Komal Grewal - Academia.edu (original) (raw)

Papers by Komal Grewal

International Journal of Advanced Research in Computer Science, Jun 23, 2017

Biometrics is used as an alternative for password based authentication systems and it becomes inc... more Biometrics is used as an alternative for password based authentication systems and it becomes increasingly attractive now a day. Despite of its popularity, biometric systems are vulnerable to spoof attacks, which can decrease the security of the system. In order to protect the system against spoof attacks, liveness detection can be integrated with biometric system and it can distinguish between real and fake sample at the very first sensor module level. Liveness detection has the capability to detect the biometric sample is alive or not. This paper includes basic introduction of liveness detection, various attack point in the biometric system and various techniques used in biometric traits to detect their life signs.

Emotion, Mar 27, 2023

Throughout the COVID-19 pandemic, policy makers have tried to balance the effectiveness of lockdo... more Throughout the COVID-19 pandemic, policy makers have tried to balance the effectiveness of lockdowns (i.e., stay-at-home orders) with their potential mental health costs. Yet, several years into the pandemic, policy makers lack solid evidence about the toll of lockdowns on daily emotional functioning. Using data from two intensive longitudinal studies conducted in Australia in 2021, we compared the intensity, persistence, and regulation of emotions on days in and out of lockdown. Participants (N = 441, observations = 14,511) completed a 7-day study either entirely in lockdown, entirely out of lockdown, or both in and out of lockdown. We assessed emotions in general (Dataset 1) and in the context of social interactions (Dataset 2). Lockdowns took an emotional toll, but this toll was relatively mild: In lockdown, people experienced slightly more negative and less positive emotion; returned to a mildly negative emotional state more quickly; and used low-effort emotion regulation strategies (i.e., distraction). There are three interpretations for our findings, which are not mutually exclusive. First, people may be relatively resilient to the emotional challenges posed by repeated lockdowns. Second, lockdowns may not compound the emotional challenges of the pandemic. Third, because we found effects even in a mostly childless and well-educated sample, lockdowns may take a greater emotional toll in samples with less pandemic privilege. Indeed, the high level of pandemic privilege of our sample limits the generalizability of our findings (e.g., to people with caregiving roles).

Throughout the COVID-19 pandemic, policy makers have tried to balance the effectiveness of lockdo... more Throughout the COVID-19 pandemic, policy makers have tried to balance the effectiveness of lockdowns (i.e., stay-at-home orders) with their potential mental health costs. Yet, several years into the pandemic, policy makers lack solid evidence about the toll of lockdowns on daily emotional functioning. Using data from two intensive longitudinal studies conducted in Australia in 2021, we compared the intensity, persistence, and regulation of emotions on days in and out of lockdown. Participants (N = 441, observations = 14,511) completed a 7-day study either entirely in lockdown, entirely out of lockdown, or both in and out of lockdown. We assessed emotions in general (Dataset 1) and in the context of social interactions (Dataset 2). Lockdowns took an emotional toll, but this toll was relatively mild: In lockdown, people experienced slightly more negative and less positive emotion; returned to a mildly negative emotional state more quickly; and used low-effort emotion regulation strate...

We are analysing two experience-sampling datasets collected between May and August 2021, during w... more We are analysing two experience-sampling datasets collected between May and August 2021, during which time Australia went in and out of COVID-19 related lockdowns. In these analyses, we will examine whether lockdown (in/out) changes emotional states and regulation strategy use. Dataset 1 (AURA) focuses on momentary affect and intrapersonal emotion regulation. Dataset 2 (SEEL) focuses on social emotions and interpersonal emotion regulation.

In this study, we examine whether accurate prediction of emotions is associated with better copin... more In this study, we examine whether accurate prediction of emotions is associated with better coping with emotions in everyday life. As an exploratory aim, we examine how accurate people are at predicting their emotions. These specific research questions were assessed as part of a larger data collection. The larger data collection is pre-registered at this link, where you will find all study details and the full data collection protocol: https://osf.io/j4x65/.

People often try to predict how they might feel in the future. These predictions can influence be... more People often try to predict how they might feel in the future. These predictions can influence behaviour. For example, if you think that the catch-up you have planned with a friend tomorrow will make you feel more stressed because it's just another thing to do, you might cancel the catch up. Alternatively, if you think tomorrow will be stressful, you might schedule a catch up with a friend to help relieve that stress. In this research, we investigate two primary questions around affective forecasting accuracy: (1) how accurate are people at predicting how they will feel in future? and (2) does accurately predicting how you will feel help people cope with your emotions when they occur? We also investigate an exploratory research question: how is forecasting accuracy affected by emotionally intense events? These research questions will be investigated using data from a larger study. We pre-registered a data collection protocol for the larger study on May 14, 2021, before data coll...

