Integrating the strengths of cognitive emotion models with traditional HCI analysis tools

This paper reports an attempt to integrate key concepts from cognitive models of emotion to cognitive models of interaction established in HCI literature. The aim is to transfer the strengths of interaction models to analysis of affect-critical systems in games, e-commerce and education, thereby increasing their usefulness in these systems where affect is increasingly recognised as a key success factor. Concepts from Scherer’s appraisal model and stimulation evaluation checks, along with a framework of emotion contexts proposed by Coulson (An everything but framework for modelling emotion. In proceeding of AAAI spring symposium on architectures for emotion, 2004), are integrated into the cycle of display-based action proposed by Norman (The design of everyday things. Basic Books, New York, 1988). Norman’s action cycle has commonly been applied as an interaction analysis tool in the field of HCI. In the wake of the recent shift of emphasis to user experience, the cognition-based action cycle is deemed inadequate to explicate affective experiences, such as happiness, joy and surprise. Models based on appraisal theories, focusing on cognitive accounts of emotion, are more relevant to understanding the causes and effects of feelings arising from interacting with digital artefacts. The paper explores the compatibility between these two genres of model, and future development of integrated analysis tools

Integrating the strengths of cognitive emotion models with traditional HCI analysis tools

This paper reports an attempt to integrate key concepts from cognitive models of emotion to cognitive models of interaction established in HCI literature. The aim is to transfer the strengths of interaction models to analysis of affect-critical systems in games, e-commerce and education, thereby increasing their usefulness in these systems where affect is increasingly recognised as a key success factor. Concepts from Scherer’s appraisal model and stimulation evaluation checks, along with a framework of emotion contexts proposed by Coulson (An everything but framework for modelling emotion. In proceeding of AAAI spring symposium on architectures for emotion, 2004), are integrated into the cycle of display-based action proposed by Norman (The design of everyday things. Basic Books, New York, 1988). Norman’s action cycle has commonly been applied as an interaction analysis tool in the field of HCI. In the wake of the recent shift of emphasis to user experience, the cognition-based action cycle is deemed inadequate to explicate affective experiences, such as happiness, joy and surprise. Models based on appraisal theories, focusing on cognitive accounts of emotion, are more relevant to understanding the causes and effects of feelings arising from interacting with digital artefacts. The paper explores the compatibility between these two genres of model, and future development of integrated analysis tools

The influence of cognition and emotion on Nigerian undergraduates frustration during e-Registration

This study was designed to investigate the relative and combined contributions of cognition and emotion to Nigerian undergraduates’ level of computer frustration in online environments. The 1972 students who participated in the study were randomly selected from the two state-owned universities in Ogun State, Nigeria. The data for the study were collected through the use of the Students’ Cognition Scale, Students’ Emotion Scale, and Students’ Computer Frustration Scale. Data analysis involved the use of mean and standard deviation as descriptive statistics, as well as the Pearson Product Moment Correlation and regression analysis as inferential statistics. The research findings revealed that students encountered various frustrating experiences during e-Registration and that a combination of the predictor variables, cognition and emotion, significantly accounted for 2.5% of the variance in the students’ level of frustration. Cognition was found to be the more potent contributor to this frustration. The results of this study further indicated that there was a statistically significant difference in the level of computer frustration among students at the two universities, potentially due to the relative differences in the schools’ technology facilities. Recommendations are made at the end of this paper in accordance with the findings of the study

Modelling the influence of personality and culture on affect and enjoyment in multimedia

Affect is evoked through an intricate relationship between the characteristics of stimuli, individuals, and systems of perception. While affect is widely researched, few studies consider the combination of multimedia system characteristics and human factors together. As such, this paper explores the influence of personality (Five-Factor Model) and cultural traits (Hofstede Model) on the intensity of multimedia-evoked positive and negative affects (emotions). A set of 144 video sequences (from 12 short movie clips) were evaluated by 114 participants from a cross-cultural population, producing 1232 ratings. On this data, three multilevel regression models are compared: a baseline model that only considers system factors; an extended model that includes personality and culture; and an optimistic model in which each participant is modelled. An analysis shows that personal and cultural traits represent 5.6% of the variance in positive affect and 13.6% of the variance in negative affect. In addition, the affect-enjoyment correlation varied across the clips. This suggests that personality and culture play a key role in predicting the intensity of negative affect and whether or not it is enjoyed, but a more sophisticated set of predictors is needed to model positive affect with the same efficacy

Investigating Emotions in Creative Design

A wealth of research has suggested that emotions play a significant role in the creative problem solving process, but less work has focused on investigating the role of emotions in the design process. This is surprising given that creative problem solving lies at the heart of the design processes. In an exploratory study we interviewed 9 expert designers about their emotions during the design process. The content analysis allowed us to identify the various types of emotions relevant in the design process and to extend Wallas’ model of creative problem solving with emotional components for each of its stages. In addition, we identified two important roles of emotions in design and several ways in which expert designers regulate their emotions. We discussed the theoretical and practical applications of our work