Boekbespreking

Vogel, K. Sneyders de; V., K. S. D.; Swaen, A. E. H.

doi:10.1007/bf01536198

Cited by 4 publications

(6 citation statements)

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“…Scherer (1979) also found that American extraverts were perceived by peers to talk more loudly, r 2 (23) = .43, p < .05, to have a wider dynamic range, r 2 (23) = .37, p < .07, and to speak with a more nasal voice, r 2 (23) = .43, p < .05 (Scherer, 1978, p. 473). Vogel and Vogel (1986) analyzed the oral French interlanguage of 89 German beginners and found a strong relationship between extraversion (Freiburger Persönlichkeitsinventar) and backchannel behavior in a film-retelling task, F(3, 78) = 3.12, p < .05. The authors concluded that extravert language learners are thus giving stronger signals to their interlocutor that they wish to maintain the communication (p. 59).…”

Section: Correlating Extraversion Scores With Linguistic Variables Frmentioning

confidence: 98%

Extraversion: The Unloved Variable in Applied Linguistic Research

Dewaele¹,

Furnham²

1999

Language Learning

255

147

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The relatively small number of linguistic studies in which extraversion is focussed on as an independent variable suggests that applied linguists believe it unrelated to speech production or language learning. We argue that this suspicion is based on a misunderstanding originating in the 1970s. Reappraisal of the literature suggests that extraversion may not be a predictor of success in second language learning but does affect both L1 and L2 speech production. An analysis of the psychological literature on extraversion allowed us to formulate a number of hypotheses about the causes of linguistic variation in the speech of introverts and extraverts.

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Section: Correlating Extraversion Scores With Linguistic Variables Frmentioning

confidence: 98%

Extraversion: The Unloved Variable in Applied Linguistic Research

Dewaele¹,

Furnham²

1999

Language Learning

255

147

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“…Psychologists have documented the existence of such cues by discovering correlations between a range of linguistic variables and personality traits, across a wide range of linguistic levels, including acoustic parameters (Smith, Brown, Strong, & Rencher, 1975;Scherer, 1979), lexical categories (Pennebaker & King, 1999;Pennebaker, Mehl, & Niederhoffer, 2003;Mehl, Gosling, & Pennebaker, 2006;Fast & Funder, 2007), n-grams (Oberlander & Gill, 2006), and speech-act type (Vogel & Vogel, 1986). As the correlations reported in the literature are generally weak (see Section 3.3), it is not clear whether these features will improve accuracies of statistical models on unseen subjects.…”

Section: Personality Markers In Languagementioning

confidence: 99%

“…For example, extraverts are more assertive in their emails (Gill & Oberlander, 2002), while extravert second language learners were shown to produce more back-channel behaviour (Vogel & Vogel, 1986). We therefore introduced features characterising the types of utterance produced.…”

Section: Utterance Typementioning

confidence: 99%

Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text

Mairesse¹,

Walker²,

Mehl³

et al. 2007

jair

746

583

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It is well known that utterances convey a great deal of information about the speaker in addition to their semantic content. One such type of information consists of cues to the speaker's personality traits, the most fundamental dimension of variation between humans. Recent work explores the automatic detection of other types of pragmatic variation in text and conversation, such as emotion, deception, speaker charisma, dominance, point of view, subjectivity, opinion and sentiment. Personality affects these other aspects of linguistic production, and thus personality recognition may be useful for these tasks, in addition to many other potential applications. However, to date, there is little work on the automatic recognition of personality traits. This article reports experimental results for recognition of all Big Five personality traits, in both conversation and text, utilising both self and observer ratings of personality. While other work reports classification results, we experiment with classification, regression and ranking models. For each model, we analyse the effect of different feature sets on accuracy. Results show that for some traits, any type of statistical model performs significantly better than the baseline, but ranking models perform best overall. We also present an experiment suggesting that ranking models are more accurate than multi-class classifiers for modelling personality. In addition, recognition models trained on observed personality perform better than models trained using selfreports, and the optimal feature set depends on the personality trait. A qualitative analysis of the learned models confirms previous findings linking language and personality, while revealing many new linguistic markers.

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“…Vgl. hierzu auch Vogel, D. (1992), S. 31-34. 201 Steinmann, H. / , S. 140, in der Quelle ebenfalls herv.…”

Section: 4unclassified

“…In diesem Sinne betont auch Vogel: "While interest in this subject was largely confined to the United States during the 1970s, during the 1980s it spread to a number of other capitalist nations as well." (Vogel, D. (1992) gegenüber einer Beschäftigung mit normativen Fragestellungen in betriebswirtschaftlichen Konzeptionen existierten, kann im angelsächsischen Bereich eine wesentlich unbefangenere Auseinandersetzung mit dieser Thematik festgestellt werden, welche sich auch in einer bis heute recht unumstrittenen Aufnahme ethischer Kursinhalte in wirtschaftswissenschaftlichen Studiengängen zeigt. So betonen auch Küpper und Schreck: "Während ‚Business Ethics' in vielen Lehrprogrammen und Lehrbüchern anglo-amerikanischer Hochschulen einen festen Platz einnimmt, ist die Verankerung von Unternehmensethik in der deutschen BWL umstritten."…”

Section: Englischsprachige Beiträge Der Business Ethics Im Vergleichunclassified

Wirtschafts- bzw. Unternehmensethik: Eine Analyse des Forschungsstandes

Fuchs

2022

Subjektunabhängige, Analytische Unternehmensethik

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ZusammenfassungNachdem nun im vorigen Kapitel die Relevanz einer reflektierten Beschäftigung mit wirtschaftsethischen Fragen für die Betriebswirtschaftslehre als praktisch-normative Disziplin erarbeitet wurde, befasst sich die Arbeit im Folgenden mit dem aktuellen Forschungsstand der Wirtschafts- und insbesondere der Unternehmensethik. Nach einer terminologischen Präzisierung einiger zentraler Begriffe erfolgt eine Systematisierung der Forschungsrichtungen der Ethik sowie die Einordnung der Wirtschaftsethik als Teildisziplin der angewandten Ethik. Darüber hinaus wird das klassische Dreiebenenmodell der Wirtschaftsethik präsentiert, in welchem die Unternehmensethik auf der Mesoebene verankert wird.

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Boekbespreking

Cited by 4 publications

References 0 publications

Extraversion: The Unloved Variable in Applied Linguistic Research

Extraversion: The Unloved Variable in Applied Linguistic Research

Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text

Wirtschafts- bzw. Unternehmensethik: Eine Analyse des Forschungsstandes

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