Human- and Task-Centered Assistance Systems Minitrack
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Contemporary Assistance Systems that support activities in daily and working life environments exist in various forms, such as stationary technology (e.g., smart home, robots), mobile technology (e.g., lifting aids, tablets) and wearable technology (e.g., head mounted displays, exo-skeletons). The primary goal of such systems and technologies is to assist human activities in order to improve life conditions by avoiding physical and psychological degeneration, improving existing human skills and abilities, compensating disabilities and increasing productivity in industrial production.
Whereas there are systems and approaches that aim to support humans by simply overtaking specific tasks (substitution), in recent years, there has been a stronger focus on so-called hybrid systems that merge human skills and abilities with the abilities of mechanical machines and computer devices.
In this sense, the consideration of "human" and "robot" as separate yet interacting systems within the human-robot collaboration approach as well as the hybridization of these systems within the human hybrid robot approach depicts this development. The range of possible interaction between humans and technical systems is constantly growing.
If we want to design Assistance Systems for daily and working life environments that are accepted and used by people, we have to consider human and technical features and their interrelations within one common framework (or as one hybrid system).
Approaches and concepts for person- and task-adapted support systems for applications in daily and working life will be subject of the mini track. Latest research on information acquisition, processing and output as well as human-machine interfaces will be discussed. In this context, issues of the individual and social acceptance of technologies, their adaptability, design, usability and functionality should be considered.
The minitrack addresses empirical and conceptual research as well as industry cases particularly welcoming interdisciplinary approaches. The aim of this mini track is to provide a forum for researchers to discuss a broad range of topics that include but are not limited to:
- Approaches for individual and task adequate assistance systems
- Interfaces between user and assistance system
- User adapted system configuration and design
- Interaction strategies
- Safety strategies
- Assistance Systems with integrated industry 4.0 principles
- Strategies for acceptance improvement
- Technical, economical, ethical, gerontological and social impacts of assistance system development and usage
- Intelligent and learning algorithms
- Modeling and simulation of hybrid human-machine systems
- Anthropomorphism approaches
- Behavioral, neurophysiological, and design aspects of human-machine interaction
- Analysis, design, development and multi criterial evaluation of hybrid human-machine systems
- Guidelines and standards
Minitrack Co-Chairs:
Tobias Redlich (Primary Contact)
Helmut Schmidt University
Email: Tobias.Redlich@hsu-hh.de
Robert Weidner
Helmut Schmidt University
Email: Robert.Weidner@hsu-hh.de
Jens P. Wulfsberg
Helmut Schmidt University
Email: mwulf@hsu-hh.de
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Recent Submissions
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ItemSituational Awareness and Systems for Driver-Assistance( 2017-01-04)Low level of driver’s situation awareness (SA) and high level of cognitive load are considered as reasons of vehicle accidents. Cognitive load is higher when driving abroad because of unfamiliarity with differences in international traffic rules or vehicle configurations. This paper aims to objectively assess the driver’s SA when performing lane changing tasks under unfamiliar driving conditions. We conducted an experiment using a right-hand driving simulator and a left-hand simulated traffic scenario to collect the temporal information about SA such as time, location, and speed as well as lane changing errors. Overall, the participants show low SA in curved roads and road networks, but high SA in straight roads. The results state that speed does not affect the lane changing performance on straight roads and road networks but significantly affects the lane changing performance on curved roads. These findings can be used to design a SA system for driver-assistance in unfamiliar driving conditions considering drivers’ cognitive load.
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ItemShopWithMe!: Collaborative Information Searching and Shopping for Online Retail( 2017-01-04)We present research on the development and evaluation of a collaborative search and shopping system for online retail tasks based on domain specific product requirements. We describe the design rationale for the system development and inclusion of collaborative features, including search, chat, clip-board, product suggestions, shared views, and shopping cart with a focus on how these features are used for collaborative online retail shopping and information searching and sharing. Our research goal is to understand whether collaborative search tools are useful in supporting actual collaborative online retail shopping tasks for experience goods. We describe system development and report findings from preliminary user studies of the system, using mixed methods analysis, with an emphasis on the qualitative findings. The findings highlight that systems for the online shopping domain can support searching, shared views, and group communication to aid in collaborative shopping for experience goods by improving information sharing among group members. Implications are that ecommerce systems, websites, and web apps should support collaboration based on product types.
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ItemA Context-Aware Mobile Solution for Assisting Tourists in a Smart Environment( 2017-01-04)The cultural heritage of the italian territory is an impressive breadth of resources, unfortunately still little known today. Such a cultural heritage should be valued for the purpose is to better understand the Italian citizens their cultural identity, is to make known to the citizens of other nations the history of the place, with its story and its characters, and the life of the inhabitants, with their own traditions and customs. \ \ In this paper, it is introduced an adaptive Context-Aware app able to collect not-structured data, belonging to heterogeneous sources and develop tailored recommendations for the user, in order to support a tourist inside a town. The solution found takes advantage of information technologies, like Internet of Thing and Internet of Services and the objective is reached through the use of a system of description of the context through a graphical formalism named Context Dimension Tree. \ \ The system described was implemented in the city of Salerno in Italy and the results of a questionnaire distributed to the users show great appreciation.
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