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Type And Interval Aware Array Constraint Solving For Symbolic Execution, Ziqi Shuai, Zhenbang Chen, Yufeng Zhang, Jun Sun, Ji Wang Aug 2021

Type And Interval Aware Array Constraint Solving For Symbolic Execution, Ziqi Shuai, Zhenbang Chen, Yufeng Zhang, Jun Sun, Ji Wang

Research Collection School Of Computing and Information Systems

Array constraints are prevalent in analyzing a program with symbolic execution. Solving array constraints is challenging due to the complexity of the precise encoding for arrays. In this work, we propose to synergize symbolic execution and array constraint solving. Our method addresses the difficulties in solving array constraints with novel ideas. First, we propose a lightweight method for pre-checking the unsatisfiability of array constraints based on integer linear programming. Second, observing that encoding arrays at the byte-level introduces many redundant axioms that reduce the effectiveness of constraint solving, we propose type and interval aware axiom generation. Note that the type …

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The Impact Of Temperature On Labor Quality: Umpire Accuracy In Major League Baseball, Eric Fesselmeyer Jul 2021

The Impact Of Temperature On Labor Quality: Umpire Accuracy In Major League Baseball, Eric Fesselmeyer

Research Collection College of Integrative Studies

Using data from Major League Baseball, I compute an objective measure of the home plate umpire's work quality-the accuracy of his ball and strike calls during a game-and measure how it varies with temperature. I find that an increase in game-time temperature from between 70 and 80 degrees F to above 95 degrees F decreases an umpire's accuracy by a little less than a percentage point, which is a 5.5% increase in the pitch-calling error rate when evaluated at the mean error rate of 13.3%. Restricting the sample to borderline pitches increases the magnitude of the hot-weather effect on accuracy …

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The Unique Role Of The State Press In The Chinese Economy, Singapore Management University Jul 2021

The Unique Role Of The State Press In The Chinese Economy, Singapore Management University

Perspectives@SMU

CUHK research investigates the role played by China’s state-owned media in supplying information vital to the functioning of China’s capital markets

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Covid-19 Responses: A Living Archive, Centre For Ai & Data Governance (Smu) Jul 2021

Covid-19 Responses: A Living Archive, Centre For Ai & Data Governance (Smu)

Centre for AI & Data Governance (2019-2025)

COVID-19 has reshaped our lives, the global economy, and the geopolitical landscape in unimaginable ways. Socio-economic disruptions are keenly felt across every sector in every country and irreversible damage has been done to our collective health and livelihood opportunities. From a health crisis, the pandemic has insidiously unfolded into a human one - where efforts taken to contain the virus have resulted in the targeting and/or neglect of vulnerable populations, the exacerbation of structural inequalities, and the pushback against fundamental rights and freedoms. The prolonging of this health crisis has also accentuated the need for better governance as questions of …

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Generalized Local-To-Unity Models, Liyu Dou, Ulrich K. Müller Jul 2021

Generalized Local-To-Unity Models, Liyu Dou, Ulrich K. Müller

Research Collection School Of Economics

We introduce a generalization of the popular local‐to‐unity model of time series persistence by allowing for p autoregressive (AR) roots and p − 1 moving average (MA) roots close to unity. This generalized local‐to‐unity model, GLTU(p), induces convergence of the suitably scaled time series to a continuous time Gaussian ARMA(p,p − 1) process on the unit interval. Our main theoretical result establishes the richness of this model class, in the sense that it can well approximate a large class of processes with stationary Gaussian limits that are not entirely distinct from the unit root benchmark. We show that Campbell and …

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Competition And Cheating: Investigating The Role Of Moral Awareness, Moral Identity, And Moral Elevation, Abhijeet K. Vadera, Chandra Shekhar Pathki Jul 2021

Competition And Cheating: Investigating The Role Of Moral Awareness, Moral Identity, And Moral Elevation, Abhijeet K. Vadera, Chandra Shekhar Pathki

Research Collection Lee Kong Chian School Of Business

Competition can lead individuals to cheat; yet our knowledge of why competition affects cheating and how to mitigate these effects is limited. To address this limitation, we first contrast two theories: arousal theories of competition (via desire to win) and social cognitive theory (via impaired moral awareness). Our results were consistent with social cognitive theory in that competition impairs moral awareness and that this impairment explains why people cheat. We therefore build on social cognitive theory and show that two factors, moral identity and moral elevation, which are likely to make morality salient, moderated the effects of competition on cheating …

