Search results for "Task analysis"
showing 10 items of 86 documents
Haptic and Visual Feedback Assistance for Dual-Arm Robot Teleoperation in Surface Conditioning Tasks
2020
Contact driven tasks, such as surface conditioning operations (wiping, polishing, sanding, etc.), are difficult to program in advance to be performed autonomously by a robotic system, specially when the objects involved are moving. In many applications, human-robot physical interaction can be used for the teaching, specially in learning from demonstrations frameworks, but this solution is not always available. Robot teleoperation is very useful when user and robot cannot share the same workspace due to hazardous environments, inaccessible locations, or because of ergonomic issues. In this sense, this article introduces a novel dual-arm teleoperation architecture with haptic and visual feedb…
A novel clustering-based algorithm for solving spatially-constrained robotic task sequencing problems
2021
The robotic task sequencing problem (RTSP) appears in various forms across many industrial applications and consists of developing an optimal sequence of motions to visit a set of target points defined in a task space. Developing solutions to problems involving complex spatial constraints remains challenging due to the existence of multiple inverse kinematic solutions and the requirements for collision avoidance. So far existing studies have been limited to relaxed RTSPs involving a small number of target points and relatively uncluttered environments. When extending existing methods to problems involving greater spatial constraints and large sets of target points, they either require subst…
On the Influence of Affect in EEG-Based Subject Identification
2021
Biometric signals have been extensively used for user identification and authentication due to their inherent characteristics that are unique to each person. The variation exhibited between the brain signals (EEG) of different people makes such signals especially suitable for biometric user identification. However, the characteristics of these signals are also influenced by the user’s current condition, including his/her affective state. In this paper, we analyze the significance of the affect-related component of brain signals within the subject identification context. Consistent results are obtained across three different public datasets, suggesting that the dominant component of the sign…
Image-Evoked Affect and its Impact on Eeg-Based Biometrics
2019
Electroencephalography (EEG) signals provide a representation of the brain’s activity patterns and have been recently exploited for user identification and authentication due to their uniqueness and their robustness to interception and artificial replication. Nevertheless, such signals are commonly affected by the individual’s emotional state. In this work, we examine the use of images as stimulus for acquiring EEG signals and study whether the use of images that evoke similar emotional responses leads to higher identification accuracy compared to images that evoke different emotional responses. Results show that identification accuracy increases when the system is trained with EEG recordin…
Professional Embodiment: Walking, Re-engagement of Desk Interactions, and Provision of Instruction during Classroom Rounds
2018
Abstract Unlike continuous whole-class (plenary) interaction, independent task work involves incipient teacher–student talk, as the teacher typically ‘makes rounds’ to engage in brief desk interactions with students. This article draws on multimodal conversation analysis to investigate how teacher movement during tasks offers resources for re-engaging in desk interactions and offering task-related guidance. The focus is on teachers’ walking trajectories and ways of positioning the body, and students’ orientation to them, in (i) (pre-)opening moments of a desk interaction, and (ii) during a subsequent instructional turn that guides students with the ongoing task. The analysis shows how the p…
Teaching hand-washing with pictorial cues
2016
<p><span style="font-family: Garamond; font-size: medium;">Applied behavior analysis has been shown to be an effective means to teach daily living skills to individuals with intellectual disability. In the present study pictorial cues based on task analysis, system of least prompts, and social reinforcement were used to teach a man with mild intellectual disability to wash his hands correctly. An ABAB reversal design was used with follow-up after two weeks. The results show a rapid increase in hand-washing skills.</span></p>
Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports
2018
Due to their disclosure required by law, business management reports have become publicly available for a large number of companies, and these reports offer the opportunity to assess the financial health or distress of a company, both quantitatively from the balance sheets and qualitatively from the text. In this paper, we analyze the potential of deep sentiment mining from the textual parts of business management reports and aim to detect signals for financial distress. We (1) created the largest corpus of business reports analyzed qualitatively to date, (2) defined a non-trivial target variable based on the so-called Altman Z-score, (3) developed a filtering of sentences based on class-co…
Asymmetries of Knowledge and Epistemic Change in Social Gaming Interaction
2014
While a growing number of studies investigate the role of knowledge and interactional management of knowledge asymmetries in conversation analysis, the epistemic organization of multilingual and second language interactions is still largely unexplored. This article addresses this issue by investigating how knowledge asymmetries and changing positions with regard to knowledge impact social interaction in multilingual gaming activities. Drawing on a collection of video recordings of social gaming sessions collected over a two year period and involving the same two participants, we examine how the participants orient to knowledge and deal with knowledge asymmetries while solving game-related p…
A Method for Building Massive Open Online Courses for Elderly People MOOCEP: From the User Perceptions
2018
This Research Full Paper presents the user perceptions when elderly people use a MOOC which was built by using the method for building massive open online courses for elderly people (MOOCEP). Context: Currently, the elderly population has increased in respect to the total population. According to Administration on Aging (AoA) for the year 2060, the elderly population will be double than presented in the results of the last census. Likewise, a reduced proportion of the population of elderly people is involved with technology or have a very close relation with it. However, the universal access to technology is important in the field of education and interactive systems due to the need of prom…
Path Following in Non-Visual Conditions.
2018
Path-following tasks have been investigated mostly under visual conditions, that is when subjects are able to see both the path and the tool, or limb, used for navigation. Moreover, only basic path shapes are usually adopted. In the present experiment, participants must rely exclusively on continuous, non-speech, and ecological auditory and vibrotactile cues to follow a path on a flat surface. Two different, asymmetric path shapes were tested. Participants navigated by moving their index finger over a surface sensing position and force. Results show that the different non-visual feedback modes did not affect the task's accuracy, yet they affected its speed, with vibrotactile feedback causin…