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Articles 1441 - 1470 of 2149
Full-Text Articles in Software Engineering
Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System, Sungjun Kwon, Dongseok Lee, Jeehoon Kim, Youngki Lee, Seungwoo Kang, Sangwon Seo, Kwangsuk Park
Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System, Sungjun Kwon, Dongseok Lee, Jeehoon Kim, Youngki Lee, Seungwoo Kang, Sangwon Seo, Kwangsuk Park
Research Collection School Of Computing and Information Systems
In our preliminary study, we proposed a smartphone-integrated, unobtrusive electrocardiogram (ECG) monitoring system, Sinabro, which monitors a user's ECG opportunistically during daily smartphone use without explicit user intervention. The proposed system also monitors ECG-derived features, such as heart rate (HR) and heart rate variability (HRV), to support the pervasive healthcare apps for smartphones based on the user's high-level contexts, such as stress and affective state levels. In this study, we have extended the Sinabro system by: (1) upgrading the sensor device; (2) improving the feature extraction process; and (3) evaluating extensions of the system. We evaluated these extensions with a …
A Large Scale Study Of Multiple Programming Languages And Code Quality, Pavneet Singh Kochhar, Withthige Dinusha Ruchira Wijedasa, David Lo
A Large Scale Study Of Multiple Programming Languages And Code Quality, Pavneet Singh Kochhar, Withthige Dinusha Ruchira Wijedasa, David Lo
Research Collection School Of Computing and Information Systems
Nowadays, most software use multiple programming languages to implement certain functionalities based on the strengths and weaknesses of different languages. Researchers in the past have studied the impact of independent programming languages on software quality, however, there has been little or no research on the impact of multiple languages on the quality of software. Does the use of multiple languages cause more bugs? Are certain languages when used with other languages make software more bug prone? What are the relationships between multi-language usage and various bug categories? In this study, we perform a large scale empirical investigation to shed light …
An Adaptive Wireless Passive Human Detection Via Fine-Grained Physical Layer Information, Liangyi Gong, Wu Yang, Zimu Zhou, Dapeng Man, Haibin Cai, Xiancun Zhou, Zheng Yang
An Adaptive Wireless Passive Human Detection Via Fine-Grained Physical Layer Information, Liangyi Gong, Wu Yang, Zimu Zhou, Dapeng Man, Haibin Cai, Xiancun Zhou, Zheng Yang
Research Collection School Of Computing and Information Systems
Wireless device-free passive human detection is a key enabler for a range of indoor location-based services such as asset security, emergency responses, privacy-preserving children and elderly monitoring, etc. Since the feature of received signal varies with different multipath propagation conditions, an labor-intensive on-site calibration procedure is almost indispensable to decide the optimal scenario-specific threshold for human detection. Such overhead, however, impedes readily and fast deployment of wireless device-free human detection systems in practical indoor environments. In this work, we explore PHY layer multipath profiling information to extract a novel quantitative metric Ks as an indicator for link sensitivity, and further …
A More Accurate Model For Finding Tutorial Segments Explaining Apis, He Jiang, Jingxuan Zhang, Xiaochen Li, Zhilei Ren, David Lo
A More Accurate Model For Finding Tutorial Segments Explaining Apis, He Jiang, Jingxuan Zhang, Xiaochen Li, Zhilei Ren, David Lo
Research Collection School Of Computing and Information Systems
Developers prefer to utilize third-party libraries when they implement some functionalities and Application Programming Interfaces (APIs) are frequently used by them. Facing an unfamiliar API, developers tend to consult tutorials as learning resources. Unfortunately, the segments explaining a specific API scatter across tutorials. Hence, it remains a challenging issue to find the relevant segments. In this study, we propose a more accurate model to find the exact tutorial fragments explaining APIs. This new model consists of a text classifier with domain specific features. More specifically, we discover two important indicators to complement traditional text based features, namely co-occurrence APIs and …
