13 papers · ranked by Valyu relevance
Trisha Mittal, Sanjoy Chowdhury, Pooja Guhan, Snikitha Chelluri + 1 more
'Dinesh Manocha'] Increasing use of social media has resulted in many detrimental effects in youth. With very little control over multimodal content consumed on these platforms and the false narratives conveyed by these multimodal social media postings, such platforms often impact the mental well-being of the users. To…
Gary B. Smith, Vaishak Belle, Ronald P. A. Petrick
In many scenarios where robots or autonomous systems may be deployed, the capacity to infer and reason about the intentions of other agents can improve the performance or utility of the system. For example, a smart home or assisted living facility is better able to select assistive services to deploy if it understands…
Anda Stoica, Tibor Kadar, Camelia Lemnaru, Rodica Potolea + 2 more
'Mihaela Dînşoreanu' 'Mario Munoz-Organero'] As virtual home assistants are becoming more popular, there is an emerging need for supporting languages other than English. While more wide-spread or popular languages such as Spanish, French or Hindi are already integrated into existing home assistants like Google Home or…
Iqbal H. Sarker
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and intelligence into machines or systems. Thus, AI-based modeling is the key to build automated, intelligent, and smart systems…
William A. Staples, Jason E. Plaks, Tibor Rutar
Does a harmful act appear more intentional-and worthy of opprobrium-if it was committed by a member of a stigmatized group? In two studies (N = 1,451), participants read scenarios in which an actor caused a homicide. We orthogonally manipulated the relative presence or absence of distal intent (a focus on the end) and…
Charles K. Turner
The mainstream theories and models of the physical sciences, including neuroscience, are all consistent with the principle of causality. Wholly causal explanations make sense of how things go, but are inherently value-neutral, providing no objective basis for true beliefs being better than false beliefs, nor for it…
Suyog Chandramouli, Danqing Shi, Aini Putkonen, Sebastiaan De Peuter + 4 more
Computational rationality explains human behavior as arising due to the maximization of expected utility under the constraints imposed by the environment and limited cognitive resources. This simple assumption, when instantiated via partially observable Markov decision processes (POMDPs), gives rise to a powerful…
June-Woo Kim, Hyekyung Yoon, Ho-Young Jung, Christoph M. Friedrich
Successful applications of deep learning technologies in the natural language processing domain have improved text-based intent classifications. However, in practical spoken dialogue applications, the users’ articulation styles and background noises cause automatic speech recognition (ASR) errors, and these may lead…
Nan Chen, Xiangdong Su, Tongyang Liu, Qizhi Hao + 1 more
Background To provide satisfying answers, medical QA system has to understand the intentions of the users’ questions precisely. For medical intent classification, it requires high-quality datasets to train a deep-learning approach in a supervised way. Currently, there is no public dataset for Chinese medical intent…
Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski
Modeling has actively tried to take the human out of the loop, originally for objectivity and recently also for automation. We argue that an unnecessary side effect has been that modeling workflows and machine learning pipelines have become restricted to only well-specified problems. Putting the humans back into the…
Ryan E Rhodes, Christopher A Yao
There is a growing concern among researchers with the limited effectiveness and yet subsequent stagnation of theories applied to physical activity (PA). One of the most highlighted areas of concern is the established gap between intention and PA, yet the considerable use of models that assume intention is the proximal…
Tim Schürmann, Philipp Beckerle
Cognitive modeling of human behavior has advanced the understanding of underlying processes in several domains of psychology and cognitive science. In this article, we outline how we expect cognitive modeling to improve comprehension of individual cognitive processes in human-agent interaction and, particularly…
Hugo Latapie, Ozkan Kilic, Kristinn R. Thórisson, Pei Wang + 1 more
'Patrick Hammer'] A cognitive architecture aimed at cumulative learning must provide the necessary information and control structures to allow agents to learn incrementally and autonomously from their experience. This involves managing an agent's goals as well as continuously relating sensory information to these in…