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<p>This study delves into the characteristics and emotional dimensions of New Chinglish, scrutinizing its expressive connotations. By examining the inner architecture of an emotion computation model, we propose a multi-layered cognitive affective computing model. This model integrates personality traits, mood states, and emotional conditions to refine the mapping relationship between PAD mood states and emotional responses. We introduce this multi-layer cognitive model as a novel method for preference mining, integrated with multi-objective decision-making processes. Additionally, we investigate the reception of New Chinglish among Chinese college students by examining various layers of engagement. We categorize the emotional types of New Chinglish utilizing the affective computing model, explore the students’ reception towards positive or negative expressions, and analyze preference patterns based on the attributes of New Chinglish. The findings indicate a favorable overall acceptance of New Chinglish among Chinese college students, with average scores for usage attitude and behavioral intention being 3.215 and 3.236, respectively. The three most favored aspects are humor (2.7986), phonetic appeal (2.5805), and innovativeness (2.4325).</p>
</abstract>

This study delves into the characteristics and emotional dimensions of New Chinglish, scrutinizing its expressive connotations. By examining the inner architecture of an emotion computation model, we propose a multi-layered cognitive affective computing model. This model integrates personality traits, mood states, and emotional conditions to refine the mapping relationship between PAD mood states and emotional responses. We introduce this multi-layer cognitive model as a novel method for preference mining, integrated with multi-objective decision-making processes. Additionally, we investigate the reception of New Chinglish among Chinese college students by examining various layers of engagement. We categorize the emotional types of New Chinglish utilizing the affective computing model, explore the students’ reception towards positive or negative expressions, and analyze preference patterns based on the attributes of New Chinglish. The findings indicate a favorable overall acceptance of New Chinglish among Chinese college students, with average scores for usage attitude and behavioral intention being 3.215 and 3.236, respectively. The three most favored aspects are humor (2.7986), phonetic appeal (2.5805), and innovativeness (2.4325).

Research on New Chinglish usage Mode based on emotion computing model: Acceptance and Preference of Chinese College Students

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study delves into the characteristics and emotional dimensions of New Chinglish, scrutinizing its expressive connotations. By examining the inner...

Research on New Chinglish usage Mode based on emotion computing model: Acceptance and Preference of Chinese College Students

Online veröffentlicht: 07. Juni 2024

Seitenbereich: -

Eingereicht: 09. März 2024

Akzeptiert: 13. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1417

Schlüsselwörter
Affective computing model, Personality traits, Affective types, Acceptance, New Chinglish

© 2024 Xiaoman Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on New Chinglish usage Mode based on emotion computing model: Acceptance and Preference of Chinese College Students

Online veröffentlicht: 07. Juni 2024

Seitenbereich: -

Eingereicht: 09. März 2024

Akzeptiert: 13. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1417

SchlüsselwörterAffective computing model, Personality traits, Affective types, Acceptance, New Chinglish

© 2024 Xiaoman Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Affective computing model, Personality traits, Affective types, Acceptance, New Chinglish