HAL - Lille 3
Not a member yet
5967 research outputs found
Sort by
Using High Frequency Accelerometer and Mouse to Compensate for End-to-end Latency in Indirect Interaction
No full textInternational audienceEnd-to-end latency corresponds to the temporal difference between a user input and the corresponding output from a system. It has been shown to degrade user performance in both direct and indirect interaction. If it can be reduced to some extend, latency can also be compensated through software compensation by trying to predict the future position of the cursor based on previous positions, velocities and accelerations. In this paper, we propose a hybrid hardware and software prediction technique specifically designed for partially compensating end-to-end latency in indirect pointing. We combine a computer mouse with a high frequency accelerometer to predict the future location of the pointer using Euler based equations. Our prediction method results in more accurate prediction than previously introduced prediction algorithms for direct touch. A controlled experiment also revealed that it can improve target acquisition time in pointing tasks
Improving Discoverability and Expert Performance in Force-Sensitive Text Selection for Touch Devices with Mode Gauges
No full textInternational audienceText selection on touch devices can be a difficult task for users. Letters and words are often too small to select directly , and the enhanced interaction techniques provided by the OS – magnifiers, selection handles, and methods for selecting at the character, word, or sentence level – often lead to as many usability problems as they solve. The introduction of force-sensitive touchscreens has added another enhancement to text selection (using force for different selection modes); however, these modes are difficult to discover and many users continue to struggle with accurate selection. In this paper we report on an investigation of the design of touch-based and force-based text selection mechanisms, and describe two novel text-selection techniques that provide improved discov-erability, enhanced visual feedback, and a higher performance ceiling for experienced users. Two evaluations show that one design successfully combined support for novices and experts , was never worse than the standard iOS technique, and was preferred by participants
Actuator Failure Compensation for Two Linked 2WD Mobile Robots Based on Multiple-Model Control
No full textInternational audienceThis paper develops a new actuator failure compensation scheme for two linked two-wheel drive (2WD) mobile robots based on multiple-model control. First, a configuration of two linked 2WD robots is described, and their kinematics and dynamics are modeled. Then, a multiple-model based failure compensation scheme is developed to compensate for actuator failures, consisting of a kinematic controller, multiple dynamic controllers and a control switching mechanism, which ensures system stability and asymptotic tracking properties. Finally, simulation results verify the effectiveness of the proposed failure compensation control system
Pitching for Social Change: Toward a Relational Approach to Selling and Buying Social Issues
No full textInternational audienc
Bitcoin, la cryptomonnaie
No full textNational audienceLa cryptographie et la puissance des réseaux ont rendu possible l’existence de monnaies purement numériques et dépourvues d’une autorité centrale de contrôle
Définition et identification des tables de nomenclatures
No full textInternational audienceDans une base de données relationnelle, certaines tables ont pour finalité de rassem- bler et d’apporter des informations complémentaires aux lignes des tables constituant le coeur de la base. Ces données sont stockées dans des tables que nous désignons “tables de nomen- clatures”. Pouvoir les distinguer présente de nombreux intérêts dans le cadre de l’étude, la maintenance et l’évolution d’une base de données. Nous proposons des propriétés permettant de définir la nature de ces tables. Une expérience permettant de valider les propriétés propo- sées est décrite puis appliquée à un cas d’étude. Un modèle de classification pour les tables de nomenclatures est construit à l’aide d’un algorithme d’exploration de données (datamining). Son évaluation montre une précision 88, 6% et un rappel de 88, 7%.ABSTRACT. In a relational database, some tables are used to gather additional information to rows of tables forming the core of the database. This data is stored in tables that we call “no- menclature tables”. Being able to distinguish them offers many interests in the study, mainte- nance and evolution of databases. We propose properties to define the nature of these tables. Then, an experiment to validate the proposed properties is described and applied on a case study. A classification model for nomenclature tables is built using a datamining algorithm. Its evaluation shows a precision of 88.6% and a recall of 88.7%
Dealing with Epistemic Uncertainty in Multi-objective Optimization: A Survey
No full textInternational audienceMulti-objective optimization under epistemic uncertainty is today present as an active research area reflecting reality of many practical applications. In this paper, we try to present and discuss relevant state-of-the-art related to multi-objective optimisation with uncertain-valued objective. In fact, we give an overview of approaches that have already been proposed in this context and limitations of each one of them. We also present recent researches developed for taking into account uncertainty in the Pareto optimality aspect
The ≥5% cut-off reveals tumor PD-L1 positivity as potential selection biomarker for patient enrollment into the trials evaluating anti-PD-1 or anti-PD-L1 agents in neoadjuvant treatment of triple negative breast cancer
No full textInternational audienc
L'expérience interactionnelle dans le développement professionnel des infirmiers en psychiatrie en France
No full textInternational audienc
Airbnb: between consensual sharing and collateral effects
No full textTeaching note n° 218-0014-8 publiée dans The Case Centre (case study 218-0014-1, https://www.thecasecentre.org/main/products/view?id=150424).International audienc