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107 results on '"Esteves, Augusto"'

4. Looking for Info: Evaluation of Gaze Based Information Retrieval in Augmented Reality

Author

Piening, Robin, Pfeuffer, Ken, Esteves, Augusto, Mittermeier, Tim, Prange, Sarah, Schröder, Philippe, Alt, Florian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ardito, Carmelo, editor, Lanzilotti, Rosa, editor, Malizia, Alessio, editor, Petrie, Helen, editor, Piccinno, Antonio, editor, Desolda, Giuseppe, editor, and Inkpen, Kori, editor

Published
2021
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5. Dot-to-Dot: Pre-reading Assessment of Literacy Risk via a Visual-Motor Mechanism on Touchscreen Devices

Author

Park, Wonjeong, Revés, Paulo, Esteves, Augusto, Kerridge, Jon M., Yim, Dongsun, Oh, Uran, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ardito, Carmelo, editor, Lanzilotti, Rosa, editor, Malizia, Alessio, editor, Petrie, Helen, editor, Piccinno, Antonio, editor, Desolda, Giuseppe, editor, and Inkpen, Kori, editor

Published
2021
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7. Metaheuristic Optimization Methods in Energy Community Scheduling: A Benchmark Study.

Author

Gomes, Eduardo, Pereira, Lucas, Esteves, Augusto, and Morais, Hugo

Subjects
METAHEURISTIC algorithms, PARTICLE swarm optimization, DIFFERENTIAL evolution, BIOLOGICAL evolution, RENEWABLE energy sources
Abstract

The prospect of the energy transition is exciting and sure to benefit multiple aspects of daily life. However, various challenges, such as planning, business models, and energy access are still being tackled. Energy Communities have been gaining traction in the energy transition, as they promote increased integration of Renewable Energy Sources (RESs) and more active participation from the consumers. However, optimization becomes crucial to support decision making and the quality of service for the effective functioning of Energy Communities. Optimization in the context of Energy Communities has been explored in the literature, with increasing attention to metaheuristic approaches. This paper contributes to the ongoing body of work by presenting the results of a benchmark between three classical metaheuristic methods—Differential Evolution (DE), the Genetic Algorithm (GA), and Particle Swarm Optimization (PSO)—and three more recent approaches—the Mountain Gazelle Optimizer (MGO), the Dandelion Optimizer (DO), and the Hybrid Adaptive Differential Evolution with Decay Function (HyDE-DF). Our results show that newer methods, especially the Dandelion Optimizer (DO) and the Hybrid Adaptive Differential Evolution with Decay Function (HyDE-DF), tend to be more competitive in terms of minimizing the objective function. In particular, the Hybrid Adaptive Differential Evolution with Decay Function (HyDE-DF) demonstrated the capacity to obtain extremely competitive results, being on average 3% better than the second-best method while boasting between around 2× and 10× the speed of other methods. These insights become highly valuable in time-sensitive areas, where obtaining results in a shorter amount of time is crucial for maintaining system operational capabilities. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Comparing Dwell time, Pursuits and Gaze Gestures for Gaze Interaction on Handheld Mobile Devices

Author

Namnakani, Omar, Abdrabou, Yasmeen, Grizou, Jonathan, Esteves, Augusto, Khamis, Mohamed, Namnakani, Omar, Abdrabou, Yasmeen, Grizou, Jonathan, Esteves, Augusto, and Khamis, Mohamed

Abstract

Gaze is promising for hands-free interaction on mobile devices. However, it is not clear how gaze interaction methods compare to each other in mobile settings. This paper presents the first experiment in a mobile setting that compares three of the most commonly used gaze interaction methods: Dwell time, Pursuits, and Gaze gestures. In our study, 24 participants selected one of 2, 4, 9, 12 and 32 targets via gaze while sitting and while walking. Results show that input using Pursuits is faster than Dwell time and Gaze gestures especially when there are many targets. Users prefer Pursuits when stationary, but prefer Dwell time when walking. While selection using Gaze gestures is more demanding and slower when there are many targets, it is suitable for contexts where accuracy is more important than speed. We conclude with guidelines for the design of gaze interaction on handheld mobile devices.

