Latest in cs.hc

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User interface design for military AR applicationsApr 21 2019Designing a user interface for military situation awareness presents challenges for managing information in a useful and usable manner. We present an integrated set of functions for the presentation of and interaction with information for a mobile augmented ... More
Enabling Socially Competent navigation through incorporating HRIApr 19 2019Over the last years, social robots have been deployed in public environments making evident the need of human-aware navigation capabilities. In this regard, the robotics community have made efforts to include proxemics or social conventions within the ... More
Listen to the ImageApr 19 2019Visual-to-auditory sensory substitution devices can assist the blind in sensing the visual environment by translating the visual information into a sound pattern. To improve the translation quality, the task performances of the blind are usually employed ... More
Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface datasetApr 19 2019We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.1494163 in mat and csv formats. This dataset contains electroencephalographic (EEG) recordings of 24 subjects doing a visual P300 ... More
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization SimulationApr 19 2019Complex computational models are often designed to simulate real-world physical phenomena in many scientific disciplines. However, these simulation models tend to be computationally very expensive and involve a large number of simulation input parameters ... More
Wait for me! Towards socially assistive walk companionsApr 18 2019The aim of the present study involves designing a humanoid robot guide as a walking trainer for elderly and rehabilitation patients. The system is based on the humanoid robot Pepper with a compliance approach that allows to match the motion intention ... More
Inspecting and Interacting with Meaningful Music Representations using VAEApr 18 2019Variational Autoencoders(VAEs) have already achieved great results on image generation and recently made promising progress on music generation. However, the generation process is still quite difficult to control in the sense that the learned latent representations ... More
Improving Interactive Reinforcement Agent Planning with Human DemonstrationApr 18 2019TAMER has proven to be a powerful interactive reinforcement learning method for allowing ordinary people to teach and personalize autonomous agents' behavior by providing evaluative feedback. However, a TAMER agent planning with UCT---a Monte Carlo Tree ... More
Client/Server Based Online Environment for Manual Segmentation of Medical ImagesApr 18 2019Segmentation is a key step in analyzing and processing medical images. Due to the low fault tolerance in medical imaging, manual segmentation remains the de facto standard in this domain. Besides, efforts to automate the segmentation process often rely ... More
Improving Usability, Efficiency, and Safety of UAV Path Planning through a Virtual Reality InterfaceApr 18 2019As the capability and complexity of UAVs continue to increase, the human-robot interface community has a responsibility to design better ways of specifying the complex 3D flight paths necessary for instructing them. Immersive interfaces, such as those ... More
Understanding the Effectiveness of Ultrasonic Microphone JammerApr 17 2019Recent works have explained the principle of using ultrasonic transmissions to jam nearby microphones. These signals are inaudible to nearby users, but leverage "hardware nonlinearity" to induce a jamming signal inside microphones that disrupts voice ... More
Collaboration Analysis Using Deep LearningApr 17 2019The analysis of the collaborative learning process is one of the growing fields of education research, which has many different analytic solutions. In this paper, we provided a new solution to improve automated collaborative learning analyses using deep ... More
Accessibility of Virtual Reality Locomotion Modalities to Adults and MinorsApr 16 2019Virtual reality (VR) is an important new technology that is fun-damentally changing the way people experience entertainment and education content. Due to the fact that most currently available VR products are one size fits all, the accessibility of the ... More
Beyond Technical Motives: Perceived User Behavior in Abandoning Wearable Health & Wellness TrackersApr 16 2019Health trackers are widely adopted to support individuals with daily health and wellness activity tracking. They can help increase steps taken, enhance sleeping pattern, improve healthy diet, and promote the overall health. Despite the growth in wearable ... More
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement LearningApr 16 2019Using touch devices to navigate in virtual 3D environments such as computer assisted design (CAD) models or geographical information systems (GIS) is inherently difficult for humans, as the 3D operations have to be performed by the user on a 2D touch ... More
