Good news or bad news, which do you want first? The importance of the sequence and organization of Information for financial decision-making: a neuro-electrical imaging study

Investment decisions are largely based on the information investors received from the target firm. Thaler introduced the hedonic editing framework, in which suggests that integration/segregation of information influence individual's perceived value. Meanwhile, when evaluating the evidence and information in a sequence, order effect and biases have been found to have an impact in various areas. In this research, the influence of the Organization of Information (Integration vs. Segregation) and the Sequence of Information (Negative-Positive order vs. Positive-Negative order) on individual's investment decision-making both at the behavioral level (decision) and neurometrix level (measured by an individual's emotion and Approach Withdraw tendency) was assessed for the three groups of information: a piece of Big Positive Information and a piece of Small Negative Information, a piece of Big Negative Information and a piece of Small Positive Information, and a piece of Small Negative information. The behavioral results, which are an individual's final investment decision, were consistent for all three scenarios. In general, individuals will invest more/retire less when receiving two pieces of information in a Negative-Positive order. However, the neurometric results (Emotional Index, Approach Withdraw Index and results from LORETA) show differences among information groups. An effect of the Sequence of Information and the Organization of Information was found for the different scenarios. The results suggest that in the scenarios that involve large-scale information, the organization of information (Integration vs. Segregation) influences the emotion and Approach Withdraw tendency. The results of this investigation should provide insight for effective communication of information, especially when large-scale information is involved

Making ERP research more transparent: Guidelines for preregistration

A combination of confirmation bias, hindsight bias, and pressure to publish may prompt the (unconscious) exploration of various methodological options and reporting only the ones that lead to a (statistically) significant outcome. This undisclosed analytic flexibility is particularly relevant in EEG research, where a myriad of preprocessing and analysis pipelines can be used to extract information from complex multidimensional data. One solution to limit confirmation and hindsight bias by disclosing analytic choices is preregistration: researchers write a time-stamped, publicly accessible research plan with hypotheses, data collection plan, and the intended preprocessing and statistical analyses before the start of a research project. In this manuscript, we present an overview of the problems associated with undisclosed analytic flexibility, discuss why and how EEG researchers would benefit from adopting preregistration, provide guidelines and examples on how to preregister data preprocessing and analysis steps in typical ERP studies, and conclude by discussing possibilities and limitations of this open science practice

The effects of sensory deprivation on sensory, perceptual, motor, cognitive, and physiological functions

Sensory deprivation effects on human sensory, perceptual, and physiological mechanism

Effects of Attention on Multisensory Integration

The world presents information via a variety of sensory channels. To make sense of this information, we must determine what is relevant and ignore unhelpful noise. We then integrate congruent information within and across modalities to build coherent perceptions. Importantly, immediate goals and prevailing environmental factors may interact to affect our perceptual decisions. This dynamic process of multisensory integration is essential to successful perception in the real world, but can also lead to errors. The current project exploits some of these perceptual errors to explore how endogenous (task-directed) and exogenous (stimulus intensity) factors may influence multisensory integration. In a series of four experiments, we use the sound-induced flash illusion (SFI; Shams et al., 2000; 2002) and related audiovisual effects as indices of multisensory integration. Endogenous attention was manipulated using a focused attention visual task and a novel bimodal conditional attention task. In our first two experiments, we found that participants reported more illusions when attending to both sensory modalities. This effect was larger when the auditory stimuli were presented at near-threshold levels. Perceptual sensitivity (d′) was also found to decrease in the bimodal condition. We then manipulated auditory intensity in each of these tasks independently. Reports of the SFI were found to increase with the higher intensity auditory stimuli. However, differences in reporting these illusions within the same task were attributable to both changes in bias (c) and d′. Event-related potentials recorded in our first experiment revealed that the SFI was associated with smaller P3 potentials than found in valid targets. We also noted differences in the response-locked error positivity (Pe), with illusory stimuli having more positive amplitudes than real targets. However, the earlier occurring error-related negativity (ERN) was indistinguishable in real and illusory targets. This suggests that participants were less confident of the illusion during stimulus evaluation and one stage of response monitoring. We evaluate these results in terms of the directed attention and information reliability hypotheses (Andersen et al., 2004, 2005) and discuss how these and similar experiments may deepen our understanding of how multisensory perception is impacted at multiple stages of stimulus and response evaluation

Acceptable Noise Levels and Electrophysiological Measures in Listeners with Hearing Impairment

Acceptable noise level (ANL) is a measure of a listener’s acceptance of background noise when listening to speech. A consistent finding in research on ANL is large intersubject variability in the acceptance of background noise. This variability is not related to age, gender, hearing sensitivity, type of background noise, speech perception in noise performance, cochlear responses, or efferent activity of the medial olivocochlear bundle pathways. Moreover, across ANL studies, young and elderly individuals with both hearing impairment and normal-hearing sensitivity display equivalent means and ranges for ANLs, indicating that acceptance of background noise may be an inherent characteristic of the individual that does not change with age, or the development of hearing loss. In the present study, auditory evoked potentials and encephalography (EEG) were examined in 40 adults with mild-to-moderately-severe sensorineural hearing impairment with low, mid-range, and high ANLs to determine whether or not differences in judgments of background noise are related to differences measured in aggregate physiological responses from the auditory nervous system. Group differences in the auditory brainstem response, auditory middle latency, cortical, auditory late latency, and EEG responses indicate that differences in more central regions of the nervous system contribute to the variability in the willingness of a listener with hearing impairment to accept background noise when listening to speech

