Submission deadline: CLOSED
Publication date: April-June 2018
Technology has long been used to augment our physical and cognitive abilities. Heavy machinery enables us lift weights well beyond our own capabilities, reading glasses correct and enhance our vision, and cameras enable us to capture memories for future recall.
Wearable computing pioneered the integration of such systems into our clothing or even our bodies, but ambient computing systems are also increasingly capable of improving our cognitive abilities: a projected user interface might improve our sense of direction or our ability to assemble a complex machine.
Current and next-generation systems promise to augment our senses, voices, motor activities, and even our minds in unprecedented ways. To truly “augment” humans in a seamless way, however, still remains a challenge. How do we control on-body and in-body technology? How can augmented humans better tackle the challenges of smart, IoT-enabled environments? What are the benefits and risks of such systems? And what is the next-generation technology (both in hardware and software) that will enable the seamless integration of these devices with our everyday activities?
The aim of this special issue is to explore new technologies, methodologies, and applications that relate to all aspects of augmenting humans. Contributions may come from diverse fields, including: human-computer interaction; distributed systems; artificial intelligence; dependable computing; psychology and sociology; the Internet of Things; cyber-physical systems; mobile, wearable, and ubiquitous computing; ambient intelligence; architecture and urban planning; and arts and entertainment.
We welcome a wide range of research papers including descriptions of completed systems, experience reports, new insights into specific technologies, novel algorithms, surveys, and vision papers that articulate new challenges for the field.
Relevant topics for this special issue include, but are not limited to, the following:
- Wearable, mobile, pervasive, and networked systems to support human augmentation
- Experience reports on building and using systems for human augmentation
- Surveys relating to pervasive computing support for augmented humans
- Memory augmentation and decision support
- Interactions between augmented humans and the pervasive computing environment, including intelligent assistants and the IoT (for example, smart cities, homes, and cars)
- Human augmentation and artificial intelligence
- Novel human-computer interfaces, such as brain-computer interfaces, muscle interfaces, implanted interfaces, and augmented reality/mixed reality interfaces
- Super-human technologies, involving bionics, biomechanics, or exoskeletons
- Applications to healthcare and wellbeing, safety and security, arts and entertainment, productivity and production, travel and tourism
- Novel hardware (such as sensors, textiles, or devices) for augmenting humans.
- Security and privacy issues when augmenting humans
- Social and policy aspects of augmenting humans
The guest editors invite original and high-quality submissions addressing all aspects of this field, as long as the connection to the focus topic is clear and emphasized. Review or summary articles—for example critical evaluations of the state of the art, or an insightful analysis of established and upcoming technologies—might be accepted if they demonstrate academic rigor and relevance.
SUBMISSION INFORMATION
Submissions should be 4,000 to 6,000 words long and should follow the magazine’s guidelines on style and presentation. For general author guidelines or submission details, see www.computer.org/pervasive/author.htm or pervasive@computer.org.
To submit your article to our online peer-review system, go to Manuscript Central at https://mc.manuscriptcentral.com/pc-cs.
To present works-in-progress directly to the community, visit our Reddit community: www.reddit.com/r/pervasivecomputing.
GUEST EDITORS
- Nigel Davies, University of Lancaster, UK
- Marc Langheinrich, Università della Svizzera italiana (USI), Switzerland
- Pattie Maes, MIT
- Jun Rekimoto, The University of Tokyo / Sony Computer Science Laboratories, Japan
For more information, contact the guest editors at pvc2-2018@computer.org.