Diversity Maximization Speedup For Localizing Faults In Single-Fault And Multi-Fault Programs, Xin Xia, Liang Gong, Tien-Duy B. Le, David Lo, Lingxiao Jiang, Hongyu Zhang
Diversity Maximization Speedup For Localizing Faults In Single-Fault And Multi-Fault Programs, Xin Xia, Liang Gong, Tien-Duy B. Le, David Lo, Lingxiao Jiang, Hongyu Zhang
Research Collection School Of Computing and Information Systems
Fault localization is useful for reducing debugging effort. Such techniques require test cases with oracles, which can determine whether a program behaves correctly for every test input. Although most fault localization techniques can localize faults relatively accurately even with a small number of test cases, choosing the right test cases and creating oracles for them are not easy. Test oracle creation is expensive because it can take much manual labeling effort (i.e., effort needed to decide whether the test cases pass or fail). Given a number of test cases to be executed, it is challenging to minimize the number of …
Iris: Tapping Wearable Sensing To Capture In-Store Retail Insights On Shoppers, Meera Radhakrishnan, Sharanya Eswaran, Archan Misra, Deepthi Chander, Koustuv Dasgupta
Iris: Tapping Wearable Sensing To Capture In-Store Retail Insights On Shoppers, Meera Radhakrishnan, Sharanya Eswaran, Archan Misra, Deepthi Chander, Koustuv Dasgupta
Research Collection School Of Computing and Information Systems
We investigate the possibility of using a combination of a smartphone and a smartwatch, carried by a shopper, to get insights into the shopper’s behavior inside a retail store. The proposed IRIS framework uses standard locomotive and gestural micro-activities as building blocks to define novel composite features that help classify different facets of a shopper’s interaction/experience with individual items, as well as attributes of the overall shopping episode or the store. Besides defining such novel features, IRIS builds a novel segmentation algorithm, which partitions the duration of an entire shopping episode into atomic item-level interactions, by using a combination of …
Magi: Enabling Multi-Device Gestural Applications, Tran Huy Vu, Choo Tsu Wei, Kenny, Youngki Lee, Richard Christopher Davis, Archan Misra
Magi: Enabling Multi-Device Gestural Applications, Tran Huy Vu, Choo Tsu Wei, Kenny, Youngki Lee, Richard Christopher Davis, Archan Misra
Research Collection School Of Computing and Information Systems
We describe our vision of a multiple mobile or wearable device environment and share our initial exploration of our vision in multi-wrist gesture recognition. We explore how multi-device input and output might look, giving four scenarios of everyday multi-device use that show the technical challenges that need to be addressed. We describe our system which allows for recognition to be distributed between multiple devices, fusing recognition streams on a resource-rich device (e.g., mobile phone). An Interactor layer recognises common gestures from the fusion engine, and provides abstract input streams (e.g., scrolling and zooming) to user interface components called Midgets. These …
Improving The Sensitivity Of Unobtrusive Inactivity Detection In Sensor-Enabled Homes For The Elderly, Alvin C. Valera, Hwee-Pink Tan, Liming Bai
Improving The Sensitivity Of Unobtrusive Inactivity Detection In Sensor-Enabled Homes For The Elderly, Alvin C. Valera, Hwee-Pink Tan, Liming Bai
Research Collection School Of Computing and Information Systems
Unobtrusive in-home monitoring systems are gaining acceptability and are being deployed to enable relatives and caregivers to remotely monitor and provide timely care to their elderly loved ones or senior clients, respectively, who are living independently. Such systems can provide information about nonmovement or inactivity of the elderly resident. As prolonged inactivity could mean potential danger, several algorithms have been proposed to automatically detect unusually long durations of inactivity. Such schemes, however, suffer from low sensitivity due to their high detection latency. In this paper, we propose Dwell Time-enhanced Dynamic Threshold (DTDT), a scheme for computing adaptive alert thresholds that …
