Kinetic Typography Project (KIWEE)
Summary
In this research, we propose a kinetic typography (KT) layout engine. This engine generates a sentence-level KT effect which conveys emotions in text-based communication. KIWEE(KT Instant messenger With Emotional Expression) is an instant messenger which enhances the use of KT. We propose a sentence-level KT system that generates and assigns effects according to the text input. Our system improves the utilization of KT, allowing it to be used for broader applications. The system consists of 5 steps and we focused on creating an algorithm to automate the processing of the text layout when the input was a sentence.
Keywords
Kinetic typography, emotion, messenger
Research Methods
Text-processing, semi-structured interview, qualitative research, prototyping
Publications
- Sentence-level KT Generating System
Joonhwan Lee, Donghwan Kim, Inho Won, Jieun Wee, Yaena Jang, Sooyeon Jang, Heeryung Choi
HCI Korea 2015- Translated abstract: Kinetic typography(KT) enables users to better convey emotions in text-based communication. In this research, we propose a sentence-level KT system that generates and assigns effects to the text input. We believe that our system improves the utilization of KT for broader applications. The system consists of 5 steps, and we focused on creating an algorithm for automated processing and layout of text, as in a sentence.
- The Architecture of Automatic KT Effects Generating System
Joonhwan Lee, Donghwan Kim, Inho Won, Jieun Wee, Yaena Jang, Sooyeon Jang, Heeryung Choi
Korea Multimedia Society 2014- Translated abstract: Kinetic typography can be used to reveal emotion successfully in a mediated communication environment. Previous kinetic typography research limits animated effects to word-for-word modules. To support various text-based communication there is a need for a sentence based system. Therefore, this study suggests a new algorithm and system where an animated effect for kinetic typography is created for sentences.
- Evaluating System-Generated KT Effects for Sentence-Level Text Layout
Joonhwan Lee, Donghwan Kim, Inho Won, Jieun Wee, Yaena Jang, Sooyeon Jang, Heeryung Choi
The Korean Institute of Information Scientists and Engineers 2014- Translated abstract: Kinetic typography effectively allows texts, which lack non-verbal evidence, to show emotion through movement when used in communication. Previous researches focused on word-for-word modules, whereas this study focuses on the capability and usefulness of sentences. Specifically, for the study an automated algorithm was created where sentences are given animated effects with an appropriate layout. Tests were taken using samples created with the prototype. Results confirmed that sentence based kinetic typography is appropriate in conveying emotion.
People
Joonhwan Lee, Donghwan Kim, Inho Wohn, Jieun Wee, Sooