Töötleva tööstuse arendusjuhtidele suunatud ingliskeelses seminaris käsitletakse inimese ja masina interaktsiooni kaasaegseid mõõtmisvahendeid, mille abil on võimalik suurendada seadmete opereerimise tõhusust ja ohutust.

Seminari viivad läbi Tallinna Ülikooli Digitehnoloogiate Instituudi teadlased professor David Lamasi juhtimisel.

This seminar addresses modern means of human interaction with machines. We’ll discuss the use of physiological sensors for safer and more efficient machine operation and advanced opportunities for user experience evaluation in designated labs of Tallinn University School of Digital Technologies.

Human-machine interactions in industry aim for efficiency and safety. Human-operated systems have two types of concerns—human and machine. The current discussion focuses on the human factor. What exactly is the human factor? In what terms are humans better (or worse) than machines? How can human factor be a measure of the quality of a machine's operation, e.g., its influence on the efficiency and safety of a system? 

Modern means of human interaction with machines, such as physiological sensors, help to keep users motivated and safe. Physiological signals, collected in real-time, can be used to track a number of human feelings and estimate their states of mind and body. Fatigue, stress and attentional capabilities are just some relevant aspects of the human factor. The discussion continues about tracking users' (machine operators) fatigue and stress as well as keeping them focused to maintain optimal workflow while operating machinery.

TLU/SDT has designated laboratories for human-computer interaction studies. These labs are equipped for running user tests with human participants in lab conditions as well as in real-life situations. Our equipment is not limited to testing computer interactions (computer screen interfaces); we can test a wide range of human-operated systems from smart home devices to vehicles in traffic. We do like to call such studies a user experience (UX) evaluation, however, the outcome often points to human factors, for example issues related to safety and efficiency.

Aim of the UX evaluation is to collect evidence to: 1) support the design of more efficient systems (formative evaluation), but also to 2) plan the procurement of such systems (summative evaluation). Further we'd like to discuss more advanced methods and tools for evaluating UX used in our labs.