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  3. Affective Computing
  4. Identifying Emotion through Implicit and Explicit Measures: Cultural Differences, Cognitive Load, and Immersion
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Category: Affective Computing
By MTech Projects
MTech Projects
21.Sep
Hits: 45

Identifying Emotion through Implicit and Explicit Measures: Cultural Differences, Cognitive Load, and Immersion

PROJECT TITLE :

Identifying Emotion through Implicit and Explicit Measures: Cultural Differences, Cognitive Load, and Immersion

ABSTRACT:

Measures of emotion should accurately characterize the character of an emotional expertise and determine whether or not that have is universal or distinctive to a subgroup or culture. We have a tendency to investigated the price of assessing emotion through skin conductance (an easy-to-interpret physiological measure) and sliders (frequently used and direct measures of perceived emotion). This paper describes findings from 2 experiments. The primary evaluated numerous slider configurations and found that measured emotions successfully characterised the emotional nature of short videos. The second experiment collected the slider and skin conductance measures of emotion whereas one sample of Japanese participants and another sample of Canadian participants viewed longer videos. The measures were sensitive enough to spot cultural differences in step with existing literature and were conjointly in a position to identify elements of the expertise where members from different cultures reacted consistently, pinpointing content that provoked a universal experience. We provide a toolkit of information interpretation techniques to gain additional insight into the implicit and explicit emotion knowledge: analyses for expressiveness and agreement that can infer states like engagement and fatigue. We have a tendency to summarize the aspects of our measurement approach and toolkit in an exceedingly model: the power to tell apart the emotional nature of stimuli, individuals, and affective interaction.

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