Special Issue on Designing Human Interactions for Cyber-Physical Systems and the Internet of Things
摘要截稿:
全文截稿: 2018-06-15
影响因子: 3.163
期刊难度:
CCF分类: A类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:控制论 - 2区
• 小类 : 人体工程学 - 2区
• 小类 : 心理学:综合 - 2区
Overview
The Internet of Things (IoT), comprising the large diversity of interactive devices as well as embedded sensors, is creating a seamless integration between physical objects and the digital world. Humans are able to monitor and control physical processes while interacting with very large data sets collected via sensors. In cyber-physical systems, software components and physical objects are deeply intertwined, each operating on different spatial and temporal scales, exhibiting multiple behavioral modalities and interacting both with each other and with users. They can interact with data and access services using a myriad of ways that change with their context of use.
Applications of cyber-physical systems include smart grids, global environmental and disaster monitoring, medical and homeland security systems as well as autonomous transportation and automatic pilot avionics. These systems are being facilitated by emerging technologies such as the OGC’s Sensor Web Enablement (SWE), which is a standard for making sensors and sensor data repositories accessible via the Web.
As the infrastructure for communications improves, attention can turn to the innovative interaction methods that are needed to interact with networked objects such as cars, or in the near future why not also with trees, plants, forests and animals? What would this dialogue look like and how would it take place? However, human-cyber-physical interactions are very difficult to model and fundamentally different from human-computer interaction models developed so far. Designing and validating such interactions is particularly challenging.
This special issue articulates three main design challenges with humans in the loop: (i) the need for a comprehensive understanding of the complete spectrum of the types of interaction modalities, (ii) the need for extensions to system identification or other techniques to derive design models from human experiences, and (iii) most importantly, determining how to incorporate such models into the HCI design methodologies, but also the engineering of the underlying interactions between the physical and software components.
Furthermore, traditional HCI design usually deals with the small picture only - the design of the user interfaces and the human-digital artifact interaction. They have shown limited capabilities in coping with the design of the “big picture” of multi-platforms and multi-devices, the way interactive service interacts with other ones and the way they can be combined and used via/by other services. There is an urgent need to develop a holistic, multi-disciplinary and multi-perspective approach that focuses on how to engineer interactions in cyber-physical systems with this “big picture” in mind. The big picture already exists, comprising the hundreds of thousands of services - most often data-intensive ones - available on the Web/cloud. Such services are now interacting with a wide range physical objects in a new eco-system that is characterized by four types of interactions: Digital-physical components interaction, Human-digital/physical components interaction, human-digital/physical-other human as well as the underlying human-data interaction.
The design of these forms of interactions requires:
- Broadening the vision of interactions beyond the traditional human-computer interaction, including how other stakeholders may interact and collaborate with physical objects
- Connecting different methods to design smart interaction services and user interfaces as well as the holistic view of the entire human-cyber-physical system interactions
- Building a tradeoff between the attributes that quantify the user experiences and those measuring the security and privacy. Most often these factors are seen as obstacles in interaction design
- Providing a conceptual formulation of a cyber-physical system (CPS) as a socio-technical human-data interaction system.
The special issue focusses on three main design challenges for the human-cyber-physical interactions: (i) the need for a comprehensive understanding of the complete spectrum of the types of human-in-the-loop cyber-physical system behaviors including the interactions between software components and physical objects, (ii) the need for extensions to system identification or other techniques to derive models of human behaviors, and (iii) most importantly, determining how to incorporate human behavior models into the formal methodology of feedback control.
We seek original unpublished research papers and case studies describing theoretical and practical HCI aspects of cyber-physical systems. The following topics and related ones are within the scope of this special issue:
- HCI design theories and methods and how they apply to cyber-physical systems
- Interaction with networked physical objects with embedded sensors
- Human-data interaction with IoT objects; smart city apps and services; machine-learning algorithms
- Innovative approaches to smart city services design in the context of IoT and cyber-physical systems
- User research and empirical studies on interactions with cyber-physical systems
- Examples of cyber-physical systems and smart services from automotive systems, aerospace systems, digital health information systems, manufacturing and industrial control systems (e.g. smart factory, Industry 4.0), farming and agriculture, energy systems, playable cities
- Novel interaction technology and models for cyber-physical systems
- Interactions and visualization of data in the physical space (e.g. data physicalization)
- Ethical, privacy and usability concerns around interactions between humans and cyber-physical systems