Value-Inspired Service Design In Elderly Home-Monitoring Systems, Na Liu, Sandeep Purao, Hwee-Pink Tan
Value-Inspired Service Design In Elderly Home-Monitoring Systems, Na Liu, Sandeep Purao, Hwee-Pink Tan
Research Collection School Of Computing and Information Systems
The provision of elderly home-monitoring systems to enhance aging-in-place requires the service to meet the needs of both the elderly and their caregivers. The design of such IT services requires interdisciplinary efforts to look beyond the technical requirements. Taking a value-inspired design perspective, the study argues that service design for promoting aging-in-place needs to reconcile the values of both the elderly and caregivers. Drawn from the framework of basic human values and the unique experience of the SHINESeniors project, the study extracts the core values for elderly and caregivers using a multi-method case analysis. We suggest that both system and …
Did You Take A Break Today? Detecting Playing Foosball Using Your Smartwatch, Sougata Sen, Kiran K. Rachuri, Abhishek Mukherji, Archan Misra
Did You Take A Break Today? Detecting Playing Foosball Using Your Smartwatch, Sougata Sen, Kiran K. Rachuri, Abhishek Mukherji, Archan Misra
Research Collection School Of Computing and Information Systems
Prolonged working hours are a primary cause of stress, work related injuries (e.g, RSIs), and work-life imbalance in employees at a workplace. As reported by some studies, taking timely breaks from continuous work not only reduces stress and exhaustion but also improves productivity, employee bonding, and camaraderie. Our goal is to build a system that automatically detects breaks thereby assisting in maintaining healthy work-break balance. In this paper, we focus on detecting foosball breaks of employees at a workplace using a smartwatch. We selected foosball as it is one of the most commonly played games at many workplaces in the …
Rack: Automatic Api Recommendation Using Crowdsourced Knowledge, Mohammad M. Rahman, Chanchal K. Roy, David Lo
Rack: Automatic Api Recommendation Using Crowdsourced Knowledge, Mohammad M. Rahman, Chanchal K. Roy, David Lo
Research Collection School Of Computing and Information Systems
Traditional code search engines often do not perform well with natural language queries since they mostly apply keyword matching. These engines thus need carefully designed queries containing information about programming APIs for code search. Unfortunately, existing studies suggest that preparing an effective code search query is both challenging and time consuming for the developers. In this paper, we propose a novel API recommendation technique -- RACK that recommends a list of relevant APIs for a natural language query for code search by exploiting keyword-API associations from the crowdsourced knowledge of Stack Overflow. We first motivate our technique using an exploratory …
Human Activity Prediction By Mapping Grouplets To Recurrent Self-Organizing Map, Qianru Sun, Hong Liu, Mengyuan Liu, Tianwei Zhang
Human Activity Prediction By Mapping Grouplets To Recurrent Self-Organizing Map, Qianru Sun, Hong Liu, Mengyuan Liu, Tianwei Zhang
Research Collection School Of Computing and Information Systems
Human activity prediction is defined as inferring the high-level activity category with the observation of only a few action units. It is very meaningful for time-critical applications such as emergency surveillance. For efficient prediction, we represent the ongoing human activity by using body part movements and taking full advantage of inherent sequentiality, then find the best matching activity template by a proper aligning measurement.In streaming videos, dense spatio-temporal interest points (STIPs) are first extracted as low-level descriptors for their high detection efficiency. Then, sparse grouplets, i.e., clustered point groups, are located to represent body part movements, for which we propose …
Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights, Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Nikita Jaiman, Randy Tandriansiyah, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta
Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights, Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Nikita Jaiman, Randy Tandriansiyah, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta
Research Collection School Of Computing and Information Systems
Mobile crowd-tasking markets are growing at an unprecedented rate with increasing number of smartphone users. Such platforms differ from their online counterparts in that they demand physical mobility and can benefit from smartphone processors and sensors for verification purposes. Despite the importance of such mobile crowd-tasking markets, little is known about the labor supply dynamics and mobility patterns of the users. In this paper we design, develop and experiment with a realworld mobile crowd-tasking platform, called TA$Ker. Our contributions are two-fold: (a) We develop TA$Ker, a system that allows us to empirically study the worker responses to push vs. pull …
Ambient And Smartphone Sensor Assisted Adl Recognition In Multi-Inhabitant Smart Environments, Nirmalya Roy, Archan Misra, Diane Cook
Ambient And Smartphone Sensor Assisted Adl Recognition In Multi-Inhabitant Smart Environments, Nirmalya Roy, Archan Misra, Diane Cook
Research Collection School Of Computing and Information Systems
Activity recognition in smart environments is an evolving research problem due to the advancement and proliferation of sensing, monitoring and actuation technologies to make it possible for large scale and real deployment. While activities in smart home are interleaved, complex and volatile; the number of inhabitants in the environment is also dynamic. A key challenge in designing robust smart home activity recognition approaches is to exploit the users’ spatiotemporal behavior and location, focus on the availability of multitude of devices capable of providing different dimensions of information and fulfill the underpinning needs for scaling the system beyond a single user …
Ibed: Combining Ibea And De For Optimal Feature Selection In Software Product Line Engineering, Yinxing Xue, Jinghui Zhong, Tian Huat Tan, Yang Liu, Wentong Cai, Manman Chen, Jun Sun
Ibed: Combining Ibea And De For Optimal Feature Selection In Software Product Line Engineering, Yinxing Xue, Jinghui Zhong, Tian Huat Tan, Yang Liu, Wentong Cai, Manman Chen, Jun Sun
Research Collection School Of Computing and Information Systems
Software configuration, which aims to customize the software for different users (e.g., Linux kernel configuration), is an important and complicated task. In software product line engineering (SPLE), feature oriented domain analysis is adopted and feature model is used to guide the configuration of new product variants. In SPLE, product configuration is an optimal feature selection problem, which needs to find a set of features that have no conflicts and meanwhile achieve multiple design objectives (e.g., minimizing cost and maximizing the number of features). In previous studies, several multi-objective evolutionary algorithms (MOEAs) were used for the optimal feature selection problem and …
Formalizing And Verifying Stochastic System Architectures Using Monterey Phoenix, Songzheng Song, Jiexin Zhang, Yang Liu, Mikhail Auguston, Jun Sun, Jin Song Dong, Tieming Chen
Formalizing And Verifying Stochastic System Architectures Using Monterey Phoenix, Songzheng Song, Jiexin Zhang, Yang Liu, Mikhail Auguston, Jun Sun, Jin Song Dong, Tieming Chen
Research Collection School Of Computing and Information Systems
The analysis of software architecture plays an important role in understanding the system structures and facilitate proper implementation of user requirements. Despite its importance in the software engineering practice, the lack of formal description and verification support in this domain hinders the development of quality architectural models. To tackle this problem, in this work, we develop an approach for modeling and verifying software architectures specified using Monterey Phoenix (MP) architecture description language. MP is capable of modeling system and environment behaviors based on event traces, as well as supporting different architecture composition operations and views. First, we formalize the syntax …
Improved Egt-Based Robustness Analysis Of Negotiation Strategies In Multiagent Systems Via Model Checking, Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-Fung Leung, Jie Zhang
Improved Egt-Based Robustness Analysis Of Negotiation Strategies In Multiagent Systems Via Model Checking, Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-Fung Leung, Jie Zhang