In this project, we investigate two groups of questions surrounding affect in everyday life. The ... more In this project, we investigate two groups of questions surrounding affect in everyday life. The first group of questions involve assessing affect. In this group of questions, we examine how different ways of measuring affect (i.e., using standard adjectives, idiographic adjectives, and an emoji grid representing the valence and arousal dimensions) correspond in terms of their mean levels, within- and between-person variability/dynamics, and correlations with other variables (e.g., positive/negative events, self-esteem, emotion regulation strategies). The second group of questions involve understanding and regulating affect. In this group of questions, we investigate the associations between effective emotion regulation and (1) monitoring emotions, (2) making accurate predictions about emotions, and (3) differentiating between emotions.

Interpersonal emotion regulation — the processes by which people change others' emotions or t... more Interpersonal emotion regulation — the processes by which people change others' emotions or their own through social means — is an emerging research area of interest. However, only limited research has investigated interpersonal emotion regulation in everyday life. This project aims to address this gap in the literature.

International Journal of Advanced Research in Computer Science, 2017

Abstract: Biometrics is used as an alternative for password based authentication systems and it b... more Abstract: Biometrics is used as an alternative for password based authentication systems and it becomes increasingly attractive now a day. Despite of its popularity, biometric systems are vulnerable to spoof attacks, which can decrease the security of the system. In order to protect the system against spoof attacks, liveness detection can be integrated with biometric system and it can distinguish between real and fake sample at the very first sensor module level. Liveness detection has the capability to detect the biometric sample is alive or not. This paper includes basic introduction of liveness detection, various attack point in the biometric system and various techniques used in biometric traits to detect their life signs.

People often think about how they might feel tomorrow or next week. Research on affective forecas... more People often think about how they might feel tomorrow or next week. Research on affective forecasting suggests people overestimate their future feelings, but it remains unknown whether this pattern extends to everyday affective forecasts. We aimed to test whether people can accurately forecast their daily and weekly affect, and whether accuracy is associated with emotional benefits. At baseline, participants (N=209) forecasted how they would feel over the next week. Each evening for 7-days, participants forecasted tomorrow’s affect, and rated today’s affect, emotion-focused coping, and life satisfaction. Participants were relatively accurate in predicting tomorrow’s affect but showed evidence of absolute inaccuracy by overestimating their exact affect level. Forecasting accuracy did not predict emotion-focused coping or daily life satisfaction, but experienced affect did. Thus, people may be better off focusing on managing their emotions when they arise, rather than trying to manage...

International Journal of Advanced Research in Computer Science, Jun 23, 2017

Biometrics is used as an alternative for password based authentication systems and it becomes inc... more Biometrics is used as an alternative for password based authentication systems and it becomes increasingly attractive now a day. Despite of its popularity, biometric systems are vulnerable to spoof attacks, which can decrease the security of the system. In order to protect the system against spoof attacks, liveness detection can be integrated with biometric system and it can distinguish between real and fake sample at the very first sensor module level. Liveness detection has the capability to detect the biometric sample is alive or not. This paper includes basic introduction of liveness detection, various attack point in the biometric system and various techniques used in biometric traits to detect their life signs.

Emotion, Mar 27, 2023

Throughout the COVID-19 pandemic, policy makers have tried to balance the effectiveness of lockdo... more Throughout the COVID-19 pandemic, policy makers have tried to balance the effectiveness of lockdowns (i.e., stay-at-home orders) with their potential mental health costs. Yet, several years into the pandemic, policy makers lack solid evidence about the toll of lockdowns on daily emotional functioning. Using data from two intensive longitudinal studies conducted in Australia in 2021, we compared the intensity, persistence, and regulation of emotions on days in and out of lockdown. Participants (N = 441, observations = 14,511) completed a 7-day study either entirely in lockdown, entirely out of lockdown, or both in and out of lockdown. We assessed emotions in general (Dataset 1) and in the context of social interactions (Dataset 2). Lockdowns took an emotional toll, but this toll was relatively mild: In lockdown, people experienced slightly more negative and less positive emotion; returned to a mildly negative emotional state more quickly; and used low-effort emotion regulation strategies (i.e., distraction). There are three interpretations for our findings, which are not mutually exclusive. First, people may be relatively resilient to the emotional challenges posed by repeated lockdowns. Second, lockdowns may not compound the emotional challenges of the pandemic. Third, because we found effects even in a mostly childless and well-educated sample, lockdowns may take a greater emotional toll in samples with less pandemic privilege. Indeed, the high level of pandemic privilege of our sample limits the generalizability of our findings (e.g., to people with caregiving roles).

