Unconscious Computing through Emerging Wearable Systems

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: closed (26 February 2021) | Viewed by 3455

Special Issue Editor


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Guest Editor
Department of Computer Science and Media Technology, Malmoe University, Malmö, Sweden
Interests: Human-Computer Interaction; Wearable Computers; Augmented Reality; Persuasive Technology; Peripheral Interaction; Multimodal Interaction

Special Issue Information

Dear Colleagues,

What if future wearable systems would blend information and attentional cues into the perceived surrounding environment in a barely noticeable way, so as to not disturb ongoing thoughts and actions, yet influencing everyday microdecisions of the individual (or group)? This is both a scary and intriguing vision, and emerging wearable technologies are pointing in this direction: personal digital systems designed to communicate to unconscious cognitive processes, thus bypassing reflective thought, with the intention to trigger behavioral change in short and/or long-term. Ultimately, such systems would have the power to alter the way we think, act, and perceive the world like no other digital systems have before, despite and because of doing it all “in the background”.

In this Special Issue, we want gather as many perspectives as possible on this class of emerging persuasive systems, including grand visions, limited prototype experiments, and (critical) theory development.

Example application areas: health and well-being, climate change, learning/knowledge transfer, crisis/disaster management.

Key areas of this Special Issue include but are not limited to:

methods and models for unconscious human–computer interaction (implicit input/output, peripheral interaction, ambient displays, mindless computing, deceptive user interfaces, subtle gaze direction, persuasive technologies); psychology (perception, cognition, priming, storytelling, illusionism); wearable sensing/actuation (biometric sensor approaches, eye tracking, head-mounted displays); context-aware systems (3D environment sensing and modeling, machine learning); philosophy (ethics and IT); law; marketing (nudging); social science.

Prof. Dr. Thomas Pederson
Guest Editor

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Keywords

  • Unconscious Human-Computer Interaction
  • Persuasive Technologies
  • Context-Aware Systems
  • Augmented Reality
  • Subtle Gaze Direction
  • Peripheral Interaction
  • Mindless Computing
  • Perception
  • Cognition
  • Ethics
  • IT

Published Papers (1 paper)

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Research

12 pages, 5415 KiB  
Article
Facilitating Workers’ Task Proficiency with Subtle Decay of Contextual AR-Based Assistance Derived from Unconscious Memory Structures
by Alexander Neumann, Benjamin Strenge, Lars Schalkwijk, Kai Essig and Thomas Schack
Information 2021, 12(1), 17; https://0-doi-org.brum.beds.ac.uk/10.3390/info12010017 - 04 Jan 2021
Cited by 2 | Viewed by 2696
Abstract
Contemporary assistance systems support a broad variety of tasks. When they provide information or instruction, the way they do it has an implicit and often not directly graspable impact on the user. System design often forces static roles onto the user, which can [...] Read more.
Contemporary assistance systems support a broad variety of tasks. When they provide information or instruction, the way they do it has an implicit and often not directly graspable impact on the user. System design often forces static roles onto the user, which can have negative side effects when system errors occur or unique and previously unknown situations need to be tackled. We propose an adjustable augmented reality-based assistance infrastructure that adapts to the user’s individual cognitive task proficiency and dynamically reduces its active intervention in a subtle, not consciously noticeable way over time to spare attentional resources and facilitate independent task execution. We also introduce multi-modal mechanisms to provide context-sensitive assistance and argue why system architectures that provide explainability of concealed automated processes can improve user trust and acceptance. Full article
(This article belongs to the Special Issue Unconscious Computing through Emerging Wearable Systems)
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