[robotics-worldwide] [meetings] CASE2018 - Special Session "Human-centered methodologies for smooth human-machine interaction"

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[robotics-worldwide] [meetings] CASE2018 - Special Session "Human-centered methodologies for smooth human-machine interaction"

Valeria Villani
CASE 2018 - 14th IEEE International Conference on Automation Science and Engineering
August 20-24, 2018, Munich, Germany

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Special session on
*Human-centered methodologies for smooth human-machine interaction*
Submission code: 66y22
Submission deadline: March 15th, 2018

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Modern industrial automatic and robotic production systems are becoming increasingly complex in order to comply with market demands and competitiveness. Thus, workers are requested to be more and more skilled to be able to operate such systems. As a resulting drawback, many difficulties are typically experienced by human operators, since an increasing burden is put on them, to supervise and interact with very complex systems, typically under challenging situational conditions, such as noisy environment, tight time constraints, fear of job loss, and/or psychological pressure due to the presence of supervisors. In the worst cases, some classes of workers, such as the elderly and those with low education or physical or cognitive impairments, are prevented from job positions that require high attentional skills, or, in the case they are granted any of such positions, their responsibilities and duties are very limited.
To invert such a policy, it is needed to reverse the design of complex production systems and adopt a responsible approach based on the anthropocentric design methodology. This consists in the process of ensuring that people’s needs are met, that the resulting system is understandable and usable, that it accomplishes the desired tasks, and that the experience of use is positive and enjoyable. In the context of industrial production, this amounts to reverse the paradigm from the current belief that “the human learns how the machine works” to the future scenario in which “the machine adapts to the human capability” and accommodates to her/his own time and features.
This special session aims at soliciting discussion on how the design of human-machine, and human-robot, systems can be enhanced by explicitly considering human factors in the feedback loop, with the ultimate goal of allowing a smooth interaction, accessible also to low skilled and vulnerable users.
Topics of interest include, but are not limited to:
        • users profiling,
        • measurement of human capabilities,
        • users modelling,
        • computational models of emotion,
        • methodologies for adaptation of user interfaces,
        • affective human-machine/robot interaction,
        • usability testing,
        • social and ethical implications of the introduction of complex interaction systems in industrial environment.

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*Submission*
Manuscripts must be submitted by *March 15, 2018* through the conference submission site on Papercept using the session code 66y22.

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*Organizers*
Valeria Villani, Univ. of Modena and Reggio Emilia, Italy. [hidden email]
Lorenzo Sabattini, Univ. of Modena and Reggio Emilia, Italy. [hidden email]
Hao Ding, ABB Corporate Research Center, Germany. [hidden email]
Kathleen Richardson, De Montfort University, UK. [hidden email]






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Valeria Villani
DISMI - Department of Science and Methods for Engineering
University of Modena and Reggio Emilia
Via G. Amendola 2
42122 Reggio Emilia (IT)
Phone: +39 0522 523533
E-mail: [hidden email]
Web: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.arscontrol.org_team_valeria-2Dvillani_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=Ga8q7HvoaMW61JelKiZUjbBwfOAy85HVXXf_gN_z5TU&s=X0kHmwV-_xtRo91SCsanExMwqs7dBFufZzMla0l_xI0&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.arscontrol.org_team_valeria-2Dvillani_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=Ga8q7HvoaMW61JelKiZUjbBwfOAy85HVXXf_gN_z5TU&s=X0kHmwV-_xtRo91SCsanExMwqs7dBFufZzMla0l_xI0&e=>




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