84,694 research outputs found
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
We present DRLViz, a visual analytics interface to interpret the internal
memory of an agent (e.g. a robot) trained using deep reinforcement learning.
This memory is composed of large temporal vectors updated when the agent moves
in an environment and is not trivial to understand due to the number of
dimensions, dependencies to past vectors, spatial/temporal correlations, and
co-correlation between dimensions. It is often referred to as a black box as
only inputs (images) and outputs (actions) are intelligible for humans. Using
DRLViz, experts are assisted to interpret decisions using memory reduction
interactions, and to investigate the role of parts of the memory when errors
have been made (e.g. wrong direction). We report on DRLViz applied in the
context of video games simulators (ViZDoom) for a navigation scenario with item
gathering tasks. We also report on experts evaluation using DRLViz, and
applicability of DRLViz to other scenarios and navigation problems beyond
simulation games, as well as its contribution to black box models
interpretability and explainability in the field of visual analytics
CompendiumLD â a tool for effective, efficient and creative learning design
Developers and teachers go through a complex decision making process when designing new learning activities â working towards an effective pedagogical mix, combining resources, tools, student and tutor support. This paper describes CompendiumLD, a prototype tool we have built to support practitioners through the process of designing learning activities. We describe how the tool fits into our vision of a dynamic, interactive set of resources and system tools to support effective, efficient and creative learning design. It describes CompendiumLD's features and explains the rationale behind their development. It shows how the tool is intended to aid designers make choices, and plan developments, facilitating creativity and efficiency in the design process. In our conclusions we consider how such a system can support the design of effective learning activities
A systematic review of protocol studies on conceptual design cognition: design as search and exploration
This paper reports findings from the first systematic review of protocol studies focusing specifically on conceptual design cognition, aiming to answer the following research question: What is our current understanding of the cognitive processes involved in conceptual design tasks carried out by individual designers? We reviewed 47 studies on architectural design, engineering design and product design engineering. This paper reports 24 cognitive processes investigated in a subset of 33 studies aligning with two viewpoints on the nature of designing: (V1) design as search (10 processes, 41.7%); and (V2) design as exploration (14 processes, 58.3%). Studies on search focused on solution search and problem structuring, involving: long-term memory retrieval; working memory; operators and reasoning processes. Studies on exploration investigated: co-evolutionary design; visual reasoning; cognitive actions; and unexpected discovery and situated requirements invention. Overall, considerable conceptual and terminological differences were observed among the studies. Nonetheless, a common focus on memory, semantic, associative, visual perceptual and mental imagery processes was observed to an extent. We suggest three challenges for future research to advance the field: (i) developing general models/theories; (ii) testing protocol study findings using objective methods conducive to larger samples and (iii) developing a shared ontology of cognitive processes in design
e-Consumer Behaviour
Purpose â The primary purpose of this article is to bring together apparently disparate and yet
interconnected strands of research and present an integrated model of e-consumer behaviour. It
has a secondary objective of stimulating more research in areas identified as still being underexplored.
Design/methodology/approach â The paper is discursive, based on analysis and synthesis of econsumer
literature.
Findings â Despite a broad spectrum of disciplines that investigate e-consumer behaviour and
despite this special issue in the area of marketing, there are still areas open for research into econsumer
behaviour in marketing, for example the role of image, trust and e-interactivity. The
paper develops a model to explain e-consumer behaviour.
Research limitations/implications â As a conceptual paper, this study is limited to literature and
prior empirical research. It offers the benefit of new research directions for e-retailers in
understanding and satisfying e-consumers. The paper provides researchers with a proposed
integrated model of e-consumer behaviour.
Originality/value â The value of the paper lies in linking a significant body of literature within a
unifying theoretical framework and the identification of under-researched areas of e-consumer
behaviour in a marketing context
CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap
After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in
multimedia search engines, we have identified and analyzed gaps within European research effort during our second year.
In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio-
economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown
of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on
requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the
community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our
Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as
National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core
technological gaps that involve research challenges, and âenablersâ, which are not necessarily technical research
challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal
challenges
- âŠ