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8th International Conference on Cross-Cultural Design, CCD 2016 and Held as Part of 18th International Conference on Human-computer Interaction, HCI International 2016

作者： Cabrero, Daniel G. Lopes, Arminda Guerra Barricelli, Barbara Rita School of Computing and Engineering University of West London London United Kingdom Madeira Interactive Technologies Institute Madeira Portugal Department of Computer Science Università Degli Studi Di Milano Milan Italy

ISBN: (纸本)9783319400921

About forty years of thriving Human-computer Interaction (HCI) have expanded into an affluent and apparent diverse and enriching field-for-all. Subsequently this has given way to other fields such as Human-Work Interaction Design (HWID), where a main focus stands on human-centred practices at work regarding productivity and the final fulfilment of humanly aims and goals. This is in stark contrast with other ways of accepting the world, thus of work. HCI for Development (HCI4D) often shows interdependences proposed in the Global North often fail in settings like in the East or also in the Global South. This is while technology permeates at rapid and unstoppable paces everywhere. If HCI4D thus-far shows scant positive results, traditional HWID is seemingly stagnated into modes of production having little to do with promoting actual satisfaction, nor environmental sustainability, to mention a few further options. As younger, novice participants enter academic and practitioner HCI grounds, concepts, definitions and terminology resemble confusion at times, while in occasions these appear to depict archaic modes of distribution, self-empowerment and development as inevitable in today’s technologically connected world. Questioning thus existing globalised status-quos related to concepts, definitions and deployments sparks into proposing fairer, more sustainable and micro-cultural approaches to life via and by HCI. To achieve the above, the disentanglement of established meanings through the dissemination of objects, concepts and HCI definitions and terminologies is proposed by applying a theoretical and a pragmatic analysis. This is done with the aim of shedding clarity via reflection and comprehension into mindfulness of ethical and integral possibilities. This paper presents, proposes and discusses an approach to concepts and words in everyday life such as work, interaction and development, as seen from a myriad of cultural perspectives, cases and understandings. The ult

关键词： Human computer interaction

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Learning to smooth with bidirectional predictive state inference machines 32

Learning to smooth with bidirectional predictive state infer...

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32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016

作者： Sun, Wen Capobianco, Roberto Gordon, Geoffrey J. Bagnell, J. Andrew Boots, Byron School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Computer Control and Management Engineering Sapienza University of Rome Italy School of Interactive Computing Georgia Institute of Technology AtlantaGA30332 United States

ISBN: (纸本)9781510827806

We present the Smoothing Machine (SMACH, pronounced "smash"), a dynamical system learning algorithm based on chain Conditional Random Fields (CRFs) with latent states. Unlike previous methods, SMACH is designed to optimize prediction performance when we have information from both past and future observations. By leveraging Predictive State Representations (PSRs), we model beliefs about latent states through predictive states-an alternative but equivalent representation that depends directly on observable quantities. Predictive states enable the use of well-developed supervised learning approaches in place of local-optimumprone methods like EM: we learn regressors or classifiers that can approximate message passing and marginalization in the space of predictive states. We provide theoretical guarantees on smoothing performance and we empirically verify the efficacy of SMACH on several dynamical system benchmarks.

关键词： Dynamical systems

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A near Pareto optimal approach to student-supervisor allocation with two sided preferences and workload balance

arXiv

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arXiv 2018年

作者： Sanchez-Anguix, Victor Chalumuri, Rithin Aydogan, Reyhan Julian, Vicente Florida Universitaria Carrer del Rei en Jaume I2 Catarroja Valencia46470 Spain Universidad Isabel I Calle de Fernán González 76 Burgos09003 Spain Coventry University School of Computing Electronics and Mathematics Gulson Rd CoventryCV1 2JH United Kingdom Özyegin University Department of Computer Science Istanbul Turkey Delft University of Technology Interactive Intelligence Group Delft Netherlands Universitat Politècnica de València Departamento de Sistemas Informáticos y Computación Camí de Vera s/n Valencia46022 Spain

The problem of allocating students to supervisors for the development of a personal project or a dissertation is a crucial activity in the higher education environment, as it enables students to get feedback on their work from an expert and improve their personal, academic, and professional abilities. In this article, we propose a multi-objective and near Pareto optimal genetic algorithm for the allocation of students to supervisors. The allocation takes into consideration the students and supervisors’ preferences on research/project topics, the lower and upper supervision quotas of supervisors, as well as the workload balance amongst supervisors. We introduce novel mutation and crossover operators for the student-supervisor allocation problem. The experiments carried out show that the components of the genetic algorithm are more apt for the problem than classic components, and that the genetic algorithm is capable of producing allocations that are near Pareto optimal in a reasonable time. Copyright © 2018, The Authors. All rights reserved.

