"No problem can be solved from
the same level of consciousness that created it."
--- Albert Einstein



 

VR facilities of MBLab.

 

Philosophy of mind, attention, perception, and social behavior, judgment and decision making, consciousness, and cognitive modeling are the leading research concentration areas of Mind & Behavior Lab. In addition to the main psychological themes of cognitive modeling, artificial intelligence, artificial general intelligence, and human-computer interaction are also the key concepts that have been planned to be carried out. We are very excited to work together to understand how the mind works.

 

Please note that team members' previous projects on different topics are not mentioned here. This page will summarize projects that are carried out within the MBLab. In MBLab, besides standard experimental apparatuses such as both Mac and Windows-based computers, helpful software to design and run experiments, we also have a VR system and a sound-proof room.

 

Project #001 | What it is Like to Be a Robot?
[in progress]

How and why we define consciousness as it is has been highly dependent on the way we experience consciousness ourselves. Even though there are many theories of consciousness, the simple definition of consciousness may illuminate how we understand it: Consciousness is the internal and external awareness of the world (“Consciousness,” n.d.). However, is awareness as it is enough to deem something conscious, or are there features of consciousness which organisms must possess to deem them as conscious beings?

 

Project #002 | The Framing Effect and COVID-19 Pandemic
[submitted]
Asian disease is a popular paradigm in risk research, however, how using different disease types would affect the risk-taking behavior of the participants remains inconclusive. Moreover, since COVID-19 pandemic is a real-world threat with unknown parameters causing the future to be uncertain, we have investigated whether (1) the names and the effects of different disease types would influence risk-taking behavior; and whether (2) different disease origins would cause higher risk-taking while taking intolerance to uncertainty as a moderator, with two studies using Asian disease paradigm.

 

Project #003 | A New Human-Robot Interaction Scale
[%50 completed | will be presented in SP Congress]
Anthropomorphism can be summarized as attributing human characteristics, emotions, intentions and attitudes to non-human beings. The current study plans to create a scale by combining and re-evaluating 3 scales that are frequently used in related studies. These scales respectively are Goodspeed Scale (Bartneck et al., 2009), RoSAS (Carpinella et al., 2017) and HRIES (Spatola et al., 2021). With this newly created scale, it is aimed to make Human-Robot Interaction and similar studies more widespread.

 

Project #004 | Homo Moralis: Understanding the Judgement & DM Process of Moral Behavior
[in progress]
What moral behavior is has been the focus of many fields such as philosophy, psychology, economics, and anthropology for centuries. It is crucial for behavioral sciences to comprehend the psychological bases of moral judgment and decision-making given that moral thinkings influence many aspects of daily decision-making (Bartels et al., 2015). This study will investigate i) how moral judgments are formed, ii) determinants of judgments of moral and immoral acts iii)moral decision-making strategies from the social psychology perspective.

 

Project #005 | Understanding the DM Process of Consumer Behavior within the Framework of Sustainability

[in progress]
The importance of investigating the profound and often undesirable effects of consumerism and the culture that surrounds it, both on the individual lives of people and on society as a whole and on the planet, is demonstrated (Kasser, 2003). This study within-depth analysis of consumerism, it will be aimed to investigate the details of the decision-making process of individuals and the conditions in which consumption behavior occurs less or does not occur.

 

Project #006 | Children and Robots Tell the Truth: Investigation the Elaboration Likelihood Model's Elements in terms of Robot-Human Interaction

[in progress]

How persuasive and credible might people find the message of a non-human social entity? This study is underway to understand the attitudes of individuals towards different types of robots and the sense of trust they feel towards the transmitter agent. The study aims to continue an innovative study by putting the Elaboration Likelihood Model (ELM) proposed by Petty & Cacioppo (1980) in the center.