Research Collection School Of Computing and Information Systems
Automated negotiations play an important role in various domains modeled as multiagent systems, where agents represent human users and adopt different negotiation strategies. Generally, given a multiagent system, a negotiation strategy should be robust in the sense that most agents in the system have the incentive to choose it rather than other strategies. Empirical game-theoretic (EGT) analysis is a game-theoretic analysis approach to investigate the robustness of different strategies based on a set of empirical results. In this study, we propose that model-checking techniques can be adopted to improve EGT analysis for negotiation strategies. The dynamics of strategy profiles can …
Demo: Sound Localization Using Smartphone, Amit Sharma, Youngki Lee
Demo: Sound Localization Using Smartphone, Amit Sharma, Youngki Lee
Research Collection School Of Computing and Information Systems
Smartphones based sound direction estimation can be helpful in many situations. For example, a deaf person in a meeting room can look at the smartphone to find out which direction the speaker is in and then he can look in appropriate direction to read lips/gestures of the speaker. Many smartphones today come with two built-in microphones located at physically different positions. This difference in position can cause time difference of arrival (TDOA) of sound on both microphones. Value of TDOA for two microphones may vary depending on the location of sound source with respect to the smartphone. This time difference …
Regular Symmetry Patterns, Anthony W. Lin, Truong Khanh Nguyen, Philipp Rümmer, Jun Sun
Regular Symmetry Patterns, Anthony W. Lin, Truong Khanh Nguyen, Philipp Rümmer, Jun Sun
Research Collection School Of Computing and Information Systems
Symmetry reduction is a well-known approach for alleviating the state explosion problem in model checking. Automatically identifying symmetries in concurrent systems, however, is computationally expensive. We propose a symbolic framework for capturing symmetry patterns in parameterised systems (i.e. an infinite family of finite-state systems): two regular word transducers to represent, respectively, parameterised systems and symmetry patterns. The framework subsumes various types of “symmetry relations” ranging from weaker notions (e.g. simulation preorders) to the strongest notion (i.e. isomorphisms). Our framework enjoys two algorithmic properties: (1) symmetry verification: given a transducer, we can automatically check whether it is a symmetry pattern of …
Synergizing Specification Miners Through Model Fissions And Fusions, Le Bui Tien Duy, Le Dinh Xuan Bach, David Lo, Ivan Beschastnikh
Synergizing Specification Miners Through Model Fissions And Fusions, Le Bui Tien Duy, Le Dinh Xuan Bach, David Lo, Ivan Beschastnikh
Research Collection School Of Computing and Information Systems
Software systems are often developed and released without formal specifications. For those systems that are formally specified, developers have to continuously maintain and update the specifications or have them fall out of date. To deal with the absence of formal specifications, researchers have proposed techniques to infer the missing specifications of an implementation in a variety of forms, such as finite state automaton (FSA). Despite the progress in this area, the efficacy of the proposed specification miners needs to improve if these miners are to be adopted. We propose SpecForge, a new specification mining approach that synergizes many existing specification …
Demo: Real-World Deployment Of Seat Occupancy Detectors, Nguyen Huy Hoang Nguyen, Gihan Hettiarachchi, Youngki Lee, Rajesh Krishna Balan
Demo: Real-World Deployment Of Seat Occupancy Detectors, Nguyen Huy Hoang Nguyen, Gihan Hettiarachchi, Youngki Lee, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
Detecting occupancy of seats in library is important for librarians to check seats’ usage, and for students to find available seats in crowded time. In our prior work [1], we presented in-lab micro benchmarks to show feasibility of capacitive sensing for seat occupancy detection. In this demo paper, we present larger scale real-world deployment of occupancy detection system and its performance.
