Results 51 to 60 of about 102,942 (277)
Conversational Agents for Health and Wellbeing [PDF]
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020 Conversational agents have increasingly been deployed in healthcare applications. However, significant challenges remain in developing this technology. Recent research in this area has highlighted that: i) patient safety was rarely evaluated; ii) health outcomes were poorly measured, and iii) no standardised evaluation methods were employed.
Ahmet Baki Kocaballi +9 more
openaire +1 more source
Neural Response Ranking for Social Conversation: A Data-Efficient Approach [PDF]
, 2018 The overall objective of 'social' dialogue systems is to support engaging, entertaining, and lengthy conversations on a wide variety of topics, including social chit-chat.
Dušek, Ondřej +2 more
core +2 more sources
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
3D‐Nanoprinted Fluidically Steerable Soft Robotic Microcatheters
Advanced Robotics Research, EarlyView.This work introduces a ∼3‐French (1 mm‐in‐diameter) soft robotic microcatheter fabricated by means of two‐photon direct laser writing. The 3D‐printed microcatheter enables remote, on‐demand steering via microfluidic actuation for guidewire‐free navigation of vascular networks as well as microcatheter‐mediated delivery of fluidic payloads to target ...
Bailey M. Felix +17 more
wiley +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Advanced Science, EarlyView.Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
Recent Advances and Challenges in Ammonia‐Hydrogen Energy Conversion
Advanced Science, EarlyView.This work summarizes the latest progress of various catalytic methods in ammonia‐hydrogen energy conversion. The challenges and outlook of ammonia‐hydrogen energy conversion system are also emphasized. This work expects to build a blueprint of renewable and efficient ammonia‐hydrogen energy conversion systems under mild conditions.
Menghao Lv +6 more
wiley +1 more source
Conversational Agents: Goals, Technologies, Vision and Challenges
Sensors, 2021 In recent years, conversational agents (CAs) have become ubiquitous and are a presence in our daily routines. It seems that the technology has finally ripened to advance the use of CAs in various domains, including commercial, healthcare, educational ...
Merav Allouch, Amos Azaria, Rina Azoulay
doaj +1 more source
A virtual diary companion [PDF]
, 2008 Chatbots and embodied conversational agents show turn based conversation behaviour. In current research we almost always assume that each utterance of a human conversational partner should be followed by an intelligent and/or empathetic reaction of ...
Maanen, Peter-Paul van +2 more
core +1 more source
Deep Active Learning for Dialogue Generation
, 2017 We propose an online, end-to-end, neural generative conversational model for open-domain dialogue. It is trained using a unique combination of offline two-phase supervised learning and online human-in-the-loop active learning.
Asghar, Nabiha +3 more
core +1 more source