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A Unified Market Model For Swaptions And Constant Maturity Swaps, Chyng Wen Tee, Jeroen Kerkhof Jul 2021

A Unified Market Model For Swaptions And Constant Maturity Swaps, Chyng Wen Tee, Jeroen Kerkhof

Research Collection Lee Kong Chian School Of Business

Internal-rate-of-return (IRR) settled swaptions are the main interest rate volatility instruments in the European interest rate markets. Industry practice is to use an approximation formula to price IRR swaptions based on Black model, which is not arbitrage-free. We formulate a unified market model to incorporate both swaptions and constant maturity swaps (CMS) pricing under a single, self-consistent framework. We demonstrate that the model is able to calibrate to market quotes well, and is also able to efficiently price both IRR-settled and swap-settled swaptions, along with CMS products. We use the model to illustrate the difference in implied volatilities for IRR-settled …

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Experience Base, Strategy-By-Doing And New Product Performance, Liang Chen, Mengmeng Wang, Lin Cui, Sali Li Jul 2021

Experience Base, Strategy-By-Doing And New Product Performance, Liang Chen, Mengmeng Wang, Lin Cui, Sali Li

Research Collection Lee Kong Chian School Of Business

Research Summary Strategy research views firms' diverse experience base as critical to new product success. It also champions strategy-by-doing in entrepreneurial settings. This study juxtaposes and bridges these two perspectives to better understand product development. We propose that while a firm's product portfolio diversity contributes to new product success only to a certain degree, design iteration-a postlaunch strategy-by-doing approach-is positively associated with new product performance. Our core contribution points to a complementary relationship: strategy-by-doing helps mitigate the capacity constraints problem that prevents firms from successfully adapting product development capabilities to a dynamic market. Our analysis of a sample of 2,182 …

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The Impacts Of Ethical Philosophy On The Corporate Hypocrisy Perception And Communication Intentions Toward Csr, Kyujin Shim, Jeong-Nam Kim Jul 2021

The Impacts Of Ethical Philosophy On The Corporate Hypocrisy Perception And Communication Intentions Toward Csr, Kyujin Shim, Jeong-Nam Kim

Research Collection Lee Kong Chian School Of Business

This study investigates how perceptions of corporate hypocrisy from the Corporate Social Responsibility (CSR) activities connect the public’s ethical philosophy to subsequent positive/negative opinion-sharing intention. With special attention to deontology and consequentialism in normative ethics of philosophy, the current study empirically tests a theoretical model of perceived corporate hypocrisy with two causal antecedents (i.e., individual moral philosophy of deontology and consequentialism), and the mediating role of corporate hypocrisy between such antecedents and the publics’ subsequent communication intention (i.e., positive and negative opinion-sharing intentions) toward a firm. Results indicate significant mediation effects of corporate hypocrisy between personal ethical orientations and the …

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Step-Wise Deep Learning Models For Solving Routing Problems, Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang Jul 2021

Step-Wise Deep Learning Models For Solving Routing Problems, Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

Research Collection School Of Computing and Information Systems

Routing problems are very important in intelligent transportation systems. Recently, a number of deep learning-based methods are proposed to automatically learn construction heuristics for solving routing problems. However, these methods do not completely follow Bellman's Principle of Optimality since the visited nodes during construction are still included in the following subtasks, resulting in suboptimal policies. In this article, we propose a novel step-wise scheme which explicitly removes the visited nodes in each node selection step. We apply this scheme to two representative deep models for routing problems, pointer network and transformer attention model (TAM), and significantly improve the performance of …

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Vibransee: Enabling Simultaneous Visible Light Communication And Sensing, Ila Nitin Gokarn, Archan Misra Jul 2021

Vibransee: Enabling Simultaneous Visible Light Communication And Sensing, Ila Nitin Gokarn, Archan Misra

Research Collection School Of Computing and Information Systems

Driven by the ubiquitous proliferation of low-cost LED luminaires, visible light communication (VLC) has been established as a high-speed communications technology based on the high-frequency modulation of an optical source. In parallel, Visible Light Sensing (VLS) has recently demonstrated how vision-based at-a-distance sensing of mechanical vibrations (e.g., of factory equipment) can be performed using high frequency optical strobing. However, to date, exemplars of VLC and VLS have been explored in isolation, without consideration of their mutual dependencies. In this work, we explore whether and how high-throughput VLC and high-coverage VLS can be simultaneously supported. We first demonstrate the existence of …

