This study explores the co-existent nature of emotions and cognition
in humans to build and propo... more This study explores the co-existent nature of emotions and cognition in humans to build and propose a framework that helps correlate ‘likeability’ and ‘sellability’ of a product by introduction of a relatively new term—unique selling factor (USF). The framework runs on context-based logical correlations among its constituents. The aim of this framework is to qualitatively express the emotional characteristics of a product. As emotions work alongside with cognition, the design attributes of the product under the lenses are first analysed as per the three levels of our brain’s processing. Each design feature corresponds to the processing level based on the consumers’ probable preferences to choose that feature in the first place. After this cognitive breakdown, we further diverge the semantic analysis at emotional levels. Each design feature when stated with the consumers’ probable preference and the cognition level involved can now help develop context of the scenario. This context that triangulates the connect between the design feature, consumers’ preference and processing level plays significant role as the backbone of emotionality in the analysis overall. To apply the understanding built, a logical study is done considering a black V-neck T-shirt as the product under the lenses. For this product, we define the likeability, sellability and the unique selling factor. For analysis, we create a feature analysis table that subdivides the product features first, into its design characteristics. Second, against these characteristics are explored the probable reasons the consumer might have had for opting for those characteristics. Third, each reason for the preference for its respective design characteristic is assigned to its corresponding levels of brain processing. Fourth, for the context developed so far, we can assign emotions involved. The co-existence of emotion and cognition paves way for this product-semantic design language. Thus, the framework proposed works evidently on emotion and cognition and helps provide a novel perspective—that of the most significant stakeholder of all—the customer and the peoplewe design for. The framework follows an ecosystemic approach that provides it with appropriate literature and a holistic approach.
This study explores the co-existent nature of emotions and cognition
in humans to build and propo... more This study explores the co-existent nature of emotions and cognition in humans to build and propose a framework that helps correlate ‘likeability’ and ‘sellability’ of a product by introduction of a relatively new term—unique selling factor (USF). The framework runs on context-based logical correlations among its constituents. The aim of this framework is to qualitatively express the emotional characteristics of a product. As emotions work alongside with cognition, the design attributes of the product under the lenses are first analysed as per the three levels of our brain’s processing. Each design feature corresponds to the processing level based on the consumers’ probable preferences to choose that feature in the first place. After this cognitive breakdown, we further diverge the semantic analysis at emotional levels. Each design feature when stated with the consumers’ probable preference and the cognition level involved can now help develop context of the scenario. This context that triangulates the connect between the design feature, consumers’ preference and processing level plays significant role as the backbone of emotionality in the analysis overall. To apply the understanding built, a logical study is done considering a black V-neck T-shirt as the product under the lenses. For this product, we define the likeability, sellability and the unique selling factor. For analysis, we create a feature analysis table that subdivides the product features first, into its design characteristics. Second, against these characteristics are explored the probable reasons the consumer might have had for opting for those characteristics. Third, each reason for the preference for its respective design characteristic is assigned to its corresponding levels of brain processing. Fourth, for the context developed so far, we can assign emotions involved. The co-existence of emotion and cognition paves way for this product-semantic design language. Thus, the framework proposed works evidently on emotion and cognition and helps provide a novel perspective—that of the most significant stakeholder of all—the customer and the peoplewe design for. The framework follows an ecosystemic approach that provides it with appropriate literature and a holistic approach.
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Papers by Subhajit Chandra
in humans to build and propose a framework that helps correlate ‘likeability’ and
‘sellability’ of a product by introduction of a relatively new term—unique selling
factor (USF). The framework runs on context-based logical correlations among its
constituents. The aim of this framework is to qualitatively express the emotional
characteristics of a product. As emotions work alongside with cognition, the design
attributes of the product under the lenses are first analysed as per the three levels of our
brain’s processing. Each design feature corresponds to the processing level based on
the consumers’ probable preferences to choose that feature in the first place. After this
cognitive breakdown, we further diverge the semantic analysis at emotional levels.
Each design feature when stated with the consumers’ probable preference and the
cognition level involved can now help develop context of the scenario. This context
that triangulates the connect between the design feature, consumers’ preference and
processing level plays significant role as the backbone of emotionality in the analysis
overall. To apply the understanding built, a logical study is done considering a
black V-neck T-shirt as the product under the lenses. For this product, we define the
likeability, sellability and the unique selling factor. For analysis, we create a feature
analysis table that subdivides the product features first, into its design characteristics.
Second, against these characteristics are explored the probable reasons the
consumer might have had for opting for those characteristics. Third, each reason for
the preference for its respective design characteristic is assigned to its corresponding
levels of brain processing. Fourth, for the context developed so far, we can assign
emotions involved. The co-existence of emotion and cognition paves way for this
product-semantic design language. Thus, the framework proposed works evidently
on emotion and cognition and helps provide a novel perspective—that of the most significant stakeholder of all—the customer and the peoplewe design for. The framework follows an ecosystemic approach that provides it with appropriate literature and a holistic approach.
in humans to build and propose a framework that helps correlate ‘likeability’ and
‘sellability’ of a product by introduction of a relatively new term—unique selling
factor (USF). The framework runs on context-based logical correlations among its
constituents. The aim of this framework is to qualitatively express the emotional
characteristics of a product. As emotions work alongside with cognition, the design
attributes of the product under the lenses are first analysed as per the three levels of our
brain’s processing. Each design feature corresponds to the processing level based on
the consumers’ probable preferences to choose that feature in the first place. After this
cognitive breakdown, we further diverge the semantic analysis at emotional levels.
Each design feature when stated with the consumers’ probable preference and the
cognition level involved can now help develop context of the scenario. This context
that triangulates the connect between the design feature, consumers’ preference and
processing level plays significant role as the backbone of emotionality in the analysis
overall. To apply the understanding built, a logical study is done considering a
black V-neck T-shirt as the product under the lenses. For this product, we define the
likeability, sellability and the unique selling factor. For analysis, we create a feature
analysis table that subdivides the product features first, into its design characteristics.
Second, against these characteristics are explored the probable reasons the
consumer might have had for opting for those characteristics. Third, each reason for
the preference for its respective design characteristic is assigned to its corresponding
levels of brain processing. Fourth, for the context developed so far, we can assign
emotions involved. The co-existence of emotion and cognition paves way for this
product-semantic design language. Thus, the framework proposed works evidently
on emotion and cognition and helps provide a novel perspective—that of the most significant stakeholder of all—the customer and the peoplewe design for. The framework follows an ecosystemic approach that provides it with appropriate literature and a holistic approach.