关键词： Genetic algorithms

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The AIIDE 2015 workshop program

The AIIDE 2015 workshop program

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作者： Barot, Camille Buro, Michael Cook, Michael Eladhari, Mirjam Johansson, Magnus Li, Boyang Liapis, Antonios McCoy, Josh Ontañón, Santiago Rowe, Jonathan Tomai, Emmett Verhagen, Harko Zook, Alexander Department of Computer Science North Carolina State University United States Computing Science Department University of Alberta Edmonton Canada University of London United Kingdom Department of Computer and Systems Sciences Stockholm University Sweden Institute of Digital Games University of Malta Malta Disney Research Pittsburgh United States School of Interactive Computing Georgia Institute of Technology United States Game Design Institute Uppsala University Sweden Department of Computer Science American University United States Department of Computer Science Drexel University Philadelphia United States Department of Computer Science University of Texas Rio Grande Valley United States

The workshop program at the 11th Annual AAAI Conference on Artificial Intelligence and interactive Digital Entertainment was held November 14-15, 2015, at the University of California, Santa Cruz, USA. The program included four workshops (one of which was a joint workshop): Artificial Intelligence in Adversarial Real-Time Games, Experimental AI in Games, Intelligent Narrative Technologies and Social Believability in Games, and Player Modeling. This article contains the reports of three of the four workshops. Copyright © 2016, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Artificial intelligence

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Learning to Match Aerial Images with Deep Attentive Architectures

Learning to Match Aerial Images with Deep Attentive Architec...

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IEEE Conference on computer Vision and Pattern Recognition

作者： Hani Altwaijry Eduard Trulls James Hays Pascal Fua Serge Belongie Department of Computer Science Cornell University Computer Vision Laboratory Ecole Polytechnique Federale de Lausanne (EPFL) School of Interactive Computing College of Computing Georgia Institute of Technology

ISBN: (纸本)9781467388528

Image matching is a fundamental problem in computer Vision. In the context of feature-based matching, SIFT and its variants have long excelled in a wide array of applications. However, for ultra-wide baselines, as in the case of aerial images captured under large camera rotations, the appearance variation goes beyond the reach of SIFT and RANSAC. In this paper we propose a data-driven, deep learning-based approach that sidesteps local correspondence by framing the problem as a classification task. Furthermore, we demonstrate that local correspondences can still be useful. To do so we incorporate an attention mechanism to produce a set of probable matches, which allows us to further increase performance. We train our models on a dataset of urban aerial imagery consisting of 'same' and 'different' pairs, collected for this purpose, and characterize the problem via a human study with annotations from Amazon Mechanical Turk. We demonstrate that our models outperform the state-of-the-art on ultra-wide baseline matching and approach human accuracy.

关键词： Neural networks computer vision computer architecture Training Feature extraction Cameras Distortion

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Canine-centered computing

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Foundations and Trends in Human-computer Interaction 2016年第2期10卷 87-164页

作者： Freil, Larry Byrne, Ceara Valentin, Giancarlo Zeagler, Clint Roberts, David Starner, Thad Jackson, Melody School of Interactive Computing Georgia Institute of Technology Atlanta United States Department of Computer Science North Carolina State University Raleigh United States

Canines and humans have lived together for many thousands of years, to our mutual benefit. In addition to providing companionship, dogs can perform critical roles, such as assisting humans with medical concerns, searching for lost individuals, and detecting substances by scent. Researching how technology might be designed for canines has the potential to significantly improve the lives of both dogs and *** draw upon the extensive foundations and literature in human-centered computing to identify and adapt models and methods that are relevant for canines. Our work surveys the landscape of canine-centered computing and canine psychophysics, and generates a framework and set of guidelines to help inform the requirements, design, and evaluation of systems for canines. Our principal aim is to invite and challenge human computer interaction (HCI) researchers to contribute to the field of canine-centered computing, and we conclude with a call to action in this promising nascent field. © 2017 L. Freil et al.

