Manolya Kavakli

Macquarie University · Department of Computing

Drivers face many challenges when driving under unfamiliar traffic regulations, which may lead to a reduction in road safety. The need to adjust to different traffic rules could be a major factor toward a safer drive. Gamification is a promising way to enhance the user engagement in non-game tasks. In this paper, we hypothesize that gamification ca...

With the advancement in technology, the multi-modal interface system (MMIS) is now becoming a vital part of almost every intelligent system. The multi-modal interface system uses humanlike input to convey information to a computing device instead of typical mouse/keyboard inputs. However, the acceptance of an MMIS by individuals depends upon variou...

Driving in an unfamiliar traffic regulation using an unfamiliar vehicle configuration contributes to increase number of traffic accidents. In these circumstances, a driver needs to have what is referred to as 'situation awareness' (SA). SA is divided into (level 1) perception of environmental cues, (level 2) comprehension of the perceived cues in r...

In the field of cybersecurity, human behaviour is considered as the weakest link. We applied gamification techniques to the development of an Augmented Reality game, CybAR, which was designed to educate users about cybersecurity in an effective and entertaining way. This research incorporates decision-making style into Technology Threat Avoidance T...

Human behavior is considered to be the weakest link in the field of cybersecurity. Despite the development of a wide range of Augmented Reality (AR) applications in various domains, no AR application is available to educate users and increase their awareness of cybersecurity issues. Thus, we developed a game based on AR techniques as an Android app...

Naturally, humans use multiple modalities to convey information. The modalities are processed both sequentially and in parallel for communication in the human brain, this changes when humans interact with computers. Empowering computers with the capability to process input multimodally is a major domain of investigation in Human-Computer Interactio...

Competency classification is one of the main challenging tasks for the development of state-of-the-art next generation computer-aided design (CAD) system. To develop a futuristic system that can accommodate the lack of competency, the system needs to adapt to the competency level of the user. To solve this problem, we have presented a deep convolut...

The number of damaging cyberattacks is increasing exponentially due in part to lack of user awareness of risky online practices, such as visiting unsafe websites, ignoring warning messages, and communicating with unauthenticated entities. Although research has established the role that game-based learning can play in cognitive development and conce...

Generative adversarial networks (GANs) present a way to learn deep representations without extensively annotated training data. These networks achieve learning through deriving back propagation signals through a competitive process involving a pair of networks. The representations that can be learned by GANs may be used in several applications. GAN...

To generate a multi-faceted view, from a single image has always been a challenging problem for decades. Recent developments in technology enable us to tackle this problem effectively. Previously, Several Generative Adversarial Network (GAN) based models have been used to deal with this problem as linear GAN, linear framework, a generator (generall...

To generate a multi-faceted view, from a single image has always been a challenging problem for decades. Recent developments in technology enable us to tackle this problem effectively. Previously, Several Generative Adversarial Network (GAN) based models have been used to deal with this problem as linear GAN, linear framework, a generator (generall...

This paper presents a design of agent-based intelligent HCI (iHCI) system using collaborative information for MR to improve user experience and information security based on context-aware computing. In order to implement target awareness system, we propose the use of non-parameter stochastic adaptive learning and a kernel learning strategy for impr...

The large pose discrepancy is one of the critical challenges in face recognition during video surveillance. Due to the entanglement of pose attributes with identity information, the conventional approaches for pose-independent representation lack in providing quality results in recognizing largely posed faces. In this paper, we propose a practical...

Driving in an unfamiliar traffic regulation is associated with difficulties in adjusting with the new conditions and rules. Providing feedback in a proper way can help drivers overcome such difficulties. This paper aims to explore the most preferred feedback modality, feedback presenting time, and frequency of presenting feedback when turning left...

A Wireless Sensor Media Network (WSMN) provides an economical and feasible solution to microscopic visual monitoring in real time. Compared to macrographic monitoring (e.g. aerial photography), it can also provide a flexible solution by means of the facility of setup and integration of microscopic data. Security is one of the significant issues for...

To develop next generation multi-modal computer-aided design systems, it is important to evaluate the relationships between the user dependent factors and the combined performance of man and machine. The purpose of this research is to investigate if users' cognitive activity would increase with the use of multi-modal input, speech and gestures by a...

