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The intersection of computers and psychology is a crucial point for innovation and user-centered design in technology. It’s also a place where unintentional harms to people happen. That’s why we need psychologists to play a bigger role in tech development–particularly given that many technology companies change human behavior at scale and profit from behavioral changes, and generally embrace scientific innovation.
In the past data collection in psychological research was based on two basic methods: lab research and surveys. The first focuses on a particular aspect in a controlled setting, whereas the latter focuses on broader behavior by using self-reporting questionnaires or (potentially) structured interviews. Both have inherent limitations.
Computers, however capture and analyze huge amounts of data at a high speed in ways that conventional methods are unable to. This is why they are powerful tools for psychologists which opens up a new field of investigation. For example, a new field called Psycho(neuro)informatics is emerging that merges psychology and computer science to develop models of human brains and intelligence. This requires experts from a team of psychologists with domain knowledge, and computer scientists with the knowledge to design large-scale tracking systems and manage and analyze the data that results from it.
There was a lack of collaboration in the past. For instance, Google directors have been more likely to be interested in computer and computational science (29% studied it), than psychology (less than 2percent). This is likely to have led to psychologists being under-represented as leaders in tech companies, resulting in that technology products often fail to take psychological principles into account.