An Evaluation Framework for Interactive Recommender SystemApr 16 2019Traditional recommender systems present a relatively static list of recommendations to a user where the feedback is typically limited to an accept/reject or a rating model. However, these simple modes of feedback may only provide limited insights as to ... More
The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. ElectionApr 15 2019The present study argues that political communication on social media is mediated by a platform's digital architecture, defined as the technical protocols that enable, constrain, and shape user behavior in a virtual space. A framework for understanding ... More
Learning to Engage with Interactive Systems: A field StudyApr 14 2019Physical agents that can autonomously generate engaging, life-like behaviour will lead to more responsive and interesting robots and other autonomous systems. Although many advances have been made for one-to-one interactions in well controlled settings, ... More
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing PlatformsApr 14 2019Paid crowdsourcing platforms suffer from low-quality work and unfair rejections, but paradoxically, most workers and requesters have high reputation scores. These inflated scores, which make high-quality work and workers difficult to find, stem from social ... More
Towards expert-based speed-precision control in early simulator training for novice surgeonsApr 14 2019Simulator training for image guided surgical interventions would benefit from intelligent systems that detect the evolution of task performance, and take control of individual speed precision strategies by providing effective automatic performance feedback. ... More
Challenges in Integrating Technology into EducationApr 13 2019Despite significant amount of investment, there seems to be obstacles to technology integration in education. In order to shed light on the nature of perceived obstacles to technology integration, opinions of 117 professionals, who were selected by Turkish ... More
Animo: Sharing Biosignals on a Smartwatch for Lightweight Social ConnectionApr 12 2019We present Animo, a smartwatch app that enables people to share and view each other's biosignals. We designed and engineered Animo to explore new ground for smartwatch-based biosignals social computing systems: identifying opportunities where these systems ... More
The Future of Pedestrian Automated Vehicle InteractionsApr 12 2019While the increasing popularity of autonomous vehicles has garnered critical media attention, less has been written about the field of pedestrian-automated vehicle interactions and its challenges. Current research trends are discussed as well as several ... More
The development and evaluation of the SmartAbility Android Application to detect users' abilitiesApr 12 2019The SmartAbility Android Application recommends Assistive Technology (AT) for people with reduced physical ability, by focusing on the actions (abilities) that can be performed independently. The Application utilises built-in sensor technologies in Android ... More
Universal Design and Adaptive Interfaces as a Strategy for Induced DisabilitiesApr 12 2019There is great promise in creating effective technology experiences during situationally-induced impairments and disabilities through the combination of universal design and adaptive interfaces. We believe this combination is a powerful approach for meeting ... More
Looking At Situationally-Induced Impairments And Disabilities (SIIDs) With People With Cognitive Brain InjuryApr 12 2019In this document, we discuss our work into a speaker recognition to support people with prosopagnosia and the limitations of alerting the user of whom they are in discussion with. We will discuss how current research into Situationally Induced Impairments ... More
Situationally Induced Impairment in Navigation Support for RunnersApr 12 2019Mobile devices are ubiquitous and support us in a myriad of situations. In this paper, we study the support that mobile devices provide for navigation. It presents our findings on the Situational Induced Impairments and Disabilities (SIID) during running. ... More
Designing Mobile Interaction Guidelines to Account for Situationally Induced Impairments and Disabilities (SIID) and Severely Constraining Situational Impairments (SCSI)Apr 12 2019This research investigates the variety and complexity of situational impairment events (SIE) that are being experienced by users of smartphone technology of all abilities. The authors have created a classification system to help describe the different ... More
Situationally-Induced Impairments and Disabilities ResearchApr 12 2019Research has shown that various environmental factors impact smartphone interaction and lead to Situationally-Induced Impairments and Disabilities. In this work we discuss the importance of thoroughly understanding the effects of these situational impairments ... More