Generative adversarial networks (GANs) have gained significant attention in recent years. A number of GAN variants have been proposed and have been utilized in many applications. Despite a large number of applications and developments in GANs, few works have studied the metrics that evaluate GANs' performance. In this paper, we present a comprehens...

Psycho-physiological analysis has gained greater attention in the last few decades in various fields including multimodal systems. Researchers use psychophysiological feedback devices such as skin conductance (SC), Electroencephalography (EEG) and Electrocardiography (ECG) to detect the affective states of the users during task performance. Psycho-...

Person re-identification is a basic subject in the field of computer vision. The traditional methods have several limitations in solving the problems of person illumination like occlusion, pose variation and feature variation under complex background. Fortunately, deep learning paradigm opens new ways of the person re-identification research and be...

Expertise prediction is a challenging tasks for the development of state-of-the-art next generation computer-aided design (CAD) system. To develop an adaptive system that can accommodate the lack of expertise, the system needs to classify the expertise level. In this paper, we have presented a method to estimate the cognitive activity of the novice...

Modelling 3D objects in CAD software requires special skills which require a novice user to undergo a series of training exercises to obtain. To minimize the training time for a novice user, the user-dependent factors must be studied. we have presented a comparative analysis of novice/expert information flow patterns. We have used Normalized Transf...

Person re-identification is a challenging job that can match pedestrian images with the same identity across multiple cameras. Person re-identification is substantially influenced by the full person image, pose and the camera view. The pose difference of person image is one of the difficulties in today security surveillance. Regardless of the best...

In recent days, the application of generative adversarial networks (GAN) shows a drastic growth in the various areas of research. The application of GAN in several areas delivers a noteworthy improvement on the performance analysis. The traditional methods have several limitations in solving the problems of pose variation. Fortunately, deep learnin...

As technology penetrates into our lives, the vital need for institutions to provide rapid access to information has grown. Recently, Augmented Reality (AR) has emerged as a technology for educational institutions to enhance users' experience by overlaying computational information into their reality. iMAP_CampUS is a mobile AR application showing c...

As technology penetrates into our lives, the vital need for institutions to provide rapid access to information has grown. Recently, Augmented Reality (AR) has emerged as a technology for educational institutions to enhance users' experience by overlaying computational information into their reality. iMAP_CampUS is a mobile AR application showing c...

In recent years, the emergence of diverse applications created a plethora of data and immense sources that can be applied in varying areas of the industry worldwide escalating its capabilities including biomedicine. Subsequently, analytical tools loomed to leverage the availability of massive data to analyze and elicit meaningful information to imp...

Littering behaviour is a global issue affecting most countries regardless of their development status. Mobile augmented reality (MAR) shows a promising contribution in different fields. However, despite the wider applications of MAR in different area such as cultural heritage [1, 2] and shopping [3], acceptance studies of mobile augmented reality a...

Human-computer interaction has become increasingly easy and popular using widespread smart devices. Gestures and sketches as the trajectory of hands in 3D space are among the popular interaction media. Therefore, their recognition is essential. However, diversity of human gestures along with the lack of visual cues make the sketch recognition proce...

In this paper, we present an agent- aware computing based collaborative information sys- tem scheme for MR applications. The HCI issues in VR, AR, and MR, have been discussed firstly. Besides the equipment, the lack of understanding of users also ac- counts for a significant bottleneck of improving user ex- perience and immersion during the interac...

Objectives: To determine the validity and reliability of the peak frontal plane knee angle evaluated by a virtual reality (VR) netball game when landing from a drop vertical jump (DVJ). Study design: Laboratory Methods: Forty participants performed 3 DVJs evaluated by 3-dimensional (3D) motion analysis and 3 DVJs evaluated by the VR game. Limits...

A mid-air gesture-based interface could provide a less cumbersome in-vehicle interface for a safer driving experience. Despite the recent developments in gesture-driven technologies facilitating the multi-touch and mid-air gestures, interface safety requirements as well as an evaluation of gesture characteristics and functions, need to be explored....

Driving under unfamiliar conditions, such as unfamiliar traffic system and unfamiliar vehicle configuration during overseas holidays, might cause fatality, injury or property damage. In these cases, a driver needs to apply their prior knowledge to a new driving situation in order to drive safely. This ability is called cognitive flexibility. Prior...

