Illusion of understanding: why chatbots seem attentive to us
- Users often feel that chatbots understand them.
- This feeling is related to the spotlight effect.
- Algorithms only process text without emotional perception.
- A critical approach to AI reduces the risk of overestimating its capabilities.
When a person writes a message to a chatbot, they often get the feeling that the interlocutor 'sees' their mood, picks up on emotions, and responds with understanding. This impression arises even in the case of simple text models that lack the ability for empathy or the analysis of non-verbal signals.
Research shows that users tend to attribute human communication qualities to machine algorithms. They note that the responses 'sound' friendly, 'feel' their requests, and 'adapt' to their mood. At the same time, most modern chatbots operate solely based on statistical patterns, without access to the internal states of the interlocutor.
Spotlight effect: a psychological mechanism
This perception is explained by the spotlight effect — a cognitive distortion first described in the late 1990s by psychologists Thomas Gilovich and his colleagues. The essence of the effect is that people overestimate the extent to which their thoughts, feelings, and actions are noticeable to others. We believe that our internal experiences are in the 'spotlight', while in reality, they remain hidden.
In the context of communication with AI, the effect manifests itself in that the user automatically transfers their familiar social communication scenario onto the machine. We perceive the bot's responses as reactions to our emotions, although in reality, the algorithm merely matches the input text with a vast array of examples.
Experimental data supports this hypothesis. In one study, participants were asked to engage in a dialogue with a program they believed to be a 'person' and with a program they knew to be a bot. The assessment of the level of understanding turned out to be almost identical, indicating a strong influence of subjective expectations.
The consequences of such an illusion can be twofold. On one hand, the feeling of 'understanding' increases comfort and willingness to use services, which accelerates their adoption. On the other hand, overestimating the capabilities of AI raises the risk of misplaced trust, especially in areas where accuracy and accountability are required, such as in medicine or legal consulting.
Experts advise maintaining a critical approach to interacting with chatbots: checking facts, clarifying sources of information, and remembering that the algorithm does not possess consciousness. Transparency in the operation of systems, openly informing users about their limitations, and educating the public on digital literacy principles help reduce the influence of the spotlight effect.
Thus, the feeling that the chatbot 'understands' us is a result of a well-known psychological distortion, rather than evidence of true empathetic perception from machines. Awareness of this feature helps to use artificial intelligence more consciously and avoid unnecessary mistakes.
Source: N+1