Press: Personalized Event Scheduling Recommender System (Demonstration), Hoong Chuin Lau, Aldy Gunawan, Pradeep Varakantham, Wenjie Wang
Press: Personalized Event Scheduling Recommender System (Demonstration), Hoong Chuin Lau, Aldy Gunawan, Pradeep Varakantham, Wenjie Wang
Research Collection School Of Computing and Information Systems
This paper presents a personalized event scheduling recom-mender system, PRESS, for a large conference setting with multiple parallel tracks. PRESS is a mobile application that gathers personalized information from a user and recommends talks/demos to be attend. The input from a user include a list of keyword preferences and (optionally) preferred talks. We use the MALLET topic model package to analyze the set of conference papers and classify them based on automatically identified topics. We propose an algorithm to generate a list of recommended papers based on the user keywords and the MALLET topics. An optimization model is then applied …
Elderly Medication Adherence With The Internet Of Things, Xiaoping Toh, Hwee Xian Tan, Hwee-Pink Tan, Hwee-Pink Tan
Elderly Medication Adherence With The Internet Of Things, Xiaoping Toh, Hwee Xian Tan, Hwee-Pink Tan, Hwee-Pink Tan
Research Collection School Of Computing and Information Systems
With the growth in elderly population in Singapore, healthcare expenditure and prevalence of age-related illnesses are expected to increase. Non-adherence among the elderly is a common issue that leads to adverse health complications, particularly among those with chronic conditions. However, existing studies typically focus on identifying predictors of medication adherence, and provide neither user-friendly nor actionable solutions that can be easily adopted by the elderly. In this paper, we use the Internet of Things to monitor medication adherence and detect changes in medication consumption patterns among the elderly, thus enabling timely interventions by caregivers to take place. Sensor-enabled medication boxes …
Salient Pairwise Spatio-Temporal Interest Points For Real-Time Activity Recognition, Mengyuan Liu, Hong Liu, Qianru Sun, Tianwei Zhang, Runwei Ding
Salient Pairwise Spatio-Temporal Interest Points For Real-Time Activity Recognition, Mengyuan Liu, Hong Liu, Qianru Sun, Tianwei Zhang, Runwei Ding
Research Collection School Of Computing and Information Systems
Real-time Human action classification in complex scenes has applications in various domains such as visual surveillance, video retrieval and human robot interaction. While, the task is challenging due to computation efficiency, cluttered backgrounds and intro-variability among same type of actions. Spatio-temporal interest point (STIP) based methods have shown promising results to tackle human action classification in complex scenes efficiently. However, the state-of-the-art works typically utilize bag-of-visual words (BoVW) model which only focuses on the word distribution of STIPs and ignore the distinctive character of word structure. In this paper, the distribution of STIPs is organized into a salient directed graph, …
We Can Hear You With Wi-Fi!, Guanhua Wang, Yongpan Zou, Zimu Zhou, Kaishun Wu, Lionel M. Ni
We Can Hear You With Wi-Fi!, Guanhua Wang, Yongpan Zou, Zimu Zhou, Kaishun Wu, Lionel M. Ni
Research Collection School Of Computing and Information Systems
Recent literature advances Wi-Fi signals to “see” people’s motions and locations. This paper asks the following question: Can Wi-Fi “hear” our talks? We present WiHear, which enables Wi-Fi signals to “hear” our talks without deploying any devices. To achieve this, WiHear needs to detect and analyze fine-grained radio reflections from mouth movements. WiHear solves this micro-movement detection problem by introducing Mouth Motion Profile that leverages partial multipath effects and wavelet packet transformation. Since Wi-Fi signals do not require line-of-sight, WiHear can “hear” people talks within the radio range. Further, WiHear can simultaneously “hear” multiple people’s talks leveraging MIMO technology. We …
Ambiguityvis: Visualization Of Ambiguity In Graph Layouts, Yong Wang, Qiaomu Shen, Zhiguang Zhou, Min Zhu, Sixiao Yang, Qu Huamin
Ambiguityvis: Visualization Of Ambiguity In Graph Layouts, Yong Wang, Qiaomu Shen, Zhiguang Zhou, Min Zhu, Sixiao Yang, Qu Huamin
Research Collection School Of Computing and Information Systems
