Call for Contributions

HCI researchers and practitioners are invited to suggest chapters on the following suggested (but not limited) topics and questions:

  1. Applying Technology to Human Perception, Cognition, and Memory
    • How can technology-augmented recall be used to re-enforce or attenuate memories?
      • Cued Recall
      • Recall Induced Forgetting (RIF)
    • How can we use real-life recordings of physiological data for augmenting our mind and improving our lives?
      • Increase focus, performance, and productivity
      • Inform decision-making
      • Behavioural change
  2. Digitization of Memories through Lifelogging and Activity Tracking
    • How can we use lifelogging for explicitly or implicitly record and distill memories in electronic format?
      • Capture modality (manual vs. automatic vs. event-driven)
      • Novel capture techniques and devices (from SenseCam to Google Clip and beyond)
      • Challenges (and failures) of commercialization efforts, such as Narrative Clip
    • How do signals gathered from ubiquitous sensing devices relate to cognitive processes?
      • Circadian rhythms
      • Electroencephalography (EEG)
      • Electromyography (EMG)
    • What are important activities to focus on?
      • Fatigue and alertness detection
      • Tracking cognitive workload
  3. Information Retrieval, Processing, and Consolidation of Memory-Relevant Data Sources
    • Which meaningful data sources can we draw from and consolidate in order to create meaningful daily summaries?
      • Content (Pictures, Video etc.)
      • Context (Location, Time, Activity etc.)
      • Speech-to-text
    • How can we use adaptive algorithms to create such automated summaries compiled from lifelogging footage?
      • LDA Topic summarization
      • Feature extraction
      • Machine vision
    • In which ways can these summaries be presented so that they support long-term memory?
      • Lifelogging User Interfaces (LUIs)
      • Design Principles for novel interfaces
  4. Novel Learning Technologies and Interfaces to Facilitate Long-term Memory
    • How can feedback through ambient large displays and personal mobile devices aid memory acquisition, retention, and attenuation?
      • Ubiquitous cued recall
      • Opportunistic cue display (context change detection)
    • How can we design technologies to support learning in versatile environments beyond the classroom?
      • Everyday-life settings (museum, workshop, remotely etc.)
      • Micro-learning tasks (on-the-go)
      • Pervasive learning
  5. Privacy and Security
    • What are risks, ethical and societal implications of technology-augmented perception and cognition?
      • Social acceptance
      • Sharing information about cognitive processes
      • Memory sharing, theft, manipulation, and inheritance
    • How can we democratize our perception and cognition augmenting approaches for mitigating inequalities?
      • The technology age-gap
      • The economical gap
      • DIY movement

Submitting your Chapter:

For contributing to this edited book, please send a one-page abstract (~500 words) of your chapter together with the authors' names and affiliations, and the email of the corresponding author to: springer@tilmanification.com. Submissions should contain some previously unpublished elements and should not be under consideration for publication elsewhere. The deadline for abstract submissions is 01.09.2018 but early submissions are encouraged. 

Important Dates:

Editors

Tilman Dingler is a researcher and technologist interested in cognitive augmentations through Pervasive Computing to improve information processing, memory, and decision making. He is a Research Fellow and Associate Lecturer at the University of Melbourne.

Evangelos Niforatos holds a Ph.D. degree on Human Memory Augmentation with Context from Università della Svizzera italiana (USI), Switzerland. He is currently working as an HCI scientist on extending human capacities beyond the humanly possible in the advanced R&D sector of Thalmic Labs in Kitchener, Canada.