Publications

@article{vlasov_gala_2023,

title = {GALA Inspired by Klimt's Art: Text-to-image Processing with Implementation in Interaction and Perception Studies: Library and Case Examples},

author = {A. V. Vlasov},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182461798&partnerID=40&md5=0c3f5f4214a46db51f46f0092495eb2b},

issn = {15548716 (ISSN)},

year  = {2023},

date = {2023-01-01},

journal = {Annual Review of CyberTherapy and Telemedicine},

volume = {21},

pages = {200–205},

abstract = {Objectives: (a) to develop a library with AI generated content (AIGC) based on а combinatorial scheme of prompting for interaction and perception research; (b) to show examples of AIGC implementation. The result is a public library for applied research in the cyber-psychological community (CYPSY). The Generative Art Library Abstractions (GALA) include images (Figures 1-2) based on the text-image model and inspired by the artwork of Gustav Klimt. They can be used for comparative analysis (benchmarking), end-to-end evaluation, and advanced design. This allows experimentation with complex human-computer interaction (HCI) architectures and visual communication systems, and provides creative design support for experimenting. Examples include: interactive perception of positively colored generative images; HCI dialogues using visual language; generated moods in a VR environment; brain-computer interface for HCI. Respectfully, these visualization resources are a valuable example of AIGC for next-generation R&D. Any suggestions from the CYPSY community are welcome. © 2023, Interactive Media Institute. All rights reserved.},

keywords = {AIGC, applied research, art library, Article, Artificial intelligence, benchmarking, dataset, GALA, human, Human computer interaction, Image processing, Klimt, library, life satisfaction, neuropoem, Text-to-image, Virtual Reality, Wellbeing},

pubstate = {published},

tppubtype = {article}

}

@article{augelloExtendingAffectiveCapabilities2022,

title = {Extending Affective Capabilities for Medical Assistive Robots},

author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Gianpaolo Vitale},

doi = {10.1016/j.cogsys.2021.12.004},

issn = {13890417},

year  = {2022},

date = {2022-01-01},

journal = {Cognitive Systems Research},

volume = {73},

pages = {21--25},

abstract = {In this work, we discuss methodologies and implementation choices to enable a humanoid robot to estimate patients' mood and emotions during postoperative home rehabilitation. The approach is modular and it has been implemented into a SoftBank Pepper robotic architecture; however, the approach is general and it can be easily adapted to other robotic platforms. A sample of an interactive session for the detection of the patient's affective state is also reported. textcopyright 2022 Elsevier B.V.},

keywords = {Anthropomorphic Robots, Assistive Robots, Emotion Detection, Facial Expressions, Human computer interaction, Human Robot Interaction, Humanoid Robots, Natural Language Processing, Robotics, Wellbeing},

pubstate = {published},

tppubtype = {article}

}

@article{augello_extending_2022,

title = {Extending affective capabilities for medical assistive robots},

author = {Agnese Augello and Ignazio Infantino and Giovanni Pilato and Gianpaolo Vitale},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123046436&doi=10.1016%2fj.cogsys.2021.12.004&partnerID=40&md5=6e76332f7f95333a9ae2e8f11c054622},

doi = {10.1016/j.cogsys.2021.12.004},

issn = {13890417},

year  = {2022},

date = {2022-01-01},

journal = {Cognitive Systems Research},

volume = {73},

pages = {21–25},

abstract = {In this work, we discuss methodologies and implementation choices to enable a humanoid robot to estimate patients’ mood and emotions during postoperative home rehabilitation. The approach is modular and it has been implemented into a SoftBank Pepper robotic architecture; however, the approach is general and it can be easily adapted to other robotic platforms. A sample of an interactive session for the detection of the patient's affective state is also reported. © 2022 Elsevier B.V.},

keywords = {Anthropomorphic Robots, Assistive Robots, Emotion Detection, Facial Expressions, Human computer interaction, Human Robot Interaction, Humanoid Robots, Natural Language Processing, Robotics, Wellbeing},

pubstate = {published},

tppubtype = {article}

}