knowledge is performed (Nonaka and Takeuchi, 1995). Moreover, knowledge may be gained in time through social interaction based on previous experience (Brătianu and Vătămănescu, 2017) and on emotion knowledge (Hess et al , 2020). Emotion knowledge is imparted by facial expressions, feelings or emotions generated by fellow people with whom one interacts (Lucas-Molina et al , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Community of practice: converting IT graduate students into specialists via professional knowledge sharing

Stanca

Dabija

Păcurar

2021

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Purpose The paper aims to highlight how an applied learning framework or “community of practice” (CoP) combined with a traditional theoretical course of study enables the identification of teaching-learning processes which facilitate knowledge transfer from practitioners to graduate information technology (IT) students for quicker integration in the labour market. Design/methodology/approach CoPs are identified based on cluster analysis according to Kolb’s Learning Style Inventory (1984), with data obtained through a survey. Empirical research is applied to the CoP developed within a non-formal learning framework, principal new actors being IT specialists linked to graduate IT students and teachers on a traditional university course. Graduate IT students can gain knowledge of the ideal employee and the social and emotional skills needed to integrate with the IT labour market. Findings The K-Means algorithm helps to identify clusters of graduate IT students displaying necessary knowledge acceptance behaviour to convert them into specialists. The results of the cluster analysis show different learning styles of the labour force, providing an overview of candidate selection methods and the knowledge, skills and attitudes expected by users. Research limitations/implications Although the research adds value to the existing literature on learning styles and the knowledge and core skills needed by IT specialists, it was limited to an emerging market. Originality/value The study provides a preliminary overview of graduate IT students’ attitudes from an emerging market to the re-engineering of academic learning contexts to facilitate professional knowledge transfer, converting them into IT practitioners and integrating them in the labour market of an emerging economy.

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Section: Literature Reviewmentioning

confidence: 99%

Community of practice: converting IT graduate students into specialists via professional knowledge sharing

Stanca

Dabija

Păcurar

2021

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“…For example, given bidirectional relationships between context and social appraisal of emotion ( Hess et al, 2019 ), one could vary the social situations and context cues that can give rise to different social appraisals to assess how levels of accuracy and bias and their combination are affected. Also, more elaborate analytic frames and models can be developed to allow a more exact mapping of how characteristics of the perceiver (e.g., social, individual, personality, socioeconomic) interact with contextual elements of the ACE to shape accuracy, bias, and their interrelationship.…”

Section: The Ace Modelmentioning

confidence: 99%

Infusing Context Into Emotion Perception Impacts Emotion Decoding Accuracy

Heß

Kafetsios

2021

Experimental Psychology

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Abstract. The accurate decoding of facial emotion expressions lies at the center of many research traditions in psychology. Much of this research, while paying lip service to the importance of context in emotion perception, has used stimuli that were carefully created to be deprived of contextual information. The participants' task is to associate the expression shown in the face with a correct label, essentially changing a social perception task into a cognitive task. In fact, in many cases, the task can be carried out correctly without engaging emotion recognition at all. The present article argues that infusing context in emotion perception does not only add an additional source of information but changes the way that participants approach the task by rendering it a social perception task rather than a cognitive task. Importantly, distinguishing between accuracy (perceiving the intended emotions) and bias (perceiving additional emotions to those intended) leads to a more nuanced understanding of social emotion perception. Results from several studies that use the Assessment of Contextual Emotions demonstrate the significance and social functionality of simultaneously considering emotion decoding accuracy and bias for social interaction in different cultures, their key personality and societal correlates, and their function for close relationships processes.

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“…Effects on vote shares could vary greatly with regard to different emotional expressions. The perception of emotional expressions is highly contextdependent (Barrett et al, 2011;Hess et al, 2020), and it has been shown that politicians' emotional expressions are dependent on displays of other politicians (Masch, 2020, p. 237). Therefore, a variety of emotional expressions and their interplay with each other and with candidate characteristics, such as physical attractiveness, should be considered in the future.…”

Section: Candidates Physical Attractiveness and Facial Expressionsmentioning

confidence: 99%

Can a beautiful smile win the vote?

Masch¹,

Gaßner

Rosar

2021

Polit. life sci.

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Several empirical studies have linked political candidates’ electoral success to their physical appearance. We reexamine the effects of candidates’ physical attractiveness by taking into account emotional facial expressions as measured by automated facial recognition software. The analysis is based on an observational case study of candidate characteristics in the 2017 German federal election. Using hierarchical regression modeling and controlling for candidates’ displays of happiness, consistent effects of physical attractiveness remain. The results suggest that a potential interaction effect between displays of happiness and attractiveness positively affects vote shares. The study emphasizes the importance of considering emotional expressions when analyzing the impact of candidate appearance on electoral outcomes.

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The bidirectional influence of emotion expressions and context: emotion expressions, situational information and real-world knowledge combine to inform observers’ judgments of both the emotion expressions and the situation

Cited by 20 publications

References 19 publications

Community of practice: converting IT graduate students into specialists via professional knowledge sharing

Community of practice: converting IT graduate students into specialists via professional knowledge sharing

Infusing Context Into Emotion Perception Impacts Emotion Decoding Accuracy

Can a beautiful smile win the vote?

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