Affective and cognitive design for mass personalization: status and prospect

Zhou, Feng; Ji, Yangjian; Jiao, Roger J.

doi:10.1007/s10845-012-0673-2

Cited by 113 publications

(63 citation statements)

References 127 publications

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“…Hence, it is important to create a customer relationship, which will in turn offer service providers the opportunity to communicate with their customers in a personalized manner. Zhou et al (2012) have examined mass personalization and posit that, by analyzing user experience, personalized services based on affective and cognitive states can be deployed to meet customers' needs.…”

Section: The Role Of Emotions On Formulating Shopping Behaviorsmentioning

confidence: 99%

Shiny happy people buying: the role of emotions on personalized e-shopping

et al. 2014

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Personalized services are diffusing rapidly in online shopping communities. However, the current understanding of the influence of personalization is limited. This study extends personalization literature into the area of emotions related to intention to purchase and into the context of online shopping. Responses from 182 online shoppers were used to examine the impact of personalization on customer emotions and intention to purchase. The results show that there is a direct positive association between personalization and purchase intentions. In addition, provision of personalization features in e-shops may evoke positive emotions to online shoppers but does not evoke nor mitigate negative ones. Finally, our study reports that emotions influence online shopping behavior either positively, through the formulation of positive emotions, or negatively, through negative emotions. These findings indicate that positive emotions mediate the relationship between personalization and purchase intentions. Our study concludes with a critical appraisal of our findings and a discussion of prospective theoretical and managerial implications for e-shop practitioners.

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Section: The Role Of Emotions On Formulating Shopping Behaviorsmentioning

confidence: 99%

Shiny happy people buying: the role of emotions on personalized e-shopping

et al. 2014

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“…In the education field, understanding the affective state of a student could lead to more effective presenting style and improved learning [7]. A current interest is in the personalisation of commercial products, which could be enhanced by understanding the client's preference based on their mood [31]. Moreover, such understanding of the user's emotions could enhance other applications such as virtual reality and smart surveillance [29].…”

Section: Introductionmentioning

confidence: 99%

Exploring Eye Activity as an Indication of Emotional States Using an Eye-Tracking Sensor

Alghowinem

Alshehri

Goecke

et al. 2014

Intelligent Systems for Science and Information

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Abstract. The automatic detection of human emotional states has been of great interest lately for its applications not only in the Human-Computer Interaction field, but also for its applications in psychological studies. Using an emotion elicitation paradigm, we investigate whether eye activity holds discriminative power for detecting affective states. Our emotion elicitation paradigm includes induced emotions by watching emotional movie clips and spontaneous emotions elicited by interviewing participants about emotional events in their life. To reduce gender variability, the selected participants were 60 female native Arabic speakers (30 young adults, and 30 mature adults). In general, the automatic classification results using eye activity were reasonable, giving 66% correct recognition rate on average. Statistical measures show statistically significant differences in eye activity patterns between positive and negative emotions. We conclude that eye activity, including eye movement, pupil dilation and pupil invisibility could be used as a complementary cues for the automatic recognition of human emotional states.

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“…For example, product surface texture, which is an important affective quality, has been investigated under the conditions of touching, viewing, and combinations of both. Such translation techniques are able to elicit a customer's affective needs in different production styles, from mass production to mass personalization (Zhou et al 2013;Smith et al 2013). …”

Section: Introductionmentioning

confidence: 99%

Expectation effect of perceptual experience in sensory modality transitions: modeling with information theory

Yanagisawa

Takatsuji

2015

J Intell Manuf

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A user's experience of a product involves a set of state transitions. For example, the state of a sensory modality may shift from vision to touch to perceive a quality of a product. Between such state transitions, users expect experiences of the subsequent states as well as experience the current state event. A discrepancy between prior expectation and posterior experience evokes emotions, such as surprise, satisfaction, and disappointment, affecting the perceived product value. A noteworthy psychological phenomenon is that expectation affects perceived experience. This phenomenon, called the expectation effect, is a key to designing the affective experience of a product. Although experimental findings of this effect exist in a variety of disciplines, general and theoretical models of the effect are largely unexplored. In this paper, we propose a theoretical model of the expectation effect using information theory and affective expectation model. We hypothesize that Shannon's entropy of prior subjective probability distributions of posterior experience determines the occurrence of an expectation effect, and the amount of information gained after experiencing a posterior event positively relates to the intensity of the expectation effect. Furthermore, we hypothesize that the conscious awareness of expectation discrepancy discriminates the two types of expectation effect, assimilation and contrast. To verify these hypotheses, we conducted an experiment using the tactile quality of surface texture. In the experiment, we extracted the visual expectation effect on tactile roughness and analyzed the causes of the effect based on these hypotheses. The experimental results validated the proposed model.

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Affective and cognitive design for mass personalization: status and prospect

Cited by 113 publications

References 127 publications

Shiny happy people buying: the role of emotions on personalized e-shopping

Shiny happy people buying: the role of emotions on personalized e-shopping

Exploring Eye Activity as an Indication of Emotional States Using an Eye-Tracking Sensor

Expectation effect of perceptual experience in sensory modality transitions: modeling with information theory

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