Search results for "Computational models"
showing 10 items of 10 documents
Human Sensorimotor Communication: A Theory of Signaling in Online Social Interactions
2013
Although the importance of communication is recognized in several disciplines, it is rarely studied in the context of online social interactions and joint actions. During online joint actions, language and gesture are often insufficient and humans typically use non-verbal, sensorimotor forms of communication to send coordination signals. For example, when playing volleyball, an athlete can exaggerate her movements to signal her intentions to her teammates (say, a pass to the right) or to feint an adversary. Similarly, a person who is transporting a table together with a co-actor can push the table in a certain direction to signal where and when he intends to place it. Other examples of ``si…
Mechanobiological computational model for the development and formation of synovial joints
2019
El desarrollo de las articulaciones sinoviales se debe a diferentes factores genéticos, bioquímicos y mecánicos. Comienza en el brote de las extremidades, que tienen una masa ininterrumpida de células mesenquimales dentro de su núcleo, el blastema esquelético. La mayoría de estas células blastemales se diferencian en condrocitos; sin embargo, algunas de estas células permanecen, sin diferenciar, en el sitio de la futura articulación (interzona). La separación de los rudimentos ocurre con el proceso de cavitación dentro de la interzona. Después de la cavitación, se produce la morfogénesis articular y el hueso toma su forma final. Una vez finalizado el período embrionario, la articulación sin…
Deep Networks for Collaboration Analytics : Promoting Automatic Analysis of Face-to-Face Interaction in the Context of Inquiry-Based Learning
2021
Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education physics context where computer-supported collaborative inquiry-based learning (CSCIL) is a popular pedagogical approach. Since learners’ needs for support in CSCIL vary in the different inquiry phases (orientation, conceptualization, investigation, conclusion, and discussion), we studied, first, how the coding accuracy of five computational models…
Intentional strategies that make co-actors more predictable: The case of signaling
2013
AbstractPickering & Garrod (P&G) explain dialogue dynamics in terms of forward modeling and prediction-by-simulation mechanisms. Their theory dissolves a strict segregation between production and comprehension processes, and it links dialogue to action-based theories of joint action. We propose that the theory can also incorporate intentional strategies that increase communicative success: for example, signaling strategies that help remaining predictable and forming common ground.
Implicit perception simplicity and explicit perception complexity in sensorimotor communication: Comment on "The body talks: Sensorimotor communicati…
2019
[No abstract available]
A computational approach for the assessment of executive functions in patients with obsessive-compulsive disorder
2019
Previous studies on obsessive–compulsive disorder (OCD) showed impairments in executive domains, particularly in cognitive inhibition. In this perspective, the use of virtual reality showed huge potential in the assessment of executive functions; however, unfortunately, to date, no study on the assessment of these patients took advantage of the use of virtual environments. One of the main problems faced within assessment protocols is the use of a limited number of variables and tools when tailoring a personalized program. The main aim of this study was to provide a heuristic decision tree for the future development of tailored assessment protocols. To this purpose, we conducted a study that…
On Computational Models of Interconnected Perception, Reasoning, and Action — in Dream Worlds
2023
We distinguish between real versus unreal worlds, and include in the latter category fictional worlds and — perhaps the hardest type of unreal world to plumb — dream worlds. Dream worlds, from the standpoint of building computational cognitive models, present a number of acute challenges in at least three areas of human mentation that are for us as AI researchers and computational cognitive scientists deeply interconnected; these areas are: perception, reasoning, and action. We are attempting to specifically answer three tough questions, one in each of these three areas; the answers (for us) must be based upon robust computational models that are both theoretically well-founded, and brought…
What Will You Do Next? A Cognitive Model for Understanding Others’ Intentions Based on Shared Representations
2013
Goal-directed action selection is the problem of what to do next in order to progress towards goal achievement. This problem is computationally more complex in case of joint action settings where two or more agents coordinate their actions in space and time to bring about a common goal: actions performed by one agent influence the action possibilities of the other agents, and ultimately the goal achievement. While humans apparently effortlessly engage in complex joint actions, a number of questions remain to be solved to achieve similar performances in artificial agents: How agents represent and understand actions being performed by others? How this understanding influences the choice of ag…
Interaction in Spoken Word Recognition Models: Feedback Helps
2018
Human perception, cognition, and action requires fast integration of bottom-up signals with top-down knowledge and context. A key theoretical perspective in cognitive science is the interactive activation hypothesis: forward and backward flow in bidirectionally connected neural networks allows humans and other biological systems to approximate optimal integration of bottom-up and top-down information under real-world constraints. An alternative view is that online feedback is neither necessary nor helpful; purely feed forward alternatives can be constructed for any feedback system, and online feedback could not improve processing and would preclude veridical perception. In the domain of spo…
Contextual diversity is a main determinant of word identification times in young readers.
2013
Recent research with college-aged skilled readers by Adelman and colleagues revealed that contextual diversity (i.e., the number of contexts in which a word appears) is a more critical determinant of visual word recognition than mere repeated exposure (i.e., word frequency) (Psychological Science, 2006, Vol. 17, pp. 814-823). Given that contextual diversity has been claimed to be a relevant factor to word acquisition in developing readers, the effects of contextual diversity should also be a main determinant of word identification times in developing readers. A lexical decision experiment was conducted to examine the effects of contextual diversity and word frequency in young readers (child…