Do You Feel the Same? On the Robustness of Cued-Recall Debriefing for User Experience Evaluation

2021 ◽  
Vol 28 (4) ◽  
pp. 1-45
Author(s):  
Anders Bruun ◽  
Effie Lai-Chong Law ◽  
Thomas Dyhre Nielsen ◽  
Matthias Heintz
Keyword(s):  
Computational Models ◽  
Empirical Studies ◽  
Affective State ◽  
Cued Recall ◽  
Self Assessment ◽  
Methodological Innovation ◽  
Usability Problems ◽  
Skin Response ◽  
Actual Interaction ◽  
Valence And Arousal

Cued Recall Debriefing (CRD) is a form of retrospective think aloud approach. It involves re-immersing users to a level where emotional responses are comparable to those experienced during actual interaction with a system. To validate whether the robustness of CRD would vary with the time gap between the actual and recalled event and with the affective state preceding the recall, two empirical studies with altogether 100 participants were conducted. Specifically, participants’ emotions were measured in terms of galvanic skin response (GSR) , heart rate (HR) , and self-assessment manikin (SAM) rating when they were interacting with an email client seeded with usability problems. The same measures were taken when they viewed the videoed interactions. Two between-subject variables were ‘intervening time’ (from 0 minutes up to 24 hours) and ‘intervening affect’ (images with different valence and arousal). Advanced computational models were applied to optimise the shifting of GSR/HR waves generated at the actual interaction and recall phases, which were found to be significantly correlated. The shifting process is necessary for addressing the memory effect and is a methodological innovation. Overall, CRD proved to be a robust method that can be deployed to a broad range of HCI research and practice contexts.

scholarly journals An action-value model explains the role of the dorsal anterior cingulate cortex in performance monitoring during affect regulation

2020 ◽  
Author(s):  
Keith A. Bush ◽  
G. Andrew James ◽  
Anthony A. Privratsky ◽  
Kevin P. Fialkowski ◽  
Clinton D. Kilts
Keyword(s):  
Emotion Regulation ◽  
Performance Monitoring ◽  
Affective State ◽  
Cued Recall ◽  
Anterior Cingulate ◽  
Dorsal Anterior Cingulate Cortex ◽  
Action Value ◽  
Valence And Arousal ◽  
Affect Processing

AbstractIn this study, we merged methods from engineering control theory, machine learning, and human neuroimaging to critically test the putative role of the dorsal anterior cingulate cortex (dACC) in performance monitoring during an emotion regulation task. Healthy adult participants (n=75) underwent cued-recall of affective image stimuli with concurrent functional magnetic resonance imaging and psychophysiological response recording. During cued-recall, participants engaged in explicit self-regulation of their affective state toward defined affective goals. Established decoding methods measured affect processing from fMRI BOLD signals across the orthogonal affective dimensions of valence and arousal. We independently validated participants’ affective state representations via stimulus-dependent facial electromyography (valence) and electrodermal activity (arousal) responses. We then used the decoded affective signatures to test and compare four computational models of performance monitoring (i.e., error, predicted response outcome, action-value, and conflict) by their relative abilities to explain task-related dACC activation. We found that the dACC most plausibly encodes action-value for both valence and arousal processing. We confirmed that the dACC directly encodes affective arousal and also likely encodes recruitment of attention and regulation resources. Beyond its contribution to parsing the roles of the dACC in emotion regulation, this study introduced a novel analytical framework through which affect processing and regulation may be functionally dissociated, thereby permitting mechanistic analysis of real-world emotion regulation strategies, e.g., distraction and reappraisal, which are widely employed in cognitive behavioral therapy to address clinical deficits in emotion regulation.

scholarly journals Testing a self-assessment tool for HP competencies with participants of training courses in Austria

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
G Lang
Keyword(s):  
Assessment Tool ◽  
Core Competencies ◽  
Empirical Studies ◽  
Reliability And Validity ◽  
International Standards ◽  
Online Questionnaire ◽  
Self Assessment ◽  
High Quality ◽  
Training Courses ◽  
Training Programmes

