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Publication Tag: Emotion Research

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2017
21 citations
Asians’ Facial Responsiveness to Basic Tastes by Automated Facial Expression Analysis System
Zhi, Cao, Cao
Growing evidence indicates that consumer choices are predominantly driven by unconscious mechanisms, measurable through behavioral assessments. This study applies automatic facial expression analysis to represent consumers’ emotions and explores the relationship between sensory perception and facial responses. Participants were exposed to basic taste solutions—sourness, sweetness, bitterness, umami, and saltiness—at six concentration levels, plus water, encompassing most flavors found in food and beverages. The study focuses on analyzing facial expression characteristics and their correlation with hedonic liking among Asian consumers, addressing a gap in research that has primarily centered on Western populations. Results demonstrate that facial expressions can distinguish between stimuli of varying concentrations and hedonic levels. Perceived liking increased at lower concentrations and decreased at higher ones, with medium concentrations being most pleasant, except for sweetness and bitterness. High correlations were found between perceived intensities of bitterness, umami, saltiness, and facial reactions of disgust and fear. Disgust and anger expressions characterized “dislike,” happiness indicated “like,” and neutral expressions represented “neither like nor dislike.” These findings align with sensory emotions elicited by basic taste solutions and are consistent with research on Western consumers. The study underscores the potential of automatic facial expression analysis in understanding true consumer emotions, aiding product development and improvement.
2006
113 citations
The FaceReader: Measuring instant fun of use
Zaman, Shrimpton-Smith
Recently, more and more attention has been paid to emotions in the domain of Human-Computer Interaction. When evaluating a product, one can no longer ignore the emotions a product induces. This paper examines the value of a new instrument to measure emotions: the FaceReader. We will assess the extent to which the FaceReader is useful when conducting usability evaluations. To do this, we will compare the data gained from the FaceReader with two other sources: user questionnaires and researcher’s loggings. Preliminary analysis shows that the FaceReader is an effective tool to measure instant emotions and fun of use. However, a combination of the FaceReader with another observation method is necessary. As regards the user questionnaire, our results indicate that it is rather a reflection of the content of the application or the outcome of a task, than a correct self-reflection of how the user felt when accomplishing the task.
2017
39 citations
The Emotional, Cognitive, Physiological, and Performance Effects of Variable Time Delay in Robotic Teleoperation
Yang & Dorneich
The study investigates the impact of intermittent and variable time delays on operators during robotic teleoperation tasks. Participants navigated a remote-controlled robot through mazes of varying complexity while identifying targets. Introducing feedback lag led to increased frustration, anger, and cognitive workload, while decreasing usability and task performance. The effects of variable time delay were more pronounced than those of task complexity, and their combined impact was additive. Understanding these emotional and physiological responses is crucial for designing robotic systems that can effectively mitigate negative operator states.
2017
72 citations
Predictably Angry—Facial Cues Provide a Credible Signal of Destructive Behavior
van Leeuwen, Noussair, Offerman, Suetens, van Veelen, van de Ven
Evolutionary explanations of anger as a commitment device hinge on two key assumptions. The first is that it is predictable, ex ante, whether someone will get angry when feeling that he or she has been badly treated. The second is that anger is associated with destructive behavior. We test the validity of these two assumptions. We collected photos of responders in an ultimatum game before they were informed about the game that they would be playing, and we filmed responders with webcams during play. We then showed pairs of photos consisting of one responder who rejected and one responder who accepted to an independent group of observers. We find that observers are better than chance at detecting who rejected the low offer; they do 10% better than random guessing would. We also find that anger at receiving a low offer is associated with rejection.
2017
14 citations
Does the ability to express different emotions predict different indices of physical health ? A skill-based study of physical symptoms and heart rate variability
Tuck, Adams, Consedine
The study investigated whether the ability to regulate emotional expressions predicts physical health indices. A cross-sectional study with 117 adults assessed participants’ skills in enhancing and suppressing expressions of amusement, sadness, and anger. Findings revealed that greater ability to enhance sad expressions was associated with higher heart rate variability , while the ability to enhance expressions of joy correlated with lower symptom interference. Additionally, the capacity to flexibly regulate expressions of joy and sadness was linked to reduced symptom interference. These results suggest that expressive regulatory skills are relevant to health and may offer novel avenues for research and intervention.
