Several limitations and biases can arise in HCI experiments, impacting the validity and reliability of research findings. Common issues include selection bias, where participants may not represent the target user population accurately, leading to skewed results. To address this, researchers can use random sampling techniques and ensure diverse participant recruitment to enhance the generalizability of findings. Another challenge is experimenter bias, where researchers' expectations or behavior influence participant responses. Researchers can mitigate this by implementing double-blind study designs and using standardized protocols to minimize subjective influences. Additionally, social desirability bias, where participants provide socially acceptable responses, can be addressed by ensuring anonymity and confidentiality in data collection.