Throughout the COVID-19 pandemic, policy makers have tried to balance the effectiveness of lockdo... more Throughout the COVID-19 pandemic, policy makers have tried to balance the effectiveness of lockdowns (i.e., stay-at-home orders) with their potential mental health costs. Yet, several years into the pandemic, policy makers lack solid evidence about the toll of lockdowns on daily emotional functioning. Using data from two intensive longitudinal studies conducted in Australia in 2021, we compared the intensity, persistence, and regulation of emotions on days in and out of lockdown. Participants (N = 441, observations = 14,511) completed a 7-day study either entirely in lockdown, entirely out of lockdown, or both in and out of lockdown. We assessed emotions in general (Dataset 1) and in the context of social interactions (Dataset 2). Lockdowns took an emotional toll, but this toll was relatively mild: In lockdown, people experienced slightly more negative and less positive emotion; returned to a mildly negative emotional state more quickly; and used low-effort emotion regulation strate...

We are analysing two experience-sampling datasets collected between May and August 2021, during w... more We are analysing two experience-sampling datasets collected between May and August 2021, during which time Australia went in and out of COVID-19 related lockdowns. In these analyses, we will examine whether lockdown (in/out) changes emotional states and regulation strategy use. Dataset 1 (AURA) focuses on momentary affect and intrapersonal emotion regulation. Dataset 2 (SEEL) focuses on social emotions and interpersonal emotion regulation.

In this study, we examine whether accurate prediction of emotions is associated with better copin... more In this study, we examine whether accurate prediction of emotions is associated with better coping with emotions in everyday life. As an exploratory aim, we examine how accurate people are at predicting their emotions. These specific research questions were assessed as part of a larger data collection. The larger data collection is pre-registered at this link, where you will find all study details and the full data collection protocol: https://osf.io/j4x65/.

People often try to predict how they might feel in the future. These predictions can influence be... more People often try to predict how they might feel in the future. These predictions can influence behaviour. For example, if you think that the catch-up you have planned with a friend tomorrow will make you feel more stressed because it's just another thing to do, you might cancel the catch up. Alternatively, if you think tomorrow will be stressful, you might schedule a catch up with a friend to help relieve that stress. In this research, we investigate two primary questions around affective forecasting accuracy: (1) how accurate are people at predicting how they will feel in future? and (2) does accurately predicting how you will feel help people cope with your emotions when they occur? We also investigate an exploratory research question: how is forecasting accuracy affected by emotionally intense events? These research questions will be investigated using data from a larger study. We pre-registered a data collection protocol for the larger study on May 14, 2021, before data coll...

In this project, we investigate two groups of questions surrounding affect in everyday life. The ... more In this project, we investigate two groups of questions surrounding affect in everyday life. The first group of questions involve assessing affect. In this group of questions, we examine how different ways of measuring affect (i.e., using standard adjectives, idiographic adjectives, and an emoji grid representing the valence and arousal dimensions) correspond in terms of their mean levels, within- and between-person variability/dynamics, and correlations with other variables (e.g., positive/negative events, self-esteem, emotion regulation strategies). The second group of questions involve understanding and regulating affect. In this group of questions, we investigate the associations between effective emotion regulation and (1) monitoring emotions, (2) making accurate predictions about emotions, and (3) differentiating between emotions.

Interpersonal emotion regulation — the processes by which people change others' emotions or t... more Interpersonal emotion regulation — the processes by which people change others' emotions or their own through social means — is an emerging research area of interest. However, only limited research has investigated interpersonal emotion regulation in everyday life. This project aims to address this gap in the literature.

International Journal of Advanced Research in Computer Science, 2017

Abstract: Biometrics is used as an alternative for password based authentication systems and it b... more Abstract: Biometrics is used as an alternative for password based authentication systems and it becomes increasingly attractive now a day. Despite of its popularity, biometric systems are vulnerable to spoof attacks, which can decrease the security of the system. In order to protect the system against spoof attacks, liveness detection can be integrated with biometric system and it can distinguish between real and fake sample at the very first sensor module level. Liveness detection has the capability to detect the biometric sample is alive or not. This paper includes basic introduction of liveness detection, various attack point in the biometric system and various techniques used in biometric traits to detect their life signs.

People often think about how they might feel tomorrow or next week. Research on affective forecas... more People often think about how they might feel tomorrow or next week. Research on affective forecasting suggests people overestimate their future feelings, but it remains unknown whether this pattern extends to everyday affective forecasts. We aimed to test whether people can accurately forecast their daily and weekly affect, and whether accuracy is associated with emotional benefits. At baseline, participants (N=209) forecasted how they would feel over the next week. Each evening for 7-days, participants forecasted tomorrow’s affect, and rated today’s affect, emotion-focused coping, and life satisfaction. Participants were relatively accurate in predicting tomorrow’s affect but showed evidence of absolute inaccuracy by overestimating their exact affect level. Forecasting accuracy did not predict emotion-focused coping or daily life satisfaction, but experienced affect did. Thus, people may be better off focusing on managing their emotions when they arise, rather than trying to manage...