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- ZeitschriftenartikelNews(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017)
- ZeitschriftenartikelAutomatic Detection of Visual Search for the Elderly using Eye and Head Tracking Data(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Dietz, Michael; Schork, Daniel; Damian, Ionut; Steinert, Anika; Haesner, Marten; André, ElisabethWith increasing age we often find ourselves in situations where we search for certain items, such as keys or wallets, but cannot remember where we left them before. Since finding these objects usually results in a lengthy and frustrating process, we propose an approach for the automatic detection of visual search for older adults to identify the point in time when the users need assistance. In order to collect the necessary sensor data for the recognition of visual search, we develop a completely mobile eye and head tracking device specifically tailored to the requirements of older adults. Using this device, we conduct a user study with 30 participants aged between 65 and 80 years ($$avg = 71.7,$$avg=71.7, 50% female) to collect training and test data. During the study, each participant is asked to perform several activities including the visual search for objects in a real-world setting. We use the recorded data to train a support vector machine (SVM) classifier and achieve a recognition rate of 97.55% with the leave-one-user-out evaluation method. The results indicate the feasibility of an approach towards the automatic detection of visual search in the wild.
- ZeitschriftenartikelDeclarative Reasoning about Space and Motion with Video(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Suchan, JakobWe present a commonsense theory of space and motion for representing and reasoning about motion patterns in video data, to perform declarative (deep) semantic interpretation of visuo-spatial sensor data, e.g., coming from object tracking, eye tracking data, movement trajectories. The theory has been implemented within constraint logic programming to support integration into large scale AI projects. The theory is domain independent and has been applied in a range of domains, in which the capability to semantically interpret motion in visuo-spatial data is central. In this paper, we demonstrate its capabilities in the context of cognitive film studies for analysing visual perception of spectators by integrating the visual structure of a scene and spectators gaze acquired from eye tracking experiments.
- ZeitschriftenartikelAI, Kitsch, and Communication(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Hertzberg, Joachim
- ZeitschriftenartikelHierarchical Hybrid Planning for Mobile Robots(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Stock, Sebastian
- ZeitschriftenartikelAssigning Group Activity Semantics to Multi-Device Mobile Sensor Data(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Loke, Seng W.; Abkenar, Amin BakshandehNumerous types of sensor data can be gathered via devices on mobile sensors, such as smartphones and smartwatches as well as things endowed with sensors. Such sensor data from disparate sources can be aggregated and inferences can be made about the user, the user’s physical activities as well as the physical activities of the group the user is part of. A perspective on this is that the group’s physical activity becomes an explanation for the sensor readings now obtained from this set of sensors. This paper proposes an explanation-based perspective on reasoning about multi-device sensor data, and describes a framework called GroupSense that prototypes this idea.
- ZeitschriftenartikelSemantic Interpretation of Multi-Modal Human-Behaviour Data(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Bhatt, Mehul; Kersting, KristianThis special issue presents interdisciplinary research—at the interface of artificial intelligence, cognitive science, and human-computer interaction—focussing on the semantic interpretation of human behaviour. The special issue constitutes an attempt to highlight and steer foundational methods research in artificial intelligence, in particular knowledge representation and reasoning, for the development of human-centred cognitive assistive technologies. Of specific interest and focus have been application outlets for basic research in knowledge representation and reasoning and computer vision for the cognitive, behavioural, and social sciences.
- ZeitschriftenartikelCognition, Interaction, Design(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Bhatt, Mehul; Cutting, James; Levin, Daniel; Lewis, ClaytonThis transcript documents select parts of discussions on the confluence of cognition, interaction, design, and human behaviour studies. The interview and related events were held as part of the CoDesign 2017 Roundtable (Bhatt in CoDesign 2017—The Bremen Summer of Cognition and Design/CoDesign Roundtable. University of Bremen, Bremen, 2017) at the University of Bremen (Germany) in June 2017. The Q/A sessions were moderated by Mehul Bhatt (University of Bremen, Germany., and Örebro University, Sweden) and Daniel Levin (Vanderbilt University, USA). Daniel Levin served in a dual role: as co-moderator of the discussion, as well as interviewee. The transcript is published as part of a KI Journal special issue on “Semantic Interpretation of Multi-Modal Human Behaviour Data” (Bhatt and Kersting in Special Issue on: Semantic Interpretation of Multimodal Human Behaviour Data, Artif Intell, 2017).
- ZeitschriftenartikelRed Hen Lab: Dataset and Tools for Multimodal Human Communication Research(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Joo, Jungseock; Steen, Francis F.; Turner, MarkResearchers in the fields of AI and Communication both study human communication, but despite the opportunities for collaboration, they rarely interact. Red Hen Lab is dedicated to bringing them together for research on multimodal communication, using multidisciplinary teams working on vast ecologically-valid datasets. This article introduces Red Hen Lab with some possibilities for collaboration, demonstrating the utility of a variety of machine learning and AI-based tools and methods to fundamental research questions in multimodal human communication. Supplemental materials are at http://babylon.library.ucla.edu/redhen/KI.
- ZeitschriftenartikelUsing Ontology-Based Data Access to Enable Context Recognition in the Presence of Incomplete Information(KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Thost, Veronika