{'fraction_non_alphanumeric': 0.014925373134328358, 'fraction_numerical': 0.008291873963515755, 'mean_word_length': 5.668508287292818, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Measuring and Testing Elderly People's Understanding of Internet Products APP Interface Design with Event‑Related Potentials

As more and more elderly people begin to accept and use Internet product app, the importance of interface icon design is becoming increasingly prominent. The aesthetic feeling and logic of interface icons will seriously affect the performance and experience of user information retrieval, especially for the elderly. Accurately understanding the semantics of interface icons is a part of efficient information retrieval. Questionnaires and behavioral tests are commonly used to measure icon understanding. However, biometric indicators have also been developed to measure icon understanding. The neural indexes of interface icon understanding were studied by measuring event-related potentials (ERPs). The stimulus 1-stimulus 2 paradigm was adopted in this study. 60 participants were divided into two groups and carried out icon recognition experiments independently in the laboratory. This study shows that N300 and N400 are effective neural indicators to evaluate interface icon understanding and can be used to predict interface icon understanding and behavior in the elderly.