Vision Science and Technology in Human Computer Interaction Systems

Dear Colleagues,

Vision is the predominant human sense, in terms of accuracy and reliability. Through it we extract contactless information from the outer world, we build cognitive models, we develop spatial relationships, we learn situations, and we even exploit our eyes to communicate intentions or goals with our interaction counterparts in shared workspaces. On the artificial side, theoretical and computational advances in vision technology have reached levels of reliability, such as to enable fast and efficient human–machine interactions for natural and intuitive bidirectional communications. Current interaction systems have greatly benefitted from the inclusion of advanced sensing and computing capabilities that are adapted to how humans perceive and interact with the real world. This has challenged the traditional device-centric view of facilitating human–computer interaction by overcoming the traditional concepts of input and output. HMI has now reached a level of maturity to go even one step further: to extend the boundaries of human–machine engagement from the focus of attention to the periphery of our senses, fulfilling the true interaction potential in a shared space.

The goal of this Special Issue is to collect contributions that demonstrate how evidence from vision science coupled with vision-based technology can extend, adapt, and smooth users’ experience of HCI (e.g., by including multiuser or social interaction, covert attention, and prediction).

Contributions on real-world applications, novel and nonconventional vision sensors, and HCI based on human perception models are encouraged.

Topics relevant to this Special Issue include, but are not limited to, the following:

• RGB-D cameras, TOF systems.
• Nonconventional vision sensors, such as event-based cameras.
• Virtual and augmented physical reality.
• Algorithms and techniques for scene as well as action understanding, in addition to situation awareness.
• Gesture recognition.
• Ambient intelligence.
• Emotion detection and simulation.
• Models of human perception.
• Anticipatory user interfaces based on human models.
• Affective and social signaling.
• Human–technology symbiosis.

Dr. Silvio P. Sabatini
Dr. Andrea Canessa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.