Published
2023

16. Tangible Interaction and Industrial Degrowth: Follow-up of a panel on environmental issues in tangible interfaces at ETIS 2022

Author

Letondal, Catherine, Tabard, Aurélien, Bornes, Laetitia, Esteves, Augusto, Hachet, Martin, Maquil, Valérie, Roudaut, Anne, Ecole Nationale de l'Aviation Civile (ENAC), Situated Interaction, Collaboration, Adaptation and Learning (SICAL), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), ENAC, Université de Toulouse, France, Université de Lisbonne, Popular interaction with 3d content (Potioc), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Luxembourg Institute of Science and Technology (LIST), University of Bristol [Bristol], and Eleonora Mencarini

Subjects
industrial degrowth, eco-feedback, environmental awareness, mixed-reality, waste, [INFO]Computer Science [cs], fabrication, sustainability, situated visualization, hacking, tangible interaction, materials
Abstract

International audience; This position paper seeks to ground and outline a discussion on environmental issues related to tangible user interfaces. The discussion that we present here started during a panel on "Tangible Interaction and Industrial Degrowth" that took place during the ETIS European studio on tangible interaction in November 2022 [5]. The panel discussed the problem from various angles and took input from the participants of the studio in the form of an online mapping brainstorm. The topics covered ranged from environmental feedback aspects to low-tech alternatives, as well as systemic, methodological and regulation considerations. This position paper reports on the approaches that were discussed and, based on these first insights, suggests directions for sustainable tangible interaction.

Published
2023

17. jamTable: Can Physical Interfaces Support the Collaboration between Novice and Experienced Musicians?

Author

Esteves, Augusto, Quintal, Filipe, Oakley, Ian, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Oakley, Ian, editor, and Brewster, Stephen, editor

Published
2013
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25. Break, Repair, Learn, Break Less

Author

Foosherian, Mina, Kernan Freire, S., Niforatos, E., Hribernik, Karl A., Thoben, Klaus-Dieter, Doring, Tanja, Boll, Susanne, Colley, Ashley, Esteves, Augusto, and Guerreiro, Joao

Subjects
User Experience, Human centered AI, Error Handling, Conversational Agents, Learning, Conversational Breakdown
Abstract

Conversational agents (CA) occasionally fail to understand the user's intention or respond inappropriately due to natural language complexity. These conversational breakdowns can happen because of low intent and entity prediction confidence scores. A promising repair strategy in such cases is that the CA proposes to users likely alternatives to proceed. If one of these options matches the user's intention, the breakdown is repaired successfully. We propose that successful repairs should be followed by a learning mechanism to minimize future breakdowns. After a successful repair, the CA, user, or both can learn each other's specific phrasing. This prevents similar phrasings from causing reoccurring breakdowns. We compared user preferences for these learning mechanisms in a scenario-based study with manufacturing workers (). Our result showed that users first prefer to share the learning burden with the CA (61.3%), followed by entirely outsourcing the learning burden to the CA (60.7%) as opposed to themselves.

Published
2022

36. Wattom

Author

Quintal, Filipe, primary, Esteves, Augusto, additional, Caires, Fábio, additional, Baptista, Vítor, additional, and Mendes, Pedro, additional

Published
2019
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38. Motion Correlation: Selecting Objects by Matching Their Movement:Selecting Objects by Matching Their Movement

Author

Velloso, Eduardo, Carter, Marcus, Newn, Joshua, Abreu Esteves, Augusto Emanuel, Clarke, Christopher, and Gellersen, Hans-Werner Georg

Subjects
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Abstract

Selection is a canonical task in user interfaces, commonly supported by presenting objects for acquisition by pointing. In this article, we consider motion correlation as an alternative for selection. The principle is to represent available objects by motion in the interface, have users identify a target by mimicking its specific motion, and use the correlation between the system’s output with the user’s input to determine the selection. The resulting interaction has compelling properties, as users are guided by motion feedback, and only need to copy a presented motion. Motion correlation has been explored in earlier work but only recently begun to feature in holistic interface designs. We provide a first comprehensive review of the principle, and present an analysis of five previously published works, in which motion correlation underpinned the design of novel gaze and gesture interfaces for diverse application contexts. We derive guidelines for motion correlation algorithms, motion feedback, choice of modalities, overall design of motion correlation interfaces, and identify opportunities and challenges identified for future research and design.

