Cooperative Cognitive Automobiles

Safety requirements are among the most ambitious challenges for autonomous guidance and control of automobiles. A human-like understanding of the surrounding traffic scene is a key element to fulfill these requirements, but is a still missing capability of today's intelligent vehicles. Few recent proposals for driver assistance systems approach this issue with methods from the AI research to allow for a reasonable situation evaluation and behavior generation. While the methods proposed in this contribution are lend from cognition in order to mimic human capabilities, we argue that in the long term automated cooperation among traffic participants bears the potential to improve traffic efficiency and safety beyond the level attainable by human drivers. Both issues are major objectives of the Transregional Collaborative Research Centre 28 'cognitive automobiles,' TCRC28 that is outlined in the paper. Within this project the partners focus on systematic and interdisciplinary research on machine cognition of mobile systems as the basis for a scientific theory of automated machine behavior

Social Software, Groups, and Governance

Formal groups play an important role in the law. Informal groups largely lie outside it. Should the law be more attentive to informal groups? The paper argues that this and related questions are appearing more frequently as a number of computer technologies, which I collect under the heading social software, increase the salience of groups. In turn, that salience raises important questions about both the significance and the benefits of informal groups. The paper suggests that there may be important social benefits associated with informal groups, and that the law should move towards a framework for encouraging and recognizing them. Such a framework may be organized along three dimensions by which groups arise and sustain themselves: regulating places, things, and stories

Final report TransForum WP-046 : images of sustainable development of Dutch agriculture and green space

In the project “Images of sustainable development of Dutch agriculture and green space” three PhD candidates studied the topic of images in sustainable development. Frans Hermans focused on the topic of societal images and their role and influence in innovation projects. The title of his subproject was “Social learning for sustainability in dynamic agricultural innovation networks.” Joost Vervoort explored the topic of “visualisation”, that is, using and producing images for specific purposes, in the context of innovation projects and programmes, in a subproject called “Step into the system: interactive media strategies for the exchange of insights on social-ecological change.” Finally, Dirk van Apeldoorn took a complex adaptive systems approach to images. He modelled various agro-ecosystems to compare images of those systems with the behaviour of those systems. His subproject was called “Modeling resilience of agro-ecosystems.

Catching up or being dependent: the growth of capabilities among indigenous technological integrators during Chinese development

The thesis appraises certain key processes – albeit rather limited in number and scope – widely assumed to be associated with assessing the role of technological capability building in developing country (DC) firms. The latter are affected by their DC status on both the demand side (e.g. by rapid growth of the economy via consumption and trade) and the supply side (of technological catch-up etc.). Such broad considerations set the scene for our specific study. In this thesis, the component of technological capabilities that we highlight by studying local integrated product providers is the capability for systemic product development. We argue that the organisational system of industrial firms in DCs plays a fundamental role in their technological learning performance. Here, the developmental context is stressed because we suggest that the knowledge about how to organise effective learning, termed 'social technology', is at least as scarce as the 'physical technology' in such contexts, compared with those prevailing in the developed countries. Therefore, when DC firms shift into a new domain, the organisational systems that they rely on often have to be created rather than simply selected. This may be because, as first-movers in their circumstances, even when they are informed by external sources, they have very little practical experience of carrying out similar actions successfully within their own contexts. Therefore, studying organisational building in their early phase could prove critical for understanding their capability building processes. Empirical studies of China‘s car-making and telecom-equipment sectors over the past three decades are taken to support theoretical exploration in this thesis. Some scholars (e.g. Bell and Pavitt, 1992) point out that, in DCs, the growth of production capacity does not automatically lead to the building of technological capability. The experiences of China‘s car-making and telecomequipment sectors are exactly in line with this point of view. From the mid 1980s, the Chinese government implemented a 'trading market for technology (TMFT)' policy, encouraging its backbone SOEs (State Owned Enterprises) to establish productive joint ventures (JVs) with MNCs (Multinational Corporations). By doing so, policy-makers expected backbone SOEs to undergo a bottom-up capability building trajectory via learning closely from their JV partners. We term these SOEs and their JVs the 'Group-A firms' in our research. Contrary to the expectations of policy-makers, Group-A firms were locked into the manufacturing segment even after twenty years of TMFT practices, and seldom had new systemic products developed indigenously, prior to 2005 at least. On the contrary, the indigenous advance of technological capability building has actually been led by some new entrants. Their development has been independent of the advocacy of TMFT. They relied on in-house developed products from the very beginning after entering the corresponding industries, and succeeded in building sustainable competitiveness. We term them the 'Group-B firms'. By comparing these Group-A and Group-B firms, we argue that there are distinctive differences in organisational learning systems between them. Four components are developed of the concept of organisational learning systems, i.e. the strategic intent, the authority over strategic resource allocation, the pattern of organisational mobilisation and learning integration, and the facilities and institutions for knowledge accumulation. For the latter three components, we succeed in generating a clear contrast between these two groups of firms. We undertake a thorough comparison of authority over strategic resource allocation by studying the constitution of their top committees. As for the patterns of learning mobilisation and organisational integration, we find distinct differences in the scope of knowledge communication of front-line engineers, and relevant institutional arrangements to mobilise, integrate and direct the content of communication. Regarding the facilities for knowledge accumulation and application, the study of their knowledge database building engenders a clear contrast, as well as the institutional arrangements to regulate and promote relevant activities within their organisations. We also discover significant connections between the organisational systems of Group-B firms and their processes of knowledge search, generation and accumulation. Three important mechanisms of new knowledge creation in Group-B firms are examined, namely learning through recruitment, learning through cooperative projects and learning through interaction with customers. Our empirical study reveals that the authority stressing the investment in new product and technology development, the cross-boundary inter-departmental platform of knowledge conversion, the comprehensive knowledge-accumulating facilities, and the institutions backing these components play fundamental roles in shaping these learning mechanisms. Therefore, the organisational differences of these two groups of firms are connected with the differences of these two subsets of firms‘ technological learning performances. Besides, we discuss the social roots of their organisational systems by historically revisiting China‘s industrial system. By doing so, for the research community that focuses on technological learning in DCs, this thesis advocates a shift of research from stressing assimilative processes of firms to giving more emphasis to organisational changes as a centrepiece of studies

DESIGNING FOR INSTRUMENT-MEDIATED ACTIVITY

The need to design information processing systems based on an anthropocentric approach, i.e., one where the design of technical objects deliberately draws from and is geared to the user’s activity, is a critical issue in the modernization of life and work environments. Within this framework, we propose a developmental approach to instruments in which they are not just understood as fabricated material objects but are also psychological and social entities. We present a model and propose ways of approaching the design of information processing systems

Paradigm shift: the aesthetic of the automobile in the age of sustainability

A great challenge for a future sustainable society is to create a new design culture protecting environmental value. A new product’s language is determinant not only for marketing success and public acceptance, but also for a new understanding of the conflict between aesthetics and ethics that haunts the development of this new design language. The designer’s approach to the new trends will certainly deal with the relationship between industry and society, form and function, package and architecture, and it is an opportunity to create new and coherent design

DYNAMICS OF COLLABORATIVE NAVIGATION AND APPLYING DATA DRIVEN METHODS TO IMPROVE PEDESTRIAN NAVIGATION INSTRUCTIONS AT DECISION POINTS FOR PEOPLE OF VARYING SPATIAL APTITUDES

Cognitive Geography seeks to understand individual decision-making variations based on fundamental cognitive differences between people of varying spatial aptitudes. Understanding fundamental behavioral discrepancies among individuals is an important step to improve navigation algorithms and the overall travel experience. Contemporary navigation aids, although helpful in providing turn-by-turn directions, lack important capabilities to distinguish decision points for their features and importance. Existing systems lack the ability to generate landmark or decision point based instructions using real-time or crowd sourced data. Systems cannot customize personalized instructions for individuals based on inherent spatial ability, travel history, or situations. This dissertation presents a novel experimental setup to examine simultaneous wayfinding behavior for people of varying spatial abilities. This study reveals discrepancies in the information processing, landmark preference and spatial information communication among groups possessing differing abilities. Empirical data is used to validate computational salience techniques that endeavor to predict the difficulty of decision point use from the structure of the routes. Outlink score and outflux score, two meta-algorithms that derive secondary scores from existing metrics of network analysis, are explored. These two algorithms approximate human cognitive variation in navigation by analyzing neighboring and directional effect properties of decision point nodes within a routing network. The results are validated by a human wayfinding experiment, results show that these metrics generally improve the prediction of errors. In addition, a model of personalized weighting for users\u27 characteristics is derived from a SVMrank machine learning method. Such a system can effectively rank decision point difficulty based on user behavior and derive weighted models for navigators that reflect their individual tendencies. The weights reflect certain characteristics of groups. Such models can serve as personal travel profiles, and potentially be used to complement sense-of-direction surveys in classifying wayfinders. A prototype with augmented instructions for pedestrian navigation is created and tested, with particular focus on investigating how augmented instructions at particular decision points affect spatial learning. The results demonstrate that survey knowledge acquisition is improved for people with low spatial ability while decreased for people of high spatial ability. Finally, contributions are summarized, conclusions are provided, and future implications are discussed

How sketches work: a cognitive theory for improved system design

Evidence is presented that in the early stages of design or composition the mental processes used by artists for visual invention require a different type of support from those used for visualising a nearly complete object. Most research into machine visualisation has as its goal the production of realistic images which simulate the light pattern presented to the retina by real objects. In contrast sketch attributes preserve the results of cognitive processing which can be used interactively to amplify visual thought. The traditional attributes of sketches include many types of indeterminacy which may reflect the artist's need to be "vague". Drawing on contemporary theories of visual cognition and neuroscience this study discusses in detail the evidence for the following functions which are better served by rough sketches than by the very realistic imagery favoured in machine visualising systems. 1. Sketches are intermediate representational types which facilitate the mental translation between descriptive and depictive modes of representing visual thought. 2. Sketch attributes exploit automatic processes of perceptual retrieval and object recognition to improve the availability of tacit knowledge for visual invention. 3. Sketches are percept-image hybrids. The incomplete physical attributes of sketches elicit and stabilise a stream of super-imposed mental images which amplify inventive thought. 4. By segregating and isolating meaningful components of visual experience, sketches may assist the user to attend selectively to a limited part of a visual task, freeing otherwise over-loaded cognitive resources for visual thought. 5. Sequences of sketches and sketching acts support the short term episodic memory for cognitive actions. This assists creativity, providing voluntary control over highly practised mental processes which can otherwise become stereotyped. An attempt is made to unite the five hypothetical functions. Drawing on the Baddeley and Hitch model of working memory, it is speculated that the five functions may be related to a limited capacity monitoring mechanism which makes tacit visual knowledge explicitly available for conscious control and manipulation. It is suggested that the resources available to the human brain for imagining nonexistent objects are a cultural adaptation of visual mechanisms which evolved in early hominids for responding to confusing or incomplete stimuli from immediately present objects and events. Sketches are cultural inventions which artificially mimic aspects of such stimuli in order to capture these shared resources for the different purpose of imagining objects which do not yet exist. Finally the implications of the theory for the design of improved machine systems is discussed. The untidy attributes of traditional sketches are revealed to include cultural inventions which serve subtle cognitive functions. However traditional media have many short-comings which it should be possible to correct with new technology. Existing machine systems for sketching tend to imitate nonselectively the media bound properties of sketches without regard to the functions they serve. This may prove to be a mistake. It is concluded that new system designs are needed in which meaningfully structured data and specialised imagery amplify without interference or replacement the impressive but limited creative resources of the visual brain

Design prototyping methods

textProduct development is often modeled as a cycle between phases of designing, building, and testing. This work will explore early stage build efforts of product design, which is also known as prototyping. Prototyping is a critical determinant of product success. Research shows that different approaches to prototyping can greatly affect design outcome. This work provides an integrated overview, and expansion of the existing work on design prototyping methods. Following the introduction, an extensive literature review of design prototyping tools, techniques, and methods is provided. These sources are indexed and comparatively reviewed. The capabilities of a novel hybrid prototyping technique is explored through a design case study. Next, insights from the review are integrated in a context independent prototyping strategy method. The method is developed with heuristics extracted from the literature, and additional insights from experimental studies. The technique is then experimentally evaluated. Finally, results of an extensive study of an online design repository are provided. The results include five key principles for prototype design and fabrication. The presence of these principles in the repository is validated through a novel crowd-sourced online study. The outcome effects of deploying these principles to design teams is experimentally evaluated. Overall, this research provides a guide to prototyping which includes a systematically indexed review and comparison of the existing work, as well as a novel method, and principles for design and fabrication.Mechanical Engineerin