Driving a car is a high cognitive-load task requiring full attention behind the wheel. Intelligent navigation, transportation, and in-vehicle interfaces have introduced a safer and less demanding driving experience. However, there is still a gap for the existing interaction systems to satisfy the requirements of actual user experience. Hand gesture...

Multi-Modal Interface Systems (MMIS) have proliferated in the last few decades, since they provide a direct interface for both Human Computer Interaction (HCI) and face-to-face communication. Our aim is to provide users without any prior 3D modelling experience, with a multi-modal interface to create a 3D object. The system also incorporates help t...

Augmented Reality (AR) offers a combination of physical and virtual objects, drawing on the strengths of each. Therefore, it is different from virtual reality since it permits users to sight the real world enhanced with virtual objects. Thus, AR technology holds potential to support users with valuable information about the surrounding area. In thi...

Technology has become a part of our daily life, growing the vital need for institutions to provide rapid access to information available all the time. Recently, Augmented Reality (AR) has emerged as a technology for educational institutions to enhance students' and visitors' experience through its capability to overlay information into the real wor...

The environment of our planet suffers from the irresponsible use of the world's natural resources. Regardless the development state of all countries, they still encounter littering behaviour and environmental pollution to some extent. The lack of research regarding the use of augmented reality (AR) to promote behavioural change in Australia drove t...

Chroma-keying has been widely applied in multimedia. However, its constraints, including stadium setup, mono-chroma detection and specific techniques for video capture, limit the utilization in consumer electronic applications. This paper presents an economical scheme to perform the keying effect based on motion tracking with low requirements on th...

This chapter focuses on how to develop tools for positive technology and more specifically, mobile e-mental health systems using a virtual stress counselor. The main objective is to develop a framework for mobile e-mental health systems reviewing existing e-mental health apps and discussing necessary system requirements. The chapter states that cur...

Hand gestures are a suitable interface medium for in-vehicle interfaces. They are intuitive and natural to perform, and less visually demanding while driving. This paper aims at analysing human gestures to define a preliminary gesture vocabulary for in-vehicle climate control using a driving simulator. We conducted a user- elicitation experiment on...

This paper mainly focuses on dealing with the issue of scalable learning in dispersed knowledge system. A scalable learning scheme and ξ process are proposed with a theoretical analysis. With the proposed scheme, the dispersed knowledge system can be used as a centralized system without knowing the overview of the global database. A case study of a...

In this paper, we present a mixed reality environment (MIXER) for immersive interactions. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics and real objects. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics...

This paper mainly focuses on the principle component analysis (PCA) and its applications on vision based computing. The underlying mechanism of PCA given and several significant factors, involved with subspace training are discussed theoretically in detail including principle components energy, residuals assessment, and decomposition computation. T...

The goal of this paper is to address how to use human experience to develop an enhanced matting strategy. Based on a recursive α optimization framework, we present an adaptive fuzzy learning strategy for enhancement of matting. Taking into account the uncertainty of data, the proposed scheme successfully applies the expert human knowledge into matt...

This paper focuses on how to provide mobility to people with motor impairments with the integration of robotics and wearable computing systems. The burden of learning to control powered mobility devices should not fall entirely on the people with disabilities. Instead, the system should be able to learn the user’s movements. This requires learning...

Abstract— Mobile applications provide a wide range of e-mental health services to the users. A majority of the current mobile applications is not based on appropriate diagnostics. Most current applications offer similar basic solutions and treatment to their users without conducting a comprehensive analysis on users’ special conditions. In this pap...

This chapter focuses on how to develop tools for positive technology and more specifically, mobile e-mental health systems using a virtual stress counselor. The main objective is to develop a framework for mobile e-mental health systems reviewing existing e-mental health apps and discussing necessary system requirements. The chapter states that cur...

Spotting signal patterns with varying lengths has been still an open problem in the literature. In this study, we describe a signal pattern recognition approach for continuous and simultaneous classification of a tracked hand's posture and gestures and map them to steering commands for control of a robotic wheelchair. The developed methodology not...