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Frameaxis: Characterizing Microframe Bias And Intensity With Word Embedding, Haewoon Kwak, Jisun An, Elise Jing Jing, Yong-Yeol Ahn Jul 2021

Frameaxis: Characterizing Microframe Bias And Intensity With Word Embedding, Haewoon Kwak, Jisun An, Elise Jing Jing, Yong-Yeol Ahn

Research Collection School Of Computing and Information Systems

Framing is a process of emphasizing a certain aspect of an issue over the others, nudging readers or listeners towards different positions on the issue even without making a biased argument. Here, we propose FrameAxis, a method for characterizing documents by identifying the most relevant semantic axes (“microframes”) that are overrepresented in the text using word embedding. Our unsupervised approach can be readily applied to large datasets because it does not require manual annotations. It can also provide nuanced insights by considering a rich set of semantic axes. FrameAxis is designed to quantitatively tease out two important dimensions of how …

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Privacy-Preserving Proof Of Storage For The Pay-As-You-Go Business Model, Tong Wu, Guomin Yang, Yi Mu, Fuchun Guo, Robert H. Deng Jul 2021

Privacy-Preserving Proof Of Storage For The Pay-As-You-Go Business Model, Tong Wu, Guomin Yang, Yi Mu, Fuchun Guo, Robert H. Deng

Research Collection School Of Computing and Information Systems

Proof of Storage (PoS) enables a cloud storage provider to prove that a client's data is intact. However, existing PoS protocols are not designed for the pay-as-you-go business model in which payment is made based on both storage volume and duration. In this paper, we propose two PoS protocols suitable for the pay-as-you-go storage business model. The first is a time encapsulated Proof of Retrievability (PoR) protocol that ensures retrievability of the original file upon successful auditing by a client. Considering the large size of outsourced data, we then extend the protocol to a privacy-preserving public auditing protocol which allows …

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Digital Innovation: A Catalyst And Enabler Of Achieving Business Sustainability, Clarence Goh, Gary Pan, Poh Sun Seow, Shankararaman, Venky Jul 2021

Digital Innovation: A Catalyst And Enabler Of Achieving Business Sustainability, Clarence Goh, Gary Pan, Poh Sun Seow, Shankararaman, Venky

Research Collection School Of Accountancy

Today, many companies are actively incorporating sustainability principles into their business strategies. This movement is likely to have resulted from an ongoing shift in the demands and behaviours of customers, employees, partners, governments, investors and other stakeholders that expect companies to act with integrity and in a way that benefits wider society. The emphasis on achieving sustainability goals has led to increasing adoption of “triple bottom line”, which suggests that companies ought to pay attention to more than just the bottom-line, but also measure their environmental and societal impacts that may help to achieve long-term business growth. Typically, companies with …

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Embracing Digital Transformation In Accounting And Finance, Poh Sun Seow, Clarence Goh, Gary Pan, Melvin Yong, Joanna Chek Jul 2021

Embracing Digital Transformation In Accounting And Finance, Poh Sun Seow, Clarence Goh, Gary Pan, Melvin Yong, Joanna Chek

Research Collection School Of Accountancy

Digital transformation involves the integration of digital technologies and business processes. Recent developments in digital technologies have provided organisations with the tools to embark on digital transformation encompassing a wide range of business processes and activities. Organisations that can leverage on technology to digitally transform themselves stand to put themselves at a significant competitive advantage relative to their competitors.

