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  1. No Access

    Chapter and Conference Paper

    Voice-Assisted Food Recall Using Voice Assistants

    In this paper, we design a voice-assisted food recall tool that can be implemented on voice assistants of smart speakers and smartphones, enabling frequent, quick, and real-time self-administered food recall. ...

    **aohui Liang, John A. Batsis, **g Yuan in HCI International 2022 – Late Breaking Pap… (2022)

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    Chapter and Conference Paper

    Usability Assessment of the **aoAi Touch Screen Speaker

    With the development of modern economy and technology, people's living standards are constantly improving, and more intelligent products have come into people's vision. People's requirements for product availa...

    Naixin Liu, Shuyue Li, Wang **ang, Yue Xu in Design, User Experience, and Usability: D… (2021)

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    Chapter and Conference Paper

    ROBO-GUIDE: Towards Safe, Reliable, Trustworthy, and Natural Behaviours in Robotic Assistants

    In this paper we describe a novel scenario, whereby an assistive robot is required to use a lift, and results from a preliminary investigation into floor determination using readily-available information. The ...

    James Law, Jonathan M. Aitken, Luke Boorman in Towards Autonomous Robotic Systems (2015)

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    Chapter and Conference Paper

    A Study of Automatic Speech Recognition in Noisy Classroom Environments for Automated Dialog Analysis

    The development of large-scale automatic classroom dialog analysis systems requires accurate speech-to-text translation. A variety of automatic speech recognition (ASR) engines were evaluated for this purpose....

    Nathaniel Blanchard, Michael Brady, Andrew M. Olney in Artificial Intelligence in Education (2015)

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    Chapter and Conference Paper

    General Overview of ImageCLEF at the CLEF 2015 Labs

    This paper presents an overview of the ImageCLEF 2015 evaluation campaign, an event that was organized as part of the CLEF labs 2015. ImageCLEF is an ongoing initiative that promotes the evaluation of technolo...

    Mauricio Villegas, Henning Müller in Experimental IR Meets Multilinguality, Mul… (2015)

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    Chapter and Conference Paper

    Opponent Modeling for Virtual Human Negotiators

    Negotiation is a challenging domain for virtual human research. One aspect of this problem, known as opponent modeling, is discovering what the other party wants from the negotiation. Research in automated negoti...

    Zahra Nazari, Gale M. Lucas, Jonathan Gratch in Intelligent Virtual Agents (2015)

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    Chapter and Conference Paper

    Agent-Oriented Programming Languages as a High-Level Abstraction Facilitating the Development of Intelligent Behaviours for Component-Based Applications

    Develo** behaviours for complex component based systems is a difficult task. This paper evaluates the use of agent-oriented programming languages as a high level abstraction for performing this task. Evaluat...

    Seán Russell, G. M. P. O’Hare in PRIMA 2015: Principles and Practice of Mul… (2015)

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    Chapter and Conference Paper

    Checking WELTLK Properties of Weighted Interpreted Systems via SMT-Based Bounded Model Checking

    We present a SMT-based bounded model checking (BMC) method for weighted interpreted systems (i.e. interpreted systems in which every agent includes a weight function that associates with each local action a we...

    Agnieszka M. Zbrzezny, Andrzej Zbrzezny in PRIMA 2015: Principles and Practice of Mul… (2015)

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    Chapter and Conference Paper

    Supporting Human-Robot Teams in Space Missions Using ePartners and Formal Abstraction Hierarchies

    Human space flight is a prototypical example of a complex, dynamic, and safety-critical domain in which missions are performed by collaborative teams of humans and technical systems. In such domains, intellige...

    Tibor Bosse, Jurriaan van Diggelen in PRIMA 2015: Principles and Practice of Mul… (2015)

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    Chapter and Conference Paper

    Supervised Learning for the Neurosurgery Intensive Care Unit Using Single-Layer Perceptron Classifiers

    In the continuing goal to merge the fields of computational neuroscience with medical based neurodiagnostic clinical research this paper presents advancements on machine learning Big Electroencephalogram (EEG)...

