Biometric Data Harvesting in Human Behaviours Scope

What is Biometric Data Harvesting?

Biometric data harvesting (BDH) is a technique that covers the processes of collecting data consisting of people’s psycho/physiological responses to a certain stimulus with biometric tools and obtaining mature mixed data as a result of supporting these data with traditional methods such as questionnaires and interviews. The data obtained with BDH are converted into numerical and/or visual outputs by means of various software and enable to reach meaningful information. With qualitative techniques such as retrospective interviews and focus group interviews, it is possible to go down to the source of the psycho/physiological responses obtained as a result of BDH and to verify and mature the biometric data.

Traditional Methods + Biometrics

The inclusion of personal computers in daily life has led to the emergence of a new form of interaction called human computer interaction (HCI). The rapid transformation in technology has made the concept of HCI even more important. Academic studies to understand human behavior with HCI are generally carried out with traditional data collection tools such as questionnaires, focus groups and interviews. However, the inconsistency between the attitudes and behaviors of the participants causes debates about the use of traditional methods in human behavior research. At this point, biometric data tools, which take their source from the real physiological reactions of humans, come to the fore with their reliability. In addition, the fact that many human behaviors occur at the unconscious level reveals the importance of biometric methods that can measure the unconscious psycho/physiological reactions of individuals.

It is thought that remote biometric data harvesting will provide great convenience to cross cultural studies where participants from all over the world can be included cost-effectively. Eye tracking within the FACS technique provides an integrated method solution for web-based research. The combined use of GSR, HR and FACS techniques for biometric measurements and their support with traditional methods (retrospective interviews and questionnaires, etc.) are also recommended for future studies. It has been suggested that studies can be conducted on biometric data harvesting for areas such as brand, usability, customer/user/consumer/player experience, e-sports.

Behiç Alp Aytekin’s presentation at the International Accessibility Congress

Behiç Alp Aytekin gave information about biometric methods and AMTLAB, which he founded within Aydın Adnan Menderes University, at the International Accessibility Congress. At the congress, where AYTEKIN had the chance to talk about the opportunities and projects that AMTLAB has, he expressed the work he plans to do with his lab team in the last period.

AYTEKIN, who is a faculty member of the Visual Communication Design Department of the Faculty of Communication, explained that it is possible to use biometric methods in many different disciplines such as marketing, health, e-sports, and public relations apart from the communication design department. AYTEKIN, who plans to achieve many successes with his team, underlined that they act as a bridge between the university and the private sector and that they want to transfer academic knowledge and practices to the sector in the best way.

AYTEKIN stated that he intends to provide optimization studies in many areas such as brand reputation, product and package design, e-commerce site interface, e-sports player performance development, and user experience with biometric methods.