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Emotioncues: Emotion-Oriented Visual Summarization Of Classroom Videos, Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, Huamin Qu Jul 2021

Emotioncues: Emotion-Oriented Visual Summarization Of Classroom Videos, Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, Huamin Qu

Research Collection School Of Computing and Information Systems

Analyzing students' emotions from classroom videos can help both teachers and parents quickly know the engagement of students in class. The availability of high-definition cameras creates opportunities to record class scenes. However, watching videos is time-consuming, and it is challenging to gain a quick overview of the emotion distribution and find abnormal emotions. In this paper, we propose EmotionCues, a visual analytics system to easily analyze classroom videos from the perspective of emotion summary and detailed analysis, which integrates emotion recognition algorithms with visualizations. It consists of three coordinated views: a summary view depicting the overall emotions and their dynamic …

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On The Generalizability Of Neural Program Models With Respect To Semantic-Preserving Program Transformations, Md Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang, Yijun Yu, Lingxiao Jiang Jul 2021

On The Generalizability Of Neural Program Models With Respect To Semantic-Preserving Program Transformations, Md Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang, Yijun Yu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Context: With the prevalence of publicly available source code repositories to train deep neural network models, neural program models can do well in source code analysis tasks such as predicting method names in given programs that cannot be easily done by traditional program analysis techniques. Although such neural program models have been tested on various existing datasets, the extent to which they generalize to unforeseen source code is largely unknown. Objective: Since it is very challenging to test neural program models on all unforeseen programs, in this paper, we propose to evaluate the generalizability of neural program models with respect …

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Recent Advances In Network-Based Methods For Disease Gene Prediction, Sezin Kircali Ata, Min Wu, Yuan Fang, Ou-Yang Le, Chee Keong Kwoh, Xiao-Li Li Jul 2021

Recent Advances In Network-Based Methods For Disease Gene Prediction, Sezin Kircali Ata, Min Wu, Yuan Fang, Ou-Yang Le, Chee Keong Kwoh, Xiao-Li Li

Research Collection School Of Computing and Information Systems

Disease-gene association through Genome-wide association study (GWAS) is an arduous task for researchers. Investigating single nucleotide polymorphisms (SNPs) that correlate with specific diseases needs statistical analysis of associations. Considering the huge number of possible mutations, in addition to its high cost, another important drawback of GWAS analysis is the large number of false-positives. Thus, researchers search for more evidence to cross-check their results through different sources. To provide the researchers with alternative and complementary low-cost disease-gene association evidence, computational approaches come into play. Since molecular networks are able to capture complex interplay among molecules in diseases, they become one of …

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Attack As Defense: Characterizing Adversarial Examples Using Robustness, Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang, Fu Song, Jun Sun Jul 2021

Attack As Defense: Characterizing Adversarial Examples Using Robustness, Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang, Fu Song, Jun Sun

Research Collection School Of Computing and Information Systems

As a new programming paradigm, deep learning has expanded its application to many real-world problems. At the same time, deep learning based software are found to be vulnerable to adversarial attacks. Though various defense mechanisms have been proposed to improve robustness of deep learning software, many of them are ineffective against adaptive attacks. In this work, we propose a novel characterization to distinguish adversarial examples from benign ones based on the observation that adversarial examples are significantly less robust than benign ones. As existing robustness measurement does not scale to large networks, we propose a novel defense framework, named attack …

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Task Similarity Aware Meta Learning: Theory-Inspired Improvement On Maml, Pan Zhou, Yingtian Zpu, Xiaotong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi Jul 2021

Task Similarity Aware Meta Learning: Theory-Inspired Improvement On Maml, Pan Zhou, Yingtian Zpu, Xiaotong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Few-shot learning ability is heavily desired for machine intelligence. By meta-learning a model initialization from training tasks with fast adaptation ability to new tasks, model-agnostic meta-learning (MAML) has achieved remarkable success in a number of few-shot learning applications. However, theoretical understandings on the learning ability of MAML remain absent yet, hindering developing new and more advanced meta learning methods in a principled way. In this work, we solve this problem by theoretically justifying the fast adaptation capability of MAML when applied to new tasks. Specifically, we prove that the learnt meta-initialization can benefit the fast adaptation to new tasks with …

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Order-Agnostic Cross Entropy For Non-Autoregressive Machine Translation, Cunxiao Du, Zhaopeng Tu, Jing Jiang Jul 2021

Order-Agnostic Cross Entropy For Non-Autoregressive Machine Translation, Cunxiao Du, Zhaopeng Tu, Jing Jiang

Research Collection School Of Computing and Information Systems

We propose a new training objective named orderagnostic cross entropy (OAXE) for fully nonautoregressive translation (NAT) models. OAXE improves the standard cross-entropy loss to ameliorate the effect of word reordering, which is a common source of the critical multimodality problem in NAT. Concretely, OAXE removes the penalty for word order errors, and computes the cross entropy loss based on the best possible alignment between model predictions and target tokens. Since the log loss is very sensitive to invalid references, we leverage cross entropy initialization and loss truncation to ensure the model focuses on a good part of the search space. …