An ethnographic study of visual impairments for voice user interface designApr 12 2019Design for Voice User Interfaces (VUIs) has become more relevant in recent years due to the enormous advances of speech technologies and their growing presence in our everyday lives. Although modern VUIs still present interaction issues, reports indicate ... More
AirPen: A Touchless Fingertip Based Gestural Interface for Smartphones and Head-Mounted DevicesApr 12 2019Hand gestures are an intuitive, socially acceptable, and a non-intrusive interaction modality in Mixed Reality (MR) and smartphone based applications. Unlike speech interfaces, they tend to perform well even in shared and public spaces. Hand gestures ... More
Method Cards for Designing for Situational ImpairmentApr 12 2019Despite significant research that was influenced by Situationally-Induced Impairments and Disabilities (SIIDs) to improve the accessibility of mobile technology, there is still lack of awareness on how to design for SIIDs. Designing for situational impairments ... More
Expressive haptics for enhanced usability of mobile interfaces in situations of impairmentsApr 12 2019Designing for situational awareness could lead to better solutions for disabled people, likewise, exploring the needs of disabled people could lead to innovations that can address situational impairments. This in turn can create non-stigmatising assistive ... More
Conveying Situational Information to People with Visual ImpairmentsApr 12 2019Knowing who is in one's vicinity is key to managing privacy in everyday environments, but is challenging for people with visual impairments. Wearable cameras and other sensors may be able to detect such information, but how should this complex visually-derived ... More
Knitting Skeletons: A Computer-Aided Design Tool for Shaping and Patterning of Knitted GarmentsApr 11 2019This work presents a novel system for simple garment composition and surface patterning which aims to allow anyone to design customized knitted garments. Our tool combines ideas from CAD software and image editing: it allows the composition of (1) new ... More
Tea: A High-level Language and Runtime System for Automating Statistical AnalysisApr 10 2019Though statistical analyses are centered on research questions and hypotheses, current statistical analysis tools are not. Users must first translate their hypotheses into specific statistical tests and then perform API calls with functions and parameters. ... More
Is Two Better than One? Effects of Multiple Agents on User PersuasionApr 10 2019Virtual humans need to be persuasive in order to promote behaviour change in human users. While several studies have focused on understanding the numerous aspects that influence the degree of persuasion, most of them are limited to dyadic interactions. ... More
A Model for Using Physiological Conditions for Proactive Tourist RecommendationsApr 10 2019Mobile proactive tourist recommender systems can support tourists by recommending the best choice depending on different contexts related to herself and the environment. In this paper, we propose to utilize wearable sensors to gather health information ... More
An Interactive Musical Prediction System with Mixture Density Recurrent Neural NetworksApr 10 2019This paper is about creating digital musical instruments where a predictive neural network model is integrated into the interactive system. Rather than predicting symbolic music (e.g., MIDI notes), we suggest that predicting future control data from the ... More
Joint Activity Recognition and Indoor LocalizationApr 10 2019Recent years have witnessed the rapid development in the research topic of WiFi sensing that automatically senses human with commercial WiFi devices. This work falls into two major categories, i.e., the activity recognition and the indoor localization. ... More
Unwind: Interactive Fish StraighteningApr 09 2019The ScanAllFish project is a large-scale effort to scan all the world's 33,100 known species of fishes. It has already generated thousands of volumetric CT scans of fish species which are available on open access platforms such as the Open Science Framework. ... More
Affordance Analysis of Virtual and Augmented Reality Mediated CommunicationApr 09 2019Virtual and augmented reality communication platforms are seen as promising modalities for next-generation remote face-to-face interactions. Our study attempts to explore non-verbal communication features in relation to their conversation context for ... More
Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive ApplicationsApr 08 2019Sketching and natural languages are effective communication media for interactive applications. We introduce Sketchforme, the first neural-network-based system that can generate sketches based on text descriptions specified by users. Sketchforme is capable ... More