This paper introduces a generic people-centric mobile augmented reality systems (MARS) framework to leverage the application system design and implementation. Proposed 4Any framework could be used as a meta architecture to guide the development of MARS. The main challenge in MARS design is providing a generic framework flexible enough to allow rapi...

Social networks play a significant role in changing consumer behaviour. However, only a few energy monitoring system manufacturers have taken advantage of this opportunity. This paper provides a review of recent empirical literature on energy and water consumption. While Eastern Asian countries, China in particular, are leaders in deploying smart m...

Mobile applications provide variety of services to their users and a group of them offer medical related services. Our initial research has revealed that a majority of the current mobile applications is not based on appropriate diagnostics. Most current applications offer similar basic solutions and treatment to their users without conducting a com...

Many Advisor Systems have been designed and developed to assist us in decision-making, each with their strengths and weaknesses. A popular type of Advisor systems is Travel Advisor systems that assist travelers in their travel arrangements. We have designed and implemented a Travel Advisor system to assist travelers, evaluating a number of factors...

Virtual reality and video games are becoming a part of everyday life. Computer games are provided with game-level editors (GLE), which allow the user to create customized virtual environments (VE). In a therapeutic framework, GLE's VEs combined with virtual reality have been used in many fields including psychotherapy. The present article comprises...

Many Advisor Systems have been designed and developed to assist us in decision-making, each with their strengths and weaknesses. A popular type of Advisor systems is Travel Advisor systems that assist travelers in their travel arrangements. We have designed and implemented a Travel Advisor system to assist travelers, evaluating a number of factors...

Body-machine interface provides stroke and spinal cord injured patients a mean to participate in their activities of daily livings (ADLs). In this paper, electrophysiological signals from the human upper limb are used as a control interface between the user and a virtual robotic wheelchair. There is a general perception that these body signals cont...

memory and performance literature. We outline the setup of the study to discover the traits of a talented student using cognitive load measurements and task and performance-based tests. In discussion and conclusion, we provide techniques to identify talented students in three-dimensional computer graphics programming (3DCGP). We propose further res...

In this chapter, the authors explore the operational data related to transactions in a financial organisation to find out the suitable techniques to assess the origin and purpose of these transactions and to detect if they are relevant to money laundering. The authors' purpose is to provide an AML/CTF compliance report that provides AUSTRAC with in...

Presence, the impression of being existent in artificially created places, is an important factor for achieving maximum experience in virtual environments (VEs) and hence in their use for experiments or therapy. To date, most clinical studies have used self-report questionnaires or physiological measures to appraise the degree of presence. Some stu...

Objectives: Past controlled clinical trials centred on virtual reality exposure therapy (VRET) for agoraphobia mostly used multicomponent therapy with success. However, the present paper aimed to evaluate the independent effect of VRET for agoraphobia. Methods: A controlled study involving 18 agoraphobic participants assigned to two groups: VRET...

Aborigines are the original inhabitants of Australia. Colonisation and subsequent alienation through perpetual neglect and torture eventuated in the excessive consumption of alcohol and illegal substances in their society. To tackle this serious problem, we propose an interactive virtual sociologist, Mr. W, as an embodied conversational agent that...

Compressed Sensing (CS) and Sparse Representation (SR) influenced the ways of signals are processed half a decade. The elegant solution to sparse signal recovery problem has found ground in several research fields such as machine learning and pattern recognition. The use of sparse representation and the solution of equations using ℓ1 minimization w...

Exam stress is a common predicament faced by students of all age groups and cultures. Unfortunately, it has neither created much consternation in the society nor attracted much interest for serious research, perhaps due to its impulsive causal nature that disappears almost instantly after the exams are over. Stress in optimal level can stimulate st...

Exam stress is a common predicament faced by students of all age groups and cultures. If improperly managed, it can lead to insomnia, depression, suicide and many other negative health implications for students at all levels of education. However, exam stress management gained relatively low attention from the society and academia. Stress in optima...

Designing in Virtual Reality systems may bring significant advantages for the preliminary exploration of the design concept in 3D. In this chapter, our purpose is to provide a design platform in VR, integrating data gloves and the sensor jacket that consists of piezo-resistive sensor threads in a sensor network. Unlike the common gesture recognitio...