Abstract Background High quality health promotion (HP) depends on a competent workforce for which professional development programmes for practitioners are essential. The “CompHP Core Competencies Framework in HP” defines crucial competency domains but a recent review concluded that the implementation and use of the framework is lacking. The aim was to develop and validate a self-assessment tool for HP competencies, which should help evaluate training courses. Methods A brief self-assessment tool was employed in 2018 in Austria. 584 participants of 77 training courses submitted their post-course assessment (paper-pencil, RR = 78.1%). In addition, longitudinal data are available for 148 participants who filled in a pre-course online questionnaire. Measurement reliability and validity was tested by single factor, bifactor, multigroup, and multilevel CFA. A SEM proved for predictive and concurrent validity, controlling gender and age. Results A bifactor model (X2/df=3.69, RMSEA=.07, CFI=.95, sRMR=.07) showed superior results with a strong general CompHP factor (FL>.65, wH=.90, ECV=.85), configurally invariant for two training programmes. On course level, there was only minimal variance between trainings (ICC<.08). Structurally, there was a significant increase in HP competencies when comparing pre- and post-course measurements (b=.33, p<.01). Participants showed different levels of competencies due to prior knowledge (b=.38, p<.001) and course format (b=.16, p<.06). The total scale had good properties (m = 49.8, sd = 10.3, 95%-CI: 49.0-50.7) and discriminated between groups (eg by training length). Conclusions The results justify the creation of an overall scale to assess core HP competencies. It is recommended to use the scale for evaluating training courses. The work compensates for the lack of empirical studies on the CompHP concept and facilitates a broader empirical application of a uniform competency framework for HP in accordance with international standards in HP and public health. Key messages The self-assessment tool provides a good and compact foundation for assessing HP competencies. It provides a basis for holistic, high quality and sustainable capacity building or development in HP.

scholarly journals Does an artistic representation of brand logos increase their effect on customers?

2021 ◽  
Author(s):  
Julia Kraemer ◽  
Timo Rott ◽  
Jan-Gerd Tenberge ◽  
Patrick Schiffler ◽  
Andreas Johnen ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Healthy Subjects ◽  
Positive Emotions ◽  
The Self ◽  
Self Assessment ◽  
Whole Brain ◽  
Economic Decisions ◽  
Artistic Representation ◽  
Valence And Arousal ◽  
Brand Logos

Background: In numerous fMRI studies, brands strongly confound the customers economic decisions on a neural level by modulating cortical activity in reward-related areas. Objective: To test the hypothesis that the effect of logos can be increased by artistic logo representations, we presented logos in original and artistically changed versions during fMRI. Methods: Following a pre-study survey on the familiarity of original brand logos, 15 logos rated as familiar and 10 logos rated as unfamiliar were selected for fMRI experiment. During fMRI, 15 healthy subjects were presented with original and artistically changed logos out of the familiar/unfamiliar categories. A whole-brain and ROI analysis for reward-related areas were performed. Moreover, logo-induced valence and arousal were measured with the self-assessment manikin. Results: Whole-brain analysis revealed activation in bilateral visual cortex for artistically changed logos (familiar/unfamiliar) compared to original logos. No significant effect could be detected for the ROI analysis. On average, the logos caused neutral emotions. However, when analyzing valence and arousal for familiar/unfamiliar and original/artistically changed logos separately, familiar original logos evoked stronger positive emotions than familiar artistically changed logos. Artistically changed logos (familiar/unfamiliar) excited participants significantly more than original logos. Conclusion: Artistically changed logos elicit activation in the bilateral visual cortex but not in reward-related areas.

Contemplating the Five Domains model of animal welfare assessment: UK horse owner perceptions of equine well-being

2021 ◽  
Vol 30 (3) ◽  
pp. 259-268
Author(s):  
KA Fletcher ◽  
LJ Cameron ◽  
M Freeman
Keyword(s):  
Animal Welfare ◽  
Online Survey ◽  
Empirical Studies ◽  
Affective State ◽  
Well Being ◽  
Factors Affecting ◽  
Equine Welfare ◽  
Species Specific ◽  
Sentient Beings ◽  
Horse Owners

Traditionally, assessment of animal welfare generally focused on physiological signs of health with less consideration of psychological well-being. More recently, the Five Domains model highlighted the concept of all aspects of an animal's life influencing their affective state. In equestrianism, however, there is a lack of awareness of the Five Domains model and, specifically, how different factors may affect the mental well-being of horses (Equus caballus). This divide between scientific research and lay horse owners could compromise equine welfare by failing to recognise horses as sentient beings with species-specific needs. The present study therefore aimed to explore how evidence-based information can be effectively communicated to equestrians (n = 259) through an online survey and whether increased knowledge of equine welfare needs has any impact on horse caregivers' assessment of their own horses' quality of life. Results showed that a simple educational infographic based on the Five Domains model had a significant impact on equestrians' assessment of equine welfare, although longitudinal, empirical studies are needed. Scores on a Likert scale for health, behaviour/human interactions and overall welfare were significantly lower following the intervention but scores for emotional well-being were significantly higher. This may suggest that, whilst the infographic increased participant awareness of the importance of emotional state and the factors affecting welfare, there were difficulties or inconsistencies in objectively assessing these emotions. This highlights the need for equine welfare science to be communicated more proactively to horse owners in an accessible, engaging format.

Analyzing Emotional Oscillatory Brain Network for Valence and Arousal-Based Emotion Recognition Using EEG Data

2019 ◽  
Vol 18 (04) ◽  
pp. 1359-1378
Author(s):  
Jianzhuo Yan ◽  
Hongzhi Kuai ◽  
Jianhui Chen ◽  
Ning Zhong
Keyword(s):  
Emotion Recognition ◽  
Affective Computing ◽  
Affective State ◽  
Feature Selection Method ◽  
Emotional Valence ◽  
Brain Network ◽  
Previous Method ◽  
Emotional States ◽  
Eeg Data ◽  
Valence And Arousal

Emotion recognition is a highly noteworthy and challenging work in both cognitive science and affective computing. Currently, neurobiology studies have revealed the partially synchronous oscillating phenomenon within brain, which needs to be analyzed from oscillatory synchronization. This combination of oscillations and synchronism is worthy of further exploration to achieve inspiring learning of the emotion recognition models. In this paper, we propose a novel approach of valence and arousal-based emotion recognition using EEG data. First, we construct the emotional oscillatory brain network (EOBN) inspired by the partially synchronous oscillating phenomenon for emotional valence and arousal. And then, a coefficient of variation and Welch’s [Formula: see text]-test based feature selection method is used to identify the core pattern (cEOBN) within EOBN for different emotional dimensions. Finally, an emotional recognition model (ERM) is built by combining cEOBN-inspired information obtained in the above process and different classifiers. The proposed approach can combine oscillation and synchronization characteristics of multi-channel EEG signals for recognizing different emotional states under the valence and arousal dimensions. The cEOBN-based inspired information can effectively reduce the dimensionality of the data. The experimental results show that the previous method can be used to detect affective state at a reasonable level of accuracy.

scholarly journals Vigor in the Face of Fluctuating Rates of Reward: An Experimental Examination

2011 ◽  
Vol 23 (12) ◽  
pp. 3933-3938 ◽  
Author(s):  
Marc Guitart-Masip ◽  
Ulrik R. Beierholm ◽  
Raymond Dolan ◽  
Emrah Duzel ◽  
Peter Dayan
Keyword(s):  
Reinforcement Learning ◽  
Computational Models ◽  
Average Rate ◽  
Empirical Studies ◽  
Empirical Work ◽  
Healthy Human ◽  
Average Return ◽  
The Face ◽  
Cost Of Time ◽  
Human Participants

Two fundamental questions underlie the expression of behavior, namely what to do and how vigorously to do it. The former is the topic of an overwhelming wealth of theoretical and empirical work particularly in the fields of reinforcement learning and decision-making, with various forms of affective prediction error playing key roles. Although vigor concerns motivation, and so is the subject of many empirical studies in diverse fields, it has suffered a dearth of computational models. Recently, Niv et al. [Niv, Y., Daw, N. D., Joel, D., & Dayan, P. Tonic dopamine: Opportunity costs and the control of response vigor. Psychopharmacology (Berlin), 191, 507–520, 2007] suggested that vigor should be controlled by the opportunity cost of time, which is itself determined by the average rate of reward. This coupling of reward rate and vigor can be shown to be optimal under the theory of average return reinforcement learning for a particular class of tasks but may also be a more general, perhaps hard-wired, characteristic of the architecture of control. We, therefore, tested the hypothesis that healthy human participants would adjust their RTs on the basis of the average rate of reward. We measured RTs in an odd-ball discrimination task for rewards whose magnitudes varied slowly but systematically. Linear regression on the subjects' individual RTs using the time varying average rate of reward as the regressor of interest, and including nuisance regressors such as the immediate reward in a round and in the preceding round, showed that a significant fraction of the variance in subjects' RTs could indeed be explained by the rate of experienced reward. This validates one of the key proposals associated with the model, illuminating an apparently mandatory form of coupling that may involve tonic levels of dopamine.

