{'fraction_non_alphanumeric': 0.018065887353878853, 'fraction_numerical': 0.0, 'mean_word_length': 5.826086956521739, '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}}
The effects of uncommon time constraints to stopping criteria for managing human-machine interactive decision-making

In this paper, we discuss the effects of uncommon time constraints to the stopping criteria for managing timecritical decision-making in human-machine interaction. The continued growth of multimedia signal processing demands real-time solutions supporting a human-machine interactive decision process. We provide a methodology that locates best alternatives in human-machine interactive decision-making by including human perception in the effects of uncommon time constraints, instead of the prevailing heuristics. The proposed methodology contributes to the stopping criteria of such as an entry-exit control procedure using a monitor device by introducing the alert and confirm built-in functions into human-machine interaction for mitigating the misapprehension of decision makers that originates from human perception.