2007
36 citations
Unobtrusive Multimodal Emotion Detection in Adaptive Interfaces: Speech and Facial Expressions
Truong, van Leeuwen, Neerincx
Two unobtrusive modalities for automatic emotion recognition are discussed: speech and facial expressions. First, an overview is given of emotion recognition studies based on a combination of speech and facial expressions. We will identify difficulties concerning data collection, data fusion, system evaluation and emotion annotation that one is most likely to encounter in emotion recognition research. Further, we identify some of the possible applications for emotion recognition such as health monitoring or e-learning systems. Finally, we will discuss the growing need for developing agreed standards in automatic emotion recognition research.
2012
79 citations
Speech-based recognition of self-reported and observed emotion in a dimensional space
Truong, van Leeuwen, de Jong
The differences between self-reported and observed emotion have only marginally been investigated in the context of speech-based automatic emotion recognition. We address this issue by comparing self-reported emotion ratings to observed emotion ratings and look at how differences between these two types of ratings affect the development and performance of automatic emotion recognizers developed with these ratings. A dimensional approach to emotion modeling is adopted: the ratings are based on continuous arousal and valence scales. We describe the TNO-Gaming Corpus that contains spontaneous vocal and facial expressions elicited via a multiplayer videogame and that includes emotion annotations obtained via self-report and observation by outside observers. Comparisons show that there are discrepancies between self-reported and observed emotion ratings which are also reflected in the performance of the emotion recognizers developed. Using Support Vector Regression in combination with acoustic and textual features, recognizers of arousal and valence are developed that can predict points in a 2-dimensional arousal-valence space. The results of these recognizers show that the self-reported emotion is much harder to recognize than the observed emotion, and that averaging ratings from multiple observers improves performance.
2010
120 citations
Measuring Instant Emotions During a Self-Assessment Test: The Use of FaceReader
Terzis, Morisis, Economides
Emotions play a crucial role in learning and self-assessment processes, yet measuring them is challenging. This study evaluates the efficiency of FaceReader during a self-assessment test by comparing its instant measurements with researchers’ estimations of students’ emotions in real-time observations. Statistical analysis revealed some discrepancies between FaceReader’s and researchers’ assessments, particularly concerning ‘Disgusted’ and ‘Angry’ emotions. Overall, the results indicate that FaceReader can measure emotions with over 87% efficacy during self-assessment tests and could be effectively integrated into computer-aided learning systems for affect recognition. Additionally, the study provides valuable insights into students’ emotional states during self-assessment tests and learning procedures.
2012
536 citations
Emotion-Induced Engagement in Internet Video Advertisements
Teixeira, Wedel, Pieters
This study demonstrates how advertisers can utilize emotion and attention to engage consumers with Internet video advertisements. Through a controlled experiment, the authors evaluated joy and surprise using automated facial expression detection across a sample of ads. They measured attention concentration via eye tracking and assessed viewer retention by monitoring zapping behavior. This approach enabled testing predictions about the interplay between these emotions and individual attention differences during exposure. Findings indicate that both surprise and joy effectively focus attention and retain viewers. Notably, the intensity of surprise has a greater impact on attention concentration than its rate of change , whereas the velocity of joy influences viewer retention more than its level. Additionally, the effect of joy is asymmetric, with increases yielding higher gains than decreases result in losses. Based on these insights, the authors developed representative emotion trajectories to aid in ad design and testing.
2013
14 citations
The affective experience of normative-performance and outcome goal pursuit: Physiological, observed, and self-report indicators
Sideridis, Kaplan, Papadopoulos, Anastasiadis
This study examines the affective experiences associated with pursuing normative-performance and outcome goals, utilizing physiological, observational, and self-report measures. The findings indicate that individuals pursuing normative-performance goals exhibit higher levels of anxiety and physiological arousal compared to those pursuing outcome goals. Additionally, normative-performance goal pursuit is linked to more negative affective expressions and self-reported emotions. These results suggest that the type of goal pursued significantly influences affective experiences, with normative-performance goals potentially leading to more stressful and negative emotional states.

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