Node-link diagrams provide an intuitive way to explore networks and have inspired a large number of automated graph layout strategies that optimize aesthetic criteria. However, any particular drawing approach cannot fully satisfy all these criteria simultaneously, producing drawings with visual ambiguities that can impede the understanding of network structure. To bring attention to these potentially problematic areas present in the drawing. this paper presents a technique that highlights common types of visual ambiguities: ambiguous spatial relationships between nodes and edges, visual overlap between community structures, and ambiguity in edge bundling and metanodes. Metrics, including newly proposed metrics for abnormal edge …
Demo: Profiling Power Utilization Behaviours Of Smartwatch Applications, Joseph Joo Keng Chan, Lingxiao Jiang, Rajesh Krishna Balan, Youngki Lee, Archan Misra
Demo: Profiling Power Utilization Behaviours Of Smartwatch Applications, Joseph Joo Keng Chan, Lingxiao Jiang, Rajesh Krishna Balan, Youngki Lee, Archan Misra
Research Collection School Of Computing and Information Systems
Smartwatches complement the main mobile phone and are able to profile user-activity as well as provide links, updates and notifications with work or personal utilities (e.g. Email, Social Media, Messaging etc.). Although very promising, smartwatches are still limited by low battery life. This is due to the small size of the battery as well as the need to continuously perform sensing. Battery drain issues by apps as well as the system are a common complaint by users. Improved tools for power analysis and profiling of smartwatch apps can help both developers (by providing a platform for pre-release analysis) and users …
Demo: Sensing Gamers' Emotions Using Physiological Sensors, Sinh Huynh, Rajesh Krishna Balan, Youngki Lee
Demo: Sensing Gamers' Emotions Using Physiological Sensors, Sinh Huynh, Rajesh Krishna Balan, Youngki Lee
Research Collection School Of Computing and Information Systems
Understanding emotions of gamers can benefit game designers in various ways. How gamers feel while they playing a game can be treated as valuable user feedback to improve the development process of that game. Sensing player emotions also enables game designers to create adaptive game that can adjust itself to provide best gaming experience based on player emotions. However, how to effectively evaluate emotions of gamers is still an open research challenge. Two common techniques to evaluate emotional state are using self-assessments such as questionnaires or interviews, and to recognize expressed emotions by analyzing videos or images of facial expression, …
Powerforecaster: Predicting Power Impact Of Mobile Sensing Applications At Pre-Installation Time, Chulhong Min, Youngki Lee, Chungkuk Yoo, Seungwoo Kang, Inseok Hwang, Junehwa Song
Powerforecaster: Predicting Power Impact Of Mobile Sensing Applications At Pre-Installation Time, Chulhong Min, Youngki Lee, Chungkuk Yoo, Seungwoo Kang, Inseok Hwang, Junehwa Song
Research Collection School Of Computing and Information Systems
Today's smartphone application (hereinafter 'app') markets miss a key piece of information, power consumption of apps. This causes a severe problem for continuous sensing apps as they consume significant power without users' awareness. Users have no choice but to repeatedly install one app after another and experience their power use. To break such an exhaustive cycle, we propose PowerForecaster, a system that provides users with power use of sensing apps at pre-installation time. Such advanced power estimation is extremely challenging since the power cost of a sensing app largely varies with users' physical activities and phone use patterns. We observe …
Insights From Machine-Learned Diet Success Prediction, Ingmar Weber, Palakorn Achananuparp
Insights From Machine-Learned Diet Success Prediction, Ingmar Weber, Palakorn Achananuparp
Research Collection School Of Computing and Information Systems
To support people trying to lose weight and stay healthy, more and more fitness apps have sprung up including the ability to track both calories intake and expenditure. Users of such apps are part of a wider “quantified self“ movement and many opt-in to publicly share their logged data. In this paper, we use public food diaries of more than 4,000 long-term active MyFitnessPal users to study the characteristics of a (un-)successful diet. Concretely, we train a machine learning model to predict repeatedly being over or under self-set daily calories goals and then look at which features contribute to the …