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Ingmar Rauschert

dblp:17/3383 · DBLP profile ↗
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6ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
3D vision · 50% Segmentation and scene understanding · 50%
Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 50% Haptics and multimodal interaction · 38% Collaborative and social computing · 12%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › human mesh recovery
human body shape estimation
0.112012
A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation · ECCV (5) 2012
Computer vision › Segmentation and scene understanding › image segmentation
pixel-level segmentation
0.112012
A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation · ECCV (5) 2012
Interaction techniques and input › input modality
multimodal input
0.012003
Speech-gesture driven multimodal interfaces for crisis management · Proc. IEEE 2003
Haptics and multimodal interaction › multimodal interaction
speech and gesture interaction
0.012003
Speech-gesture driven multimodal interfaces for crisis management · Proc. IEEE 2003

Methods — techniques the papers use, named apart from their topics

generative modeling · 0.1
YearPublicationVenuePosition
2012 A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation
Ingmar Rauschert, Robert T. Collins
ECCV (5)1
2005 Enabling collaborative geoinformation access and decision-making through a natural, multimodal interface
abstract
Current computing systems do not support human work effectively. They restrict human–computer interaction to one mode at a time and are designed with an assumption that use will be by individuals (rather than groups), directing (rather than interacting with) the system. To support the ways in which humans work and interact, a new paradigm for computing is required that is multimodal, rather than unimodal, collaborative, rather than personal, and dialogue‐enabled, rather than unidirectional. To address this challenge, we have developed an approach for designing natural, multimodal, multiuser dialogue‐enabled interfaces to geographic information systems that make use of large‐screen displays and integrated speech–gesture interaction. After outlining our goals and providing a brief overview of relevant literature, we introduce the Dialogue‐Assisted Visual Environment for Geoinformation (DAVE_G). DAVE_G is being developed using a human‐centred systems approach that contextualizes development and assessment in the current practice of potential users. In keeping with this human‐centred approach, we outline a user task analysis and associated scenario development that implementation is designed to support (grounded in the context of emergency response), review our own precursors to the current prototype system and discuss how the current prototype extends upon past work, provide a detailed description of the architecture that underlies the current system, and introduce the approach implemented for enabling mixed‐initiative human–computer dialogue. We conclude with a discussion of goals for future research.
Alan M. MacEachren, Guoray Cai, Rajeev Sharma, Ingmar Rauschert, Isaac Brewer, Levent Bolelli, B. Shaparenko, Sven Fuhrmann
Int. J. Geogr. Inf. Sci.4
2004 Multimodal interface platform for geographical information systems (GeoMIP) in crisis management
abstract
A novel interface system for accessing geospatial data (GeoMIP) has been developed that realizes a user-centered multimodal speech/gesture interface for addressing some of the critical needs in crisis management. In this system we primarily developed vision sensing algorithms, speech integration, multimodality fusion, and rule-based mapping of multimodal user input to GIS database queries. A demo system of this interface has been developed for the Port Authority NJ/NY and is explained here.
Pyush Agrawal, Ingmar Rauschert, Keerati Inochanon, Levent Bolelli, Sven Fuhrmann, Isaac Brewer, Guoray Cai, Alan M. MacEachren, Rajeev Sharma
ICMI2
2004 Multimodal interaction for distributed collaboration
abstract
We demonstrate a same-time different-place collaboration system for managing crisis situations using geospatial information. Our system enables distributed spatial decision-making by providing a multimodal interface to team members. Decision makers in front of large screen displays and/or desktop computers, and emergency responders in the field with tablet PCs can engage in collaborative activities for situation assessment and emergency response.
Levent Bolelli, Guoray Cai, Bita Mortazavi, Ingmar Rauschert, Sven Fuhrmann, Rajeev Sharma, Alan M. MacEachren
ICMI5
2004 Adaptive multimodal recognition of voluntary and involuntary gestures of people with motor disabilities
abstract
No abstract available.
Ingmar Rauschert
ICMI1
2003 Speech-gesture driven multimodal interfaces for crisis management
abstract
Emergency response requires strategic assessment of risks, decisions, and communications that are time critical while requiring teams of individuals to have fast access to large volumes of complex information and technologies that enable tightly coordinated work. The access to this information by crisis management teams in emergency operations centers can be facilitated through various human-computer interfaces. Unfortunately, these interfaces are hard to use, require extensive training, and often impede rather than support teamwork. Dialogue-enabled devices, based on natural, multimodal interfaces, have the potential of making a variety of information technology tools accessible during crisis management. This paper establishes the importance of multimodal interfaces in various aspects of crisis management and explores many issues in realizing successful speech-gesture driven, dialogue-enabled interfaces for crisis management. This paper is organized in five parts. The first part discusses the needs of crisis management that can be potentially met by the development of appropriate interfaces. The second part discusses the issues related to the design and development of multimodal interfaces in the context of crisis management. The third part discusses the state of the art in both the theories and practices involving these human-computer interfaces. In particular, it describes the evolution and implementation details of two representative systems, Crisis Management (XISM) and Dialog Assisted Visual Environment for Geoinformation (DAVE/spl I.bar/G). The fourth part speculates on the short-term and long-term research directions that will help addressing the outstanding challenges in interfaces that support dialogue and collaboration. Finally, the fifth part concludes the paper.
Rajeev Sharma, Mohammed Yeasin, Nils Krahnstoever, Ingmar Rauschert, Guoray Cai, Isaac Brewer, Alan M. MacEachren, Kuntal Sengupta
Proc. IEEE4