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Cues

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Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues.

Journal of biomedical optics
SIGNIFICANCE: Melanoma is a deadly cancer that physicians struggle to diagnose early because they lack the knowledge to differentiate benign from malignant lesions. Deep machine learning approaches to image analysis offer promise but lack the transpa...

AI Therapist Realizing Expert Verbal Cues for Effective Robot-Assisted Gait Training.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Repetitive and specific verbal cues by a therapist are essential in aiding a patient's motivation and improving the motor learning process. The verbal cues comprise various expressions, sentences, volumes, and timings, depending on the therapist's pr...

The Space Between: Nature and Machine Heuristics in Evaluations of Organisms, Cyborgs, and Robots.

Cyberpsychology, behavior and social networking
Cues delivered by agents are known to trigger mental shortcuts associated with ontological category or the kind of thing an agent is. Two such heuristics are key to considering organic and machine agents, and result in biased evaluations: the machine...

Artificial intelligence enabled preliminary diagnosis for COVID-19 from voice cues and questionnaires.

The Journal of the Acoustical Society of America
The COVID-19 outbreak was announced as a global pandemic by the World Health Organization in March 2020 and has affected a growing number of people in the past few months. In this context, advanced artificial intelligence techniques are brought to th...

Algorithmic and human prediction of success in human collaboration from visual features.

Scientific reports
As groups are increasingly taking over individual experts in many tasks, it is ever more important to understand the determinants of group success. In this paper, we study the patterns of group success in Escape The Room, a physical adventure game in...

Unveiling social distancing mechanisms via a fish-robot hybrid interaction.

Biological cybernetics
Pathogen transmission is a major limit of social species. Social distancing, a behavioural-based response to diseases, has been regularly reported in nature. However, the identification of distinctive stimuli associated with an infectious disease rep...

Image-level supervised segmentation for human organs with confidence cues.

Physics in medicine and biology
Image segmentation for human organs is an important task for the diagnosis and treatment of diseases. Current deep learning-based methods are fully supervised and need pixel-level labels. Since the medical images are highly specialized and complex, t...

Eye contact during joint attention with a humanoid robot modulates oscillatory brain activity.

Social cognitive and affective neuroscience
Eye contact established by a human partner has been shown to affect various cognitive processes of the receiver. However, little is known about humans' responses to eye contact established by a humanoid robot. Here, we aimed at examining humans' osci...

A deep-learning framework for human perception of abstract art composition.

Journal of vision
Artistic composition (the structural organization of pictorial elements) is often characterized by some basic rules and heuristics, but art history does not offer quantitative tools for segmenting individual elements, measuring their interactions and...