    Chad A. Mello, Rory Lewis, Amy Brooks-Kayal in Brain Informatics and Health (2014)

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    Chapter and Conference Paper

    Are Some Brain Injury Patients Improving More Than Others?

    Predicting the evolution of individuals is a rather new mining task with applications in medicine. Medical researchers are interested in the progress of a disease and in the evolution of individuals subjected ...

    Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou in Brain Informatics and Health (2014)

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    Chapter and Conference Paper

    A Reliability Analysis Technique for Estimating Sequentially Coordinated Multirobot Mission Performance

    This paper presents a quantifiable method by which the behaviors of robots, as determined by their performance in a cyber-physical context, can be captured and generalized so that accurate predictions of seque...

    John F. Porter, Kawa Cheung in PRIMA 2013: Principles and Practice of Mul… (2013)

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    Chapter and Conference Paper

    Interactive Event: Enabling Vocabulary Acquisition while Providing Mobile Communication Support

    We have developed an adaptive communication support tool that also supports vocabulary acquisition. This tool is called VocabNomad; it is one of the few mobile assisted language learning tools that aims to sup...

    Carrie Demmans Epp, Stephen Tsourounis in Artificial Intelligence in Education (2013)

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    Chapter and Conference Paper

    Process Mining in Healthcare: Data Challenges When Answering Frequently Posed Questions

    In hospitals, huge amounts of data are recorded concerning the diagnosis and treatments of patients. Process mining can exploit such data and provide an accurate view on healthcare processes and show how they ...

    Ronny S. Mans, Wil M. P. van der Aalst in Process Support and Knowledge Representati… (2013)

  15. Chapter and Conference Paper

    Analyzing Deceptive Speech

    This current work explored the speech-based attributes of participants who were being deceptive in an experimental interrogation setting. In particular, the study attempted to investigate the appropriateness o...

    Christin Kirchhübel, Alex W. Stedmon in Engineering Psychology and Cognitive Ergon… (2013)

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    Chapter and Conference Paper

    Learner Differences and Hint Content

    Because feedback affects learning, it is central to many educational technologies. We analyze properties of hint feedback in an intelligent tutoring system for high school geometry. First, we examine whether f...

    Ilya M. Goldin, Ryan Carlson in Artificial Intelligence in Education (2013)

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    Chapter and Conference Paper

    Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutoring System

    Csikszentmihalyi’s Flow theory states that a balance between challenge and skill leads to high engagement, overwhelming challenge leads to anxiety or frustration, and insufficient challenge leads to boredom. I...

    Maria Ofelia Z. San Pedro, Ryan S. J. d. Baker in Artificial Intelligence in Education (2013)

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    Chapter and Conference Paper

    SAT-Based Bounded Model Checking for Weighted Interpreted Systems and Weighted Linear Temporal Logic

    We present a SAT-based bounded model checking (BMC) method for the weighted interpreted systems (i.e. interpreted systems augmented to include a weight function, one per each agent, that associates weights with a...

    Bożena Woźna-Szcześniak in PRIMA 2013: Principles and Practice of Mul… (2013)

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    Chapter and Conference Paper

    A DE Based Variable Iterated Greedy Algorithm for the No-Idle Permutation Flowshop Scheduling Problem with Total Flowtime Criterion

    In this paper, we present a variable iterated greedy (vIGP_DE) algorithm where its parameters (basically destruction size and cooling parameter for the simulated annealing type of acceptance criterion) are opt...

    M. Fatih Tasgetiren, Quan-Ke Pan, Ling Wang in Advanced Intelligent Computing Theories an… (2012)

  20. No Access

    Chapter and Conference Paper

    Scalable Analysis for Large Social Networks: The Data-Aware Mean-Field Approach

    Studies on social networks have proved that endogenous and exogenous factors influence dynamics. Two streams of modeling exist on explaining the dynamics of social networks: 1) models predicting links through ...

    Julie M. Birkholz, Rena Bakhshi, Ravindra Harige, Maarten van Steen in Social Informatics (2012)

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