Today we have had the kick-off meeting of HUManAID (HUMan-centered Assisted Intelligent Dynamic systems). The project is articulated around five multidisciplinary scenarios which are diverse in scope, needs, devices and processing needs: (i) self–learning in autonomous driving systems, (ii) understanding the student cognitive and emotional needs within intelligent tutoring systems, (iii) sensing online collaborative learning, (iv) improving psychomotor performance for motor skills acquisition, active aging and rehabilitation, and (v) training on the prevention of occupational hazards at work with industrial machinery. Previous collaborations between the project partners have served to establish productive workflows that will contribute to this project’s success.
Five objectives (each deployed in a work package) have been defined to advance in the global objective of the project, that is, an intelligent and autonomous collaboration between users and the system enables a sustainable and trustworthy interaction over time that improves users’ performance and satisfaction as well as the level of autonomous functioning and adequacy of the system.
We have reviewed the objectives of the project which are:
- O1. Multimodal data capture in diverse contexts where user action is essential to tailor the response of the system in a non–intrusive way for the user while ensuring the quality of the results and the scalability of the experiments.
- O2. Creation of multimodal models adapted to each person’s needs–tasks–context with the ability to generalize to unseen users using supervised, semi–supervised or unsupervised approaches to cope with the labelling bottleneck.
- O3. Application of the developments in real environments of formal user–system interaction, ensuring the adequacy and adaptation of the models to changes in scenarios and over time, thus increasing the range of actions in which the system, in this context, respond autonomously.
- O4. Design of indicators that facilitate in various contexts the generation of a responsive framework to the person’s state in a comprehensive way, thus considering their mental and operational factors by considering behavioural and mental–affective response variables.
- O5. Address the impact and ethical and socio–economic implications of the development of the hypotheses common to the various contexts, specified in the above–mentioned framework, which allow solutions to be scaled up to various scenarios not initially included and provide valuable lessons learnt to the different bodies, such as industry, government, institutions, and human users.
We’ll keep posting the outcomes of this project. Stay tuned!