Published
2017

41. Remote Control by Body Movement in Synchrony with Orbiting Widgets:an Evaluation of TraceMatch

Author

Clarke, Christopher, Bellino, Alessio, Abreu Esteves, Augusto Emanuel, Gellersen, Hans-Werner Georg, Clarke, Christopher, Bellino, Alessio, Abreu Esteves, Augusto Emanuel, and Gellersen, Hans-Werner Georg

Abstract

In this work we consider how users can use body movement for remote control with minimal effort and maximum flexibility. TraceMatch is a novel technique where the interface displays available controls as circular widgets with orbiting targets, and where users can trigger a control by mimicking the displayed motion. The technique uses computer vision to detect circular motion as a uniform type of input, but is highly appropriable as users can produce matching motion with any part of their body. We present three studies that investigate input performance with different parts of the body, user preferences, and spontaneous choice of movements for input in realistic application scenarios. The results show that users can provide effective input with their head, hands and while holding objects, that multiple controls can be effectively distinguished by the difference in presented phase and direction of movement, and that users choose and switch modes of input seamlessly.

Published
2017

42. Motion Correlation: Selecting Objects by Matching Their Movement : Selecting Objects by Matching Their Movement

Author

Velloso, Eduardo, Carter, Marcus, Newn, Joshua, Abreu Esteves, Augusto Emanuel, Clarke, Christopher, Gellersen, Hans-Werner Georg, Velloso, Eduardo, Carter, Marcus, Newn, Joshua, Abreu Esteves, Augusto Emanuel, Clarke, Christopher, and Gellersen, Hans-Werner Georg

Abstract

Selection is a canonical task in user interfaces, commonly supported by presenting objects for acquisition by pointing. In this article, we consider motion correlation as an alternative for selection. The principle is to represent available objects by motion in the interface, have users identify a target by mimicking its specific motion, and use the correlation between the system’s output with the user’s input to determine the selection. The resulting interaction has compelling properties, as users are guided by motion feedback, and only need to copy a presented motion. Motion correlation has been explored in earlier work but only recently begun to feature in holistic interface designs. We provide a first comprehensive review of the principle, and present an analysis of five previously published works, in which motion correlation underpinned the design of novel gaze and gesture interfaces for diverse application contexts. We derive guidelines for motion correlation algorithms, motion feedback, choice of modalities, overall design of motion correlation interfaces, and identify opportunities and challenges identified for future research and design.

Published
2017

43. Remote Control by Body Movement in Synchrony with Orbiting Widgets : an Evaluation of TraceMatch

Author

Clarke, Christopher, Bellino, Alessio, Abreu Esteves, Augusto Emanuel, Gellersen, Hans-Werner Georg, Clarke, Christopher, Bellino, Alessio, Abreu Esteves, Augusto Emanuel, and Gellersen, Hans-Werner Georg

Abstract

In this work we consider how users can use body movement for remote control with minimal effort and maximum flexibility. TraceMatch is a novel technique where the interface displays available controls as circular widgets with orbiting targets, and where users can trigger a control by mimicking the displayed motion. The technique uses computer vision to detect circular motion as a uniform type of input, but is highly appropriable as users can produce matching motion with any part of their body. We present three studies that investigate input performance with different parts of the body, user preferences, and spontaneous choice of movements for input in realistic application scenarios. The results show that users can provide effective input with their head, hands and while holding objects, that multiple controls can be effectively distinguished by the difference in presented phase and direction of movement, and that users choose and switch modes of input seamlessly.

Published
2017

45. SmoothMoves

Author

Esteves, Augusto, primary, Verweij, David, additional, Suraiya, Liza, additional, Islam, Rasel, additional, Lee, Youryang, additional, and Oakley, Ian, additional

Published
2017
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49. WaveTrace

Author

Verweij, David, primary, Esteves, Augusto, additional, Khan, Vassilis-Javed, additional, and Bakker, Saskia, additional

Published
2017
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50. Motion Correlation

Author

Velloso, Eduardo, primary, Carter, Marcus, additional, Newn, Joshua, additional, Esteves, Augusto, additional, Clarke, Christopher, additional, and Gellersen, Hans, additional

Published
2017
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