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Rnnrepair: Automatic Rnn Repair Via Model-Based Analysis, Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing Jul 2021

Rnnrepair: Automatic Rnn Repair Via Model-Based Analysis, Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing

Research Collection School Of Computing and Information Systems

Deep neural networks are vulnerable to adversarial attacks. Due to their black-box nature, it is rather challenging to interpret and properly repair these incorrect behaviors. This paper focuses on interpreting and repairing the incorrect behaviors of Recurrent Neural Networks (RNNs). We propose a lightweight model-based approach (RNNRepair) to help understand and repair incorrect behaviors of an RNN. Specifically, we build an influence model to characterize the stateful and statistical behaviors of an RNN over all the training data and to perform the influence analysis for the errors. Compared with the existing techniques on influence function, our method can efficiently estimate …

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Bias Field Poses A Threat To Dnn-Based X-Ray Recognition, Bingyu Tian, Qing Guo, Felix Juefei-Xu, Wen Le Chan, Yupeng Cheng, Xiaohong Li, Xiaofei Xie, Shengchao Qin Jul 2021

Bias Field Poses A Threat To Dnn-Based X-Ray Recognition, Bingyu Tian, Qing Guo, Felix Juefei-Xu, Wen Le Chan, Yupeng Cheng, Xiaohong Li, Xiaofei Xie, Shengchao Qin

Research Collection School Of Computing and Information Systems

Chest X-ray plays a key role in screening and diagnosis of many lung diseases including the COVID-19. Many works construct deep neural networks (DNNs) for chest X-ray images to realize automated and efficient diagnosis of lung diseases. However, bias field caused by the improper medical image acquisition process widely exists in the chest X-ray images while the robustness of DNNs to the bias field is rarely explored, posing a threat to the X-ray-based automated diagnosis system. In this paper, we study this problem based on the adversarial attack and propose a brand new attack, i.e., adversarial bias field attack where …

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The Unmeritorious ‘Legality’/‘Merits’ Distinction In Singapore Administrative Law, Benjamin Joshua Ong Jul 2021

The Unmeritorious ‘Legality’/‘Merits’ Distinction In Singapore Administrative Law, Benjamin Joshua Ong

Research Collection Yong Pung How School Of Law

The Singapore courts often state that judicial review of executive decision-making ought only to involve an inquiry into the ‘legality’ of a decision or the ‘decision-making process’, and not the ‘decision itself’ or its ‘merits’ – let us call this the ‘Distinction’. This paper argues that the Distinction should be expunged from Singapore law. The Distinction has its roots in English case law which aimed to prevent the courts from arbitrarily substituting their decision for the executive’s by reason of mere disagreement. But Singapore case law has gone further and treated the Distinction as a general principle applicable to all …

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Tears Evoke The Intention To Offer Social Support: A Systematic Investigation Of The Interpersonal Effects Of Emotional Crying Across 41 Countries, J. H. Zickfeld, N. Van De Ven, O. Pich, T. Schubert, J. B. Berkessel, J. J. Pizarro, B. Bhushan, N. J. Mateo, Andree Hartanto Jul 2021

Tears Evoke The Intention To Offer Social Support: A Systematic Investigation Of The Interpersonal Effects Of Emotional Crying Across 41 Countries, J. H. Zickfeld, N. Van De Ven, O. Pich, T. Schubert, J. B. Berkessel, J. J. Pizarro, B. Bhushan, N. J. Mateo, Andree Hartanto

Research Collection School of Social Sciences

Tearful crying is a ubiquitous and likely uniquely human phenomenon. Scholars have argued that emotional tears serve an attachment function: Tears are thought to act as a social glue by evoking social support intentions. Initial experimental studies supported this proposition across several methodologies, but these were conducted almost exclusively on participants from North America and Europe, resulting in limited generalizability. This project examined the tears-social support intentions effect and possible mediating and moderating variables in a fully pre-registered study across 7007 participants (24,886 ratings) and 41 countries spanning all populated continents. Participants were presented with four pictures out of 100 …

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Who Is A Wise Person? Zhuangzi And Epistemological Discussions Of Wisdom, Shane Ryan, Karyn Lai Jul 2021