Working Memory and Attention Deficits During a Letter Number Sequencing Task Post-Concussion

As the prevalence of sports related concussions rise, the long-term effects of concussions have garnered increasing research attention. Previous research has demonstrated that certain dimensions of executive function are especially susceptible to mild traumatic brain injury (mTBI), specifically working memory and attention. Previous studies using EEG have found that increased very low frequency oscillations (VLFO) disrupt goal-oriented activities and are associated with difficulties in cognition, hyperactivity and inattention in concussed individuals after mTBI. This study utilized continuous EEG during a letter number sequencing task on concussed and non-concussed individuals to assess deficits related to working memory and attention. It was hypothesized that concussed student athletes would display greater VLFO and decreased accuracy during the Millisecond Letter Number Sequencing Task. Results of this study showed evidence of a significant increase in the theta/beta ratio during the letter number reordering span in concussed individuals as well as shorter forward and overall span. This study allowed for the conclusion that concussed individuals show altered activity within the frontal lobe region during working memory tasks

Neurophysiological correlates of interpersonal discrepancy and social adjustment in an interactive decision-making task in dyads

Introduction: The pursuit of convergence and the social behavioral adjustment of conformity are fundamental cooperative behaviors that help people adjust their mental frameworks to reach a common goal. However, while social psychology has extensively studied conformity by its influence context, there is still plenty to investigate about the neural cognitive mechanisms involved in this behavior. Methods: We proposed a paradigm with two phases, a pre-activation phase to enhance cooperative tendencies and, later, a social decision-making phase in which dyads had to make a perceptual estimation in three consecutive trials and could converge in their decisions without an explicit request or reward to do so. In Study 1, 80 participants were divided in two conditions. In one condition participants did the pre-activation phase alone, while in the other condition the two participants did it with their partners and could interact freely. In Study 2, we registered the electroencephalographical (EEG) activity of 36 participants in the social decision-making phase. Results: Study 1 showed behavioral evidence of higher spontaneous convergence in participants who interacted in the pre-activation phase. Event related Potentials (ERP) recorded in Study 2 revealed signal differences in response divergence in different time intervals. Time-frequency analysis showed theta, alpha, and beta evidence related to cognitive control, attention, and reward processing associated with social convergence. Discussion: Current results support the spontaneous convergence of behavior in dyads, with increased behavioral adjustment in those participants who have previously cooperated. In addition, neurophysiological components were associated with discrepancy levels between participants, and supported the validity of the experimental paradigm to study spontaneous social behavioral adaptation in experimental settings

Using Measures of Risk Perception to Predict Information Security Behavior: Insights from Electroencephalography (EEG)

Users’ perceptions of risks have important implications for information security because individual users’ actions can compromise entire systems. Therefore, there is a critical need to understand how users perceive and respond to information security risks. Previous research on perceptions of information security risk has chiefly relied on self-reported measures. Although these studies are valuable, risk perceptions are often associated with feelings—such as fear or doubt—that are difficult to measure accurately using survey instruments. Additionally, it is unclear how these self-reported measures map to actual security behavior. This paper contributes to this topic by demonstrating that risk-taking behavior is effectively predicted using electroencephalography (EEG) via event-related potentials (ERPs). Using the Iowa Gambling Task, a widely used technique shown to be correlated with real-world risky behaviors, we show that the differences in neural responses to positive and negative feedback strongly predict users’ information security behavior in a separate laboratory-based computing task. In addition, we compare the predictive validity of EEG measures to that of self-reported measures of information security risk perceptions. Our experiments show that self-reported measures are ineffective in predicting security behaviors under a condition in which information security is not salient. However, we show that, when security concerns become salient, self-reported measures do predict security behavior. Interestingly, EEG measures significantly predict behavior in both salient and non-salient conditions, which indicates that EEG measures are a robust predictor of security behavior

QUANTIFYING THE PERSONAL CREATIVE EXPERIENCE: EVALUATION OF DIGITAL CREATIVITY SUPPORT TOOLS USING SELF-REPORT AND PHYSIOLOGICAL RESPONSES

Creativity is understood intuitively, but it is not easily defined and therefore diffi- cult to measure. This makes it challenging to evaluate the ability of a digital tool to support the creative process. When evaluating creativity support tools (CSTs), it is critical to look beyond traditional time, error, and other productivity measurements that are commonly used in Human-Computer Interaction (HCI) because these mea- sures do not capture all the relevant dimensions of creativity support. Unfortunately, there are no clear measures of success to quantify in regards to creativity support tools, and this lack of ‘convenient’ metrics is a real challenge to their evaluation. In this dissertation, I introduce two computational methodologies for evaluating creativity support tools, including: (1) the Creativity Support Index (CSI), which is a psychometrically developed and validated survey, designed for evaluating the ability of a tool to support the creative process of users, and (2) a novel sensor data approach to measuring ‘in-the-moment-creativity’ (ITMC), to detect moments when users experience high creativity using electroencephalography (EEG), activity metrics (e.g., keyboard/mouse logger and accelerometer data), and machine learning