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Title |
Effects of AI-Generated Motion Pictograms on Comprehension and User Experience |
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Author |
Natsumi Okatani, Ryuji Shioya, and Yasushi Nakabayashi |
| Citation |
Vol. 25 No. 5 pp. 159-171 |
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Abstract |
This study explored the potential of artificial intelligence (AI) to automate the creation of dynamic motion pictograms from static pictograms, thereby enhancing visual communication. Conventional static pictograms typically face limitations in conveying complex information. Conversely, motion pictograms can facilitate more intuitive communication through dynamic visual representations. However, the prohibitive costs required for creation. This study aimed to address these challenges and promote the dissemination of motion pictograms by automating their generation using AI. To evaluate the effectiveness of AI-generated motion pictograms, we conducted experiments comparing them with human-created motion and static pictograms. The results indicated that although AI-generated motion pictograms offer promising possibilities for visual communication, further research is required to develop more sophisticated algorithms and carefully consider design elements and motion characteristics that influence viewer interpretation. This study contributes to the literature by providing valuable insights into the potential and limitations of AI-generated motion pictograms for effective visual communication. |
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Keywords |
AI; pictogram; motion graphics; user experiment; visual communication.. |
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