Who Is A Wise Person? Zhuangzi And Epistemological Discussions Of Wisdom, Shane Ryan, Karyn Lai

Research Collection School of Social Sciences

This essay articulates the contribution that the Zhuangzi can make to contemporary epistemological discussions of wisdom. It suggests that wisdom in the Zhuangzi involves, in part, correctly distinguishing the "heavenly" (or the naturally given) from human artifice. It is important for humanity to understand naturally given conditions (e.g., seasons, climate, forces, mortality) to grasp what is within, and what beyond, our initiatives. To enable this, we need to be openly engaged with the world, rather than approach it with rigid convictions about outcomes or goals. We characterize such openness and readiness to engage as an attitude, that of "epistemic humility." …

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Adam Smith, Settler Colonialism, And Limits Of Liberal Anti-Imperialism, Onur Ulas Ince Jul 2021

Adam Smith, Settler Colonialism, And Limits Of Liberal Anti-Imperialism, Onur Ulas Ince

Research Collection School of Social Sciences

Recent scholarship has claimed Adam Smith's frontal attack on the mercantile system as a precocious expression of liberal anti-imperialism. This paper argues that settler colonialism in North America represented an important exception and limit to Smith’s anti-imperial commitments. Smith spared agrarian settler colonies from his invective against other imperial practices like chattel slavery and trade monopolies because of the colonies’ evidentiary significance for his “system of natural liberty.” Smith’s embrace of settler colonies involved him in an ideological conundrum insofar as the prosperity of these settlements rested on imperial expansion and seizure of land from the indigenous peoples. Smith navigated …

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Information Avoidance And Medical Screening: A Field Experiment In China, Yufeng Li, Juanjuan Meng, Changcheng Song, Kai Zheng Jul 2021

Information Avoidance And Medical Screening: A Field Experiment In China, Yufeng Li, Juanjuan Meng, Changcheng Song, Kai Zheng

Research Collection Lee Kong Chian School Of Business

Will individuals, especially high-risk individuals, avoid a disease test because of information avoidance? We conduct a field experiment to investigate this issue. We vary the price of a diabetes test (price experiment) and offer both a diabetes test and a cancer test (disease experiment) after eliciting participants’ subjective beliefs about their disease risk. We find evidence that, first, some people avoid the test even when there is neither a monetary nor a transaction cost, and second, both low- and high-risk individuals select out of the test as the price increases. We explain our findings using three classes of models of …

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The Salience Of Choice Fuels Independence: Implications For Self-Perception, Cognition, And Behavior, Kevin Nanakdewa, Shilpa Madan, Krishna Savani, Hazel Rose Markus Jul 2021

The Salience Of Choice Fuels Independence: Implications For Self-Perception, Cognition, And Behavior, Kevin Nanakdewa, Shilpa Madan, Krishna Savani, Hazel Rose Markus

Research Collection Lee Kong Chian School Of Business

More than ever before, people across the world are exposed to ideas of choice and have opportunities to make choices. What are the consequences of this rapidly expanding exposure to the ideas and practice of choice? The current research investigated an unexamined and potentially powerful consequence of this salience of choice: an awareness and experience of independence. Four studies (n = 1,288) across three cultural contexts known to differ in both the salience of choice and the cultural emphasis on independence (the United States, Singapore, and India) provided converging evidence of a link between the salience of choice and independence. …

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Understanding But Unhelpful: Do Grateful People Value Responsiveness Or Perceived Benefit When Receiving Help?, Elizabeth Lim Jul 2021

Understanding But Unhelpful: Do Grateful People Value Responsiveness Or Perceived Benefit When Receiving Help?, Elizabeth Lim

Dissertations and Theses Collection (Open Access)

Two studies examined the links between the grateful disposition, cognitive appraisals (perceived value and perceived responsiveness), state gratitude, and affiliative intentions (one’s desire to build or maintain relationships with his/her benefactor). In Study 1, 248 participants went through a guided scenario task where they recalled help experiences that were helpful and not so helpful. Dispositional gratitude predicted perceived value and perceived responsiveness (H1A and H1B). These cognitive appraisals in turn predicted state gratitude (H2 and H3). Finally, state gratitude predicted affiliative intentions (H4). Supporting H5A and H5B, cognitive appraisals and state gratitude mediated the link between dispositional gratitude and affiliative …

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