What are the influences of orthogonally-manipulated valence and arousal on performance monitoring processes? The effects of affective state

2013 ◽  
Vol 87 (3) ◽  
pp. 327-339 ◽  
Author(s):  
Michael J. Larson ◽  
Alexander C. Gray ◽  
Peter E. Clayson ◽  
Rochelle Jones ◽  
C. Brock Kirwan
Keyword(s):  
Performance Monitoring ◽  
Affective State ◽  
Valence And Arousal

Neurocomputational Models of Voice and Speech Perception

2018 ◽  
pp. 742-756
Author(s):  
Bernd J. Kröger
Keyword(s):  
Speech Perception ◽  
Auditory Processing ◽  
Computational Models ◽  
Affective State ◽  
Facial Perception ◽  
Neural Processes ◽  
Neurophysiological Data ◽  
Paralinguistic Information ◽  
Sound Features ◽  
Voice And Speech

This chapter outlines a comprehensive neurocomputational model of voice and speech perception based on (i) already established computational models, as well as on (ii) neurophysiological data of the underlying neural processes. Neurocomputational models of speech perception comprise auditory as well as cognitive modules, in order to extract sound features as well as linguistic information (linguistic content). A model of voice and speech perception in addition needs to process paralinguistic information like gender, age, emotional or affective state of speaker, etc. It is argued here that modules of a neurocomputational model of voice and speech perception need to interact with modules which go beyond unimodal auditory processing because, for example, processing of paralinguistic information is closely related to such as visual facial perception. Thus, this chapter describes neural modelling of voice and speech perception in relation to general communication and social-interaction processes, which makes it necessary to develop a hypermodal processing approach.

scholarly journals The Relationship Between Emotional Intelligence and Organizational Commitment of Pakistani University Librarians

2014 ◽  
Vol 15 ◽  
pp. 11-21
Author(s):  
Asad Khan ◽  
Mohamad Noorman Masrek ◽  
Fuziah Mohd Nadzar
Keyword(s):  
Emotional Intelligence ◽  
Organizational Commitment ◽  
Research Method ◽  
Response Rate ◽  
Empirical Studies ◽  
Three Dimensions ◽  
Service Orientation ◽  
Self Assessment ◽  
Survey Response Rate ◽  
The Relationship

Despite the growing literature advocating the significance and importance of emotional intelligence, empirical studies on the topic about Pakistani university librarians are unavailable. Drawing upon this gap, the article reports the findings of a study investigating emotional intelligence and organizational commitment among Pakistani university librarians. It used survey research method involving 225 randomly selected librarians from a population of 670 university librarians in Pakistan. The survey response rate was 82%. The results suggest that three dimensions of emotional intelligence, namely self-assessment, optimism and service orientation significantly predict organizational commitment. However, teamwork and collaboration, despite being correlated significantly with organizational commitment, was not a predictor of organizational commitment among Pakistani university librarians. The findings showed the importance and contributions of emotional intelligence towards organizational commitment.

scholarly journals A multi-methodological approach to studying time-pressure in written translation: Manipulation and measurement

2021 ◽  
Vol 19 ◽  
Author(s):  
Yu Weng ◽  
Binghan Zheng
Keyword(s):  
Time Pressure ◽  
Methodological Approach ◽  
Empirical Studies ◽  
Time Frame ◽  
Subjective Time ◽  
Translation Research ◽  
Psychological Measures ◽  
Task Instructions ◽  
Psychometric Instruments ◽  
Skin Response

The effect of time pressure on task performance of written translation has been researched since the 1990s. However, little attention has been paid to the methodological issues of manipulating and measuring time pressure in these empirical studies. To bridge this gap, we propose a methodological framework involving diverse approaches to time-pressure manipulation and measurement. Specifically, in addition to objectively constraining the time frame for a task, we present three subjective time-pressure manipulation strategies: giving pre-task instructions about time, increasing participants’ intrinsic motivation for the task, and visualizing the elapse of time. Meanwhile, a range of feasible methods of time-pressure measurement is structured from the physiological, psychological and behavioural perspectives. This includes physiological measures such as galvanic skin response, heart rate, blood pressure, pupil dilation and salivary cortisol test, psychological measures such as psychometric instruments and retrospective questionnaires, and behavioural measures such as eye movements and keystroke activities. Based on a thorough survey of existing studies and the merits borrowed from neighbouring disciplines, this article aims to strengthen and enrich the methodology of time-pressure studies and benefit future translation research on relevant topics.

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