Dynamics of Pedestrian Crossing Decisions Based on Vehicle Trajectories in Large-Scale Simulated and Real-World DataApr 08 2019Humans, as both pedestrians and drivers, generally skillfully navigate traffic intersections. Despite the uncertainty, danger, and the non-verbal nature of communication commonly found in these interactions, there are surprisingly few collisions considering ... More
Eye Contact Between Pedestrians and DriversApr 08 2019When asked, a majority of people believe that, as pedestrians, they make eye contact with the driver of an approaching vehicle when making their crossing decisions. This work presents evidence that this widely held belief is false. We do so by showing ... More
Implementation of a Daemon for OpenBCIApr 08 2019This document describes a technical study of the electroencephalographic (EEG) headset OpenBCI (New York, US). In comparison to research grade EEG, the OpenBCI headset is affordable thus suitable for the general public use. In this study we designed a ... More
Text-based Depression Detection: What Triggers An AlertApr 08 2019Recent advances in automatic depression detection mostly derive from modality fusion and deep learning methods. However multi-modal approaches insert significant difficulty in data collection phase while deep learning methods' opaqueness lowers its credibility. ... More
AI Meets Austen: Towards Human-Robot Discussions of Literary MetaphorApr 07 2019Artificial intelligence is revolutionizing formal education, fueled by innovations in learning assessment, content generation, and instructional delivery. Informal, lifelong learning settings have been the subject of less attention. We provide a proof-of-concept ... More
Ride N' Rhythm, Bike as an Embodied Musical Instrument to Improve Music Perception for Young ChildrenApr 07 2019Music plays a crucial role in young children's development. Current research lacks the design of an interactive system for younger children that could generate dynamic music change in response to the children's body movement. In this paper, we present ... More
A Facial Affect Analysis System for Autism Spectrum DisorderApr 07 2019In this paper, we introduce an end-to-end machine learning-based system for classifying autism spectrum disorder (ASD) using facial attributes such as expressions, action units, arousal, and valence. Our system classifies ASD using representations of ... More
Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic GamesApr 06 2019There are few digital tools to help designers create game mechanics. A general language to express game mechanics is necessary for rapid game design iteration. The first iteration of a mechanics-focused language, together with its interfacing tool, are ... More
Usability in the Larger Reality: A Contrarian Argument for the Importance of Social and Political ConsiderationsApr 06 2019Usability engineering is situated in a much larger social and institutional context than is usually acknowledged by usability professionals in the way that they define their field. The definitions and processes used in the improvement of user interfaces ... More
Utilizing Bluetooth Low Energy to recognize proximity, touch and humansApr 06 2019Interacting with humans is one of the main challenges for mobile robots in a human inhabited environment. To enable adaptive behavior, a robot needs to recognize touch gestures and/or the proximity to interacting individuals. Moreover, a robot interacting ... More
Proceedings of the CHI'19 Workshop: Addressing the Challenges of Situationally-Induced Impairments and Disabilities in Mobile InteractionApr 06 2019Situationally-induced impairments and disabilities (SIIDs) make it difficult for users of interactive computing systems to perform tasks due to context (e.g., listening to a phone call when in a noisy crowd) rather than a result of a congenital or acquired ... More
Lucid Explanations Help: Using a Human-AI Image-Guessing Game to Evaluate Machine Explanation HelpfulnessApr 05 2019Apr 09 2019While there have been many proposals on how to make AI algorithms more transparent, few have attempted to evaluate the impact of AI explanations on human performance on a task using AI. We propose a Twenty-Questions style collaborative image guessing ... More
Lucid Explanations Help: Using a Human-AI Image-Guessing Game to Evaluate Machine Explanation HelpfulnessApr 05 2019While there have been many proposals on how to make AI algorithms more transparent, few have attempted to evaluate the impact of AI explanations on human performance on a task using AI. We propose a Twenty-Questions style collaborative image guessing ... More
PerfVis: Pervasive Visualization in Immersive AugmentedReality for Performance AwarenessApr 05 2019Developers are usually unaware of the impact of code changes to the performance of software systems. Although developers can analyze the performance of a system by executing, for instance, a performance test to compare the performance of two consecutive ... More
Nutty-based Robot Animation -- Principles and PracticesApr 05 2019Apr 16 2019Robot animation is a new form of character animation that extends the traditional process by allowing the animated motion to become more interactive and adaptable during interaction with users in real-world settings. This paper reviews how this new type ... More
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPalApr 04 2019Activity tracking apps often make use of goals as one of their core motivational tools. There are two critical components to this tool: setting a goal, and subsequently achieving that goal. Despite its crucial role in how a number of prominent self-tracking ... More
Assessment of Faster R-CNN in Man-Machine collaborative searchApr 04 2019With the advent of modern expert systems driven by deep learning that supplement human experts (e.g. radiologists, dermatologists, surveillance scanners), we analyze how and when do such expert systems enhance human performance in a fine-grained small ... More
An End-to-End Conversational Style Matching AgentApr 04 2019We present an end-to-end voice-based conversational agent that is able to engage in naturalistic multi-turn dialogue and align with the interlocutor's conversational style. The system uses a series of deep neural network components for speech recognition, ... More
How should my chatbot interact? A survey on human-chatbot interaction designApr 04 2019The growing popularity of chatbots has brought new needs for HCI since it has changed the patterns of human interactions with computers. The conversational aspect of the interaction increases the necessity for chatbots to present social behaviors that ... More
Visualizing Attention in Transformer-Based Language modelsApr 04 2019We present an open-source tool for visualizing multi-head self-attention in Transformer-based language models. The tool extends earlier work by visualizing attention at three levels of granularity: the attention-head level, the model level, and the neuron ... More
Visualizing Attention in Transformer-Based Language Representation ModelsApr 04 2019Apr 11 2019We present an open-source tool for visualizing multi-head self-attention in Transformer-based language representation models. The tool extends earlier work by visualizing attention at three levels of granularity: the attention-head level, the model level, ... More
What Twitter Profile and Posted Images Reveal About Depression and AnxietyApr 04 2019Previous work has found strong links between the choice of social media images and users' emotions, demographics and personality traits. In this study, we examine which attributes of profile and posted images are associated with depression and anxiety ... More
Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial CinematographyApr 04 2019Aerial filming is becoming more and more popular thanks to the recent advances in drone technology. It invites many intriguing, unsolved problems at the intersection of aesthetical and scientific challenges. In this work, we propose an intelligent agent ... More
Orthogonal Voronoi Diagram and TreemapApr 04 2019In this paper, we propose a novel space partitioning strategy for implicit hierarchy visualization such that the new plot not only has a tidy layout similar to the treemap, but also is flexible to data changes similar to the Voronoi treemap. To achieve ... More
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution SummarizationsApr 04 2019Deep learning is increasingly used in decision-making tasks. However, understanding how neural networks produce final predictions remains a fundamental challenge. Existing work on interpreting neural network predictions for images often focuses on explaining ... More
Recognition of Advertisement Emotions with Application to Computational AdvertisingApr 03 2019Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognition (AR) approaches examine ads via the text modality, and only limited ... More
VRGym: A Virtual Testbed for Physical and Interactive AIApr 02 2019We propose VRGym, a virtual reality testbed for realistic human-robot interaction. Different from existing toolkits and virtual reality environments, the VRGym emphasizes on building and training both physical and interactive agents for robotics, machine ... More
Pharos: improving navigation instructions on smartwatches by including global landmarksApr 02 2019Landmark-based navigation systems have proven benefits relative to traditional turn-by-turn systems that use street names and distances. However, one obstacle to the implementation of landmark-based navigation systems is the complex challenge of selecting ... More
The Tower of Babel Meets Web 2.0: User-Generated Content and its Applications in a Multilingual ContextApr 02 2019This study explores language's fragmenting effect on user-generated content by examining the diversity of knowledge representations across 25 different Wikipedia language editions. This diversity is measured at two levels: the concepts that are included ... More
Out of Site: Empowering a New Approach to Online BoycottsApr 02 2019GrabYourWallet, #boycottNRA and other online boycott campaigns have attracted substantial public interest in recent months. However, a number of significant challenges are preventing online boycotts from reaching their potential. In particular, complex ... More
Lab Hackathons to Overcome Laboratory Equipment Shortages in Africa: Opportunities and ChallengesApr 02 2019Equipment shortages in Africa undermine Science, Technology, Engineering and Mathematics (STEM) Education. We have pioneered the LabHackathon (LabHack): a novel initiative that adapts the conventional hackathon and draws on insights from the Open Hardware ... More
Helping Computers Understand Geographically-Bound Activity RestrictionsApr 02 2019The lack of certain types of geographic data prevents the development of location-aware technologies in a number of important domains. One such type of "unmapped" geographic data is space usage rules (SURs), which are defined as geographically-bound activity ... More
Improving Interaction with Virtual Globes through Spatial Thinking: Helping Users Ask "Why?"Apr 02 2019Virtual globes have progressed from little-known technology to broadly popular software in a mere few years. We investigated this phenomenon through a survey and discovered that, while virtual globes are en vogue, their use is restricted to a small set ... More
Mirroring to Build Trust in Digital AssistantsApr 02 2019We describe experiments towards building a conversational digital assistant that considers the preferred conversational style of the user. In particular, these experiments are designed to measure whether users prefer and trust an assistant whose conversational ... More
Hacking Nonverbal Communication Between Pedestrians and Vehicles in Virtual RealityApr 02 2019We use an immersive virtual reality environment to explore the intricate social cues that underlie non-verbal communication involved in a pedestrian's crossing decision. We "hack" non-verbal communication between pedestrian and vehicle by engineering ... More
HYPE: Human eYe Perceptual Evaluation of Generative ModelsApr 01 2019Generative models often use human evaluations to determine and justify progress. Unfortunately, existing human evaluation methods are ad-hoc: there is currently no standardized, validated evaluation that: (1) measures perceptual fidelity, (2) is reliable, ... More
Enhancing the long-term performance of recommender systemApr 01 2019Recommender system is a critically important tool in online commercial system and provide users with personalized recommendation on items. So far, numerous recommendation algorithms have been made to further improve the recommendation performance in a ... More
Passive Head-Mounted Display Music-Listening EEG datasetApr 01 2019Apr 02 2019We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2617084 in mat (Mathworks, Natick, USA) and csv formats. This dataset contains electroencephalographic recordings of 12 subjects ... More
Positive Personas: Integrating Well-being Determinants into PersonasMar 31 2019Apr 02 2019System design for well-being needs an appropriate tool to help designers to determine relevant requirements that can help human well-being to flourish. Personas come as a simple yet powerful tool in the early development stage of the user interface design. ... More
Group-centered framework towards a positive design of digital collaboration in global settingsMar 29 2019Apr 07 2019Globally distributed groups require collaborative systems to support their work. Besides being able to support the teamwork, these systems also should promote well-being and maximize the human potential that leads to an engaging system and joyful experience. ... More
Group-centered framework towards a positive design of digital collaboration in global settingsMar 29 2019Globally distributed groups require collaborative systems to support their work. Besides being able to support the teamwork, these systems also should promote well-being and maximize the human potential that leads to an engaging system and joyful experience. ... More
A User-centered Design Study in Scientific Visualization Targeting Domain ExpertsMar 29 2019The development and design of visualization solutions that are truly usable is essential for ensuring both their adoption and effectiveness. User-centered design principles, which focus on involving users throughout the entire development process, are ... More
Information Theoretic Feature Transformation Learning for Brain InterfacesMar 28 2019Objective: A variety of pattern analysis techniques for model training in brain interfaces exploit neural feature dimensionality reduction based on feature ranking and selection heuristics. In the light of broad evidence demonstrating the potential sub-optimality ... More
Information Theoretic Feature Transformation Learning for Brain InterfacesMar 28 2019Apr 05 2019Objective: A variety of pattern analysis techniques for model training in brain interfaces exploit neural feature dimensionality reduction based on feature ranking and selection heuristics. In the light of broad evidence demonstrating the potential sub-optimality ... More
A Multimodal Emotion Sensing Platform for Building Emotion-Aware ApplicationsMar 28 2019Humans use a host of signals to infer the emotional state of others. In general, computer systems that leverage signals from multiple modalities will be more robust and accurate in the same task. We present a multimodal affect and context sensing platform. ... More
The Geography of Pokémon GO: Beneficial and Problematic Effects on Places and MovementMar 28 2019The widespread popularity of Pok\'emon GO presents the first opportunity to observe the geographic effects of location-based gaming at scale. This paper reports the results of a mixed methods study of the geography of Pok\'emon GO that includes a five-country ... More
A gradual approach for maximising user conversion without compromising experience with high visual intensity website elementsMar 28 2019The study develops and tests a method that can gradually find a sweet spot between user experience and visual intensity of website elements to maximise user conversion with minimal adverse effect. In the first phase of the study, we develop the method. ... More
Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality applicationMar 28 2019This paper analyzes the distracted pedestrians' waiting time before crossing the road in three conditions: 1) not distracted, 2) distracted with a smartphone and 3) distracted with a smartphone in the presence of virtual flashing LED lights on the crosswalk ... More
MuSE-ing on the Impact of Utterance Ordering On Crowdsourced Emotion AnnotationsMar 27 2019Emotion recognition algorithms rely on data annotated with high quality labels. However, emotion expression and perception are inherently subjective. There is generally not a single annotation that can be unambiguously declared "correct". As a result, ... More
Effect of Values and Technology Use on Exercise: Implications for Personalized Behavior Change InterventionsMar 27 2019Technology has recently been recruited in the war against the ongoing obesity crisis; however, the adoption of Health & Fitness applications for regular exercise is a struggle. In this study, we present a unique demographically representative dataset ... More
REsCUE: A framework for REal-time feedback on behavioral CUEs using multimodal anomaly detectionMar 27 2019Executive coaching has been drawing more and more attention for developing corporate managers. While conversing with managers, coach practitioners are also required to understand internal states of coachees through objective observations. In this paper, ... More
Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal ComputerMar 27 2019We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2605204 in mat (Mathworks, Natick, USA) and csv formats. This dataset contains electroencephalographic recordings on 21 subjects ... More
OpenMX Viewer: A web-based crystalline and molecular graphical user interface programMar 26 2019The OpenMX Viewer (Open source package for Material eXplorer Viewer) is a web-based graphical user interface (GUI) program for visualization and analysis of crystalline and molecular structures and 3D grid data in the Gaussian cube format such as electron ... More
GEVR: An Event Venue Recommendation System for Groups of Mobile UsersMar 25 2019In this paper, we present GEVR, the first Group Event Venue Recommendation system that incorporates mobility via individual location traces and context information into a "social-based" group decision model to provide venue recommendations for groups ... More
Referring to the recently seen: reference and perceptual memory in situated dialogMar 23 2019From theoretical linguistic and cognitive perspectives, situated dialog systems are interesting as they provide ideal test-beds for investigating the interaction between language and perception. At the same time there are a growing number of practical ... More
Emotion Recognition based on Third-Order Circular Suprasegmental Hidden Markov ModelMar 23 2019This work focuses on recognizing the unknown emotion based on the Third-Order Circular Suprasegmental Hidden Markov Model (CSPHMM3) as a classifier. Our work has been tested on Emotional Prosody Speech and Transcripts (EPST) database. The extracted features ... More
An Interaction Framework for Studying Co-Creative AIMar 22 2019Machine learning has been applied to a number of creative, design-oriented tasks. However, it remains unclear how to best empower human users with these machine learning approaches, particularly those users without technical expertise. In this paper we ... More