Special Issue "Sensors for Behavioral Science—Social, Affective, and Cognitive Science Perspectives"
Deadline for manuscript submissions: 31 August 2020.
Interests: cognitive science; cognitive neuroscience; psychopathology; affective computing; neuroeconomics; cognitive computational neuroscience; computational psychiatry
Special Issues and Collections in MDPI journals
Interests: machine learning; signal processing; affective computing; ambulatory monitoring; behavioral signal processing; speech; physiology
Sensor technologies have changed the landscape of behavioral science. Traditional measures of behavior, response time, and accuracy have been supplemented with genetic, physiological, and activity-based indices taken from high-end imaging equipment and off-the-shelf wearable devices. This Special Issue focuses on research, development, and applications of sensors as analytical tools for social, affective, and cognitive science, and cognitive neuroscience. The use of sensors in behavioral science is diverse, ranging from medical-level brain sensors (e.g., fMRI, PET, EEG, fNIR, EDA) to off-the-shelf consumer-grade wearables (Kinect, MUSE, wearables, smartphones, tablets, smart speakers, VR, AR, pupillometry, and eye trackers); it includes creative applications of IoT devices (e.g., Arduino, Raspberry Pi) in the arena of ubiquitous and ambient computing. This Special Issue aims to organize these far-reaching applications of sensors in behavioral science across a potential range of coherent themes, including (1) experimental design and data acquisition; (2) hypothesis-driven research melded with sensor devices; (3) data cleaning and processing; and (4) sensor data analysis.
The topical areas include psychopathology, neuroeconomics, decision making, biofeedback, cognitive control, emotion regulation, interpersonal communication, personality, temperament, cognitive computational neuroscience, computational psychiatry, mental health intervention, teaching, and learning. Innovative and creative use of sensors, theory-driven data analysis, data fusion techniques, Bayesian cognitive modeling, machine learning, probabilistic programming, neural network, and reinforcement learning are also welcome. The main motive is to apply sensor technologies to advance our understanding of human behavior as manifested in emotion, social interaction, cognition, and mental health.
We would like to invite you to participate by submitting original research papers, review articles, short commentaries, theoretical inquiries, and/or tutorials about the use of sensors in human behavior understanding.
Prof. Dr. Takashi Yamauchi
Prof. Dr. Theodora Chaspari
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.
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 2000 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.
- cognitive science
- cognitive neuroscience
- peripheral physiology
- ambulatory monitoring
- data quality concerns and mitigation