关键词： Human computer interaction

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Overview of the CL-SciSumm 2016 Shared Task

Overview of the CL-SciSumm 2016 Shared Task

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Joint Workshop on Bibliometric-Enhanced Information Retrieval and Natural Language Processing for Digital Libraries, BIRNDL 2016

作者： Jaidka, Kokil Chandrasekaran, Muthu Kumar Rustagi, Sajal Kan, Min-Yen Big Data Experience Lab Adobe Research India India School of Computing National University of Singapore Singapore Singapore Dept. of Computer Science and Engineering Indian Institute of Technology Roorkee India Interactive and Digital Media Institute National University of Singapore Singapore Singapore

The CL-SciSumm 2016 Shared Task is the first medium-scale shared task on scientific document summarization in the computational linguistics (CL) domain. The task built off of the experience and training data set created in its namesake pilot task, which was conducted in 2014 by the same organizing committee. The track included three tasks involving: (1A) identifying relationships between citing documents and the referred document, (1B) classifying the discourse facets, and (2) generating the abstractive summary. The dataset comprised 30 annotated sets of citing and reference papers from the open access research papers in the CL domain. This overview paper describes the participation and the official results of the second CL-SciSumm Shared Task, organized as a part of the Joint Workshop onBibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016), held in New Jersey,USA in June, 2016. The annotated dataset used for this shared task and the scripts used for evaluation can be accessed and used by the community at: https://***/WING-NUS/scisumm-corpus.

关键词： Digital libraries

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SharpView: Improved clarity of defocussed content on optical see-through head-mounted displays

SharpView: Improved clarity of defocussed content on optical...

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IEEE Annual International Symposium Virtual Reality

作者： Kohei Oshima Kenneth R Moser Damien Constantine Rompapas J Edward Swan Sei Ikeda Goshiro Yamamoto Takafumi Taketomi Christian Sandor Hirokazu Kato Interactive Media Design Laboratory Nara Institute of Science and Technology Computer Science & Engineering Mississippi State University Mobile Computing Laboratory Ritsumeikan University

ISBN: (纸本)9781509008377

A common factor among current generation optical see-through augmented reality systems is fixed focal distance to virtual content. In this work, we investigate the issue of focus blur, in particular, the blurring caused by simultaneously viewing virtual content and physical objects in the environment at differing focal distances. We examine the application of dynamic sharpening filters as a straight forward, system independent, means for mitigating this effect improving the clarity of defocused AR content. We assess the utility of this method, termed SharpView, by employing an adjustment experiment in which users actively apply varying amounts of sharpening to reduce the perception of blur in AR content. Our experimental results validate the ability of our SharpView model to improve the visual clarity of focus blurred content, with optimal performance at focal differences well suited for near field AR applications.

关键词： Optical imaging Adaptive optics Lenses Augmented reality Optical distortion Retina Deconvolution

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computing beyond gender-imposed limits 16

Computing beyond gender-imposed limits

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2nd Workshop on computing within Limits, LIMITS 2016

作者： Ahmed, Syed Ishtiaque Ahmed, Nova Kumar, Neha Hussain, Faheem Information Science Cornell University IthacaNY14850 United States Electrical and Computer Engineering North South University Dhaka1229 Bangladesh Technology and Society SUNY Korea Incheon Korea Republic of International Affairs and Interactive Computing Georgia Tech AtlantaGA30332 United States

ISBN: (纸本)9781450342605

Gender inequality has long been on the list of factors that impose limits on the potential of computing, in ways that have been more and less obvious. Drawing on ethnographic findings from marginalized communities in Bangladesh, we analyze the impact of gender inequality on the stages of user research, design, deployment, and use of computing technologies. We conclude with a discussion of how a combination of design, policy, and/or theoretical approaches might supply us with tools to combat the challenges faced in these stages in order to bring about greater equity and participation in the world of computing. © 2016 Copyright held by the owner/author(s).

关键词： computer programming

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Proxemic mobile collocated interactions

Proxemic mobile collocated interactions

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34th Annual CHI Conference on Human Factors in computing Systems, CHI EA 2016

作者： Porcheron, Martin Lucero, Andrés Quigley, Aaron Marquardt, Nicolai Clawson, James O'Hara, Kenton Mixed Reality Laboratory School of Computer Science University of Nottingham United Kingdom Mads Clausen Institute University of Southern Denmark Kolding Denmark SACHI School of Computer Science University of St. Andrews United Kingdom UCL Interaction Centre University College London London United Kingdom School of Interactive Computing Georgia Institute of Technology AtlantaGA United States Microsoft Research Cambridge United Kingdom

ISBN: (纸本)9781450340823

Recent research on mobile collocated interactions has been looking at situations in which collocated users engage in collaborative activities using their mobile devices. However, existing practices fail to fully account for the culturally-dependent spatial relationships between people and their digital devices (i.e. the proxemic relationships). Building on the ideas of proxemic interactions, this workshop is motivated by the concept of 'proxemic mobile collocated interactions', to harness new or existing technologies to create engaging and interactionally relevant experiences. Such approaches would allow devices to not only react to presence and interaction, but also other indicators, such as the interpersonal distance people naturally use in everyday life. The aim of this one-day workshop is to bring together a community of researchers, designers and practitioners who are interested in exploring proxemics and mobile collocated interactions. © 2016 Authors.

关键词： Digital devices

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