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Auflistung Künstliche Intelligenz 30(1) - Februar 2016 nach Titel
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- ZeitschriftenartikelA Camera-Based Mobility Aid for Visually Impaired People(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Schwarze, Tobias; Lauer, Martin; Schwaab, Manuel; Romanovas, Michailas; Böhm, Sandra; Jürgensohn, ThomasWe present a wearable assistance system for visually impaired persons that perceives the environment with a stereo camera system and communicates obstacles and other objects to the user in form of intuitive acoustic feedback. The system is designed to complement traditional assistance aids. We describe the core techniques of scene understanding, head tracking, and sonification and show in an experimental study that it enables users to walk in unknown urban terrain and to avoid obstacles safely.
- ZeitschriftenartikelCognitive Space and Spatial Cognition: The SFB/TR 8 Spatial Cognition(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Ragni, Marco; Barkowsky, Thomas; Nebel, Bernhard; Freksa, ChristianSpace and time are two of the most fundamental categories any human, animal, or other cognitive agent such as an autonomous robot has to deal with. They need to perceive their environments, make sense of their perceptions, and make interactions as embodied entities with other agents and their environment. The theoretical foundations and practical implications have been investigated from a cognitive perspective (i.e., from an information processing point of view) within the Sonderforschungsbereich/Transregio SFB/TR 8 Spatial Cognition (http://www.sfbtr8.spatial-cognition.de) over the past 12 years jointly by the Universities of Bremen and Freiburg. The research covered fundamental questions: what are the specific requirements of reasoning about space and time, for acting in space, and for any form of interaction including communication in spatio-temporal domains? It has been a success story in all research lines from foundational research to applications of spatial cognition in robotics, interaction and communication. The SFB/TR 8 actually shaped a new research field by extending a previous subfield of cognitive science with its own interdisciplinary techniques.
- ZeitschriftenartikelCompanion-Technology for Cognitive Technical Systems(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Biundo, Susanne; Wendemuth, AndreasWe introduce the Transregional Collaborative Research Centre “Companion-Technology for Cognitive Technical Systems”—a cross-disciplinary endeavor towards the development of an enabling technology for Companion-systems. These systems completely adjust their functionality and service to the individual user. They comply with his or her capabilities, preferences, requirements, and current needs and adapt to the individual’s emotional state and ambient conditions. Companion-like behavior of technical systems is achieved through the investigation and implementation of cognitive abilities and their well-orchestrated interplay.
- ZeitschriftenartikelCompanion-Technology: An Overview(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Biundo, Susanne; Höller, Daniel; Schattenberg, Bernd; Bercher, PascalCompanion-technology is an emerging field of cross-disciplinary research. It aims at developing technical systems that appear as “Companions” to their users. They serve as co-operative agents assisting in particular tasks or, in a more general sense, even give companionship to humans. Overall, Companion-technology enables technical systems to smartly adapt their services to individual users’ current needs, their requests, situation, and emotion. We give an introduction to the field, discuss the most relevant application areas that will benefit from its developments, and review the related research projects.
- ZeitschriftenartikelDesiderata for the Design of Companion Systems(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Rösner, Dietmar; Haase, Matthias; Bauer, Thomas; Günther, Stephan; Krüger, Julia; Frommer, JörgWe report about evaluations of the LAST MINUTE corpus which comprises multimodal recordings (audio, video, biopsychological data, verbatim transcripts, psychological questionnaires, in-depth user interviews) of Wizard of Oz simulated naturalistic human companion interactions in German. Based on the results of these analyses we discuss consequences for the design of future companion systems.
- ZeitschriftenartikelEmotional and User-Specific Acoustic Cues for Improved Analysis of Naturalistic Interactions(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Siegert, Ingo
- ZeitschriftenartikelEnglisch or/oder Deutsch?(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Timpf, Sabine
- ZeitschriftenartikelHow Companion-Technology can Enhance a Multi-Screen Television Experience: A Test Bed for Adaptive Multimodal Interaction in Domestic Environments(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Gugenheimer, Jan; Honold, Frank; Wolf, Dennis; Schüssel, Felix; Seifert, Julian; Weber, Michael; Rukzio, EnricoThis article deals with a novel multi-screen interactive TV setup (smarTVision) and its enhancement through Companion-Technology. Due to their flexibility and the variety of interaction options, such multi-screen scenarios are hardly intuitive for the user. While research known so far focuses on technology and features, the user itself is often not considered adequately. Companion-Technology has the potential of making such interfaces really user-friendly. Building upon smarTVision, it’s extension via concepts of Companion-Technology is envisioned. This combination represents a versatile test bed that not only can be used for evaluating usefulness of Companion-Technology in a TV scenario, but can also serve to evaluate Companion-Systems in general.
- ZeitschriftenartikelHybrid Planning and Scheduling(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Schattenberg, Bernd
- ZeitschriftenartikelInformation Density and Linguistic Encoding (IDeaL)(KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Crocker, Matthew W.; Demberg, Vera; Teich, ElkeWe introduce IDeaL (Information Density and Linguistic Encoding), a collaborative research center that investigates the hypothesis that language use may be driven by the optimal use of the communication channel. From the point of view of linguistics, our approach promises to shed light on selected aspects of language variation that are hitherto not sufficiently explained. Applications of our research can be envisaged in various areas of natural language processing and AI, including machine translation, text generation, speech synthesis and multimodal interfaces.