Recent developments in wearable capture and access technology bring about a fundamental shift in the digital augmentation of reality: in the near future, it will be feasible to continuously record a plethora of personal experiences – from sight and hearing to vital signals – and provide both in-situ and pre-emptive access to related information, past experiences, and social exchange. This has the power to significantly change the way we interact and remember.

The aim of this special issue is to explore technologies related to all aspects of digitally capturing and augmenting reality in order to enhance human cognition. Papers do not need to focus only on image-based systems – we are interested in the application of a wide range of sensor data (e.g. health and fitness information, location feeds or audio recordings) that augments human cognition. Relevant topics for this special issue include, but are not limited to, the following:

• Tools, platforms, and deployments for wearable cognitive assistance systems
• Technologies, theories, and user studies for augmenting human memory through capture and access
• Strategies for the targeted collection of relevant experience streams across a range of sensor modes
• Presentation issues in integrating, correlating, and visualizing captured sensor data and other information sources for both in-situ targeted retrieval and long-term memory augmentation.
• Social implications of digitally enhancing reality
• User studies involving novel capture and access technology
• Psychological implications of providing in-situ access to past memories and active experience-sharing with others
• New business processes and models involving digitally enhanced reality
• Privacy and security issues in digitally enhanced reality systems

The guest editors invite original and high-quality research submissions addressing all aspects of this field, as long as the connection to the focus topic is clear and emphasized. Experience reports, surveys, critical evaluations of the state of the art and insightful analysis of established and up-coming technologies are also welcome.

Special Issue Guest Editors
- Nigel Davies, University of Lancaster, UK
- Marc Langheinrich, Università della Svizzera italiana (USI), CH

Submission Information
Submissions should be 4,000 to 6,000 words long and should follow the magazine's guidelines on style and presentation. All submissions will be single-blind anonymously reviewed in accordance with normal practice for scientific publications. For more information, contact the guest editors at pvc3-2015@computer.org.

To present works-in-progress directly to the community, visit our Reddit community: www.reddit.com/r/pervasivecomputing.

For general author guidelines or submission details: www.computer.org/pervasive/author.htm or pervasive@computer.org. To submit your article directly to our online peer-review system, go to Manuscript Central at https://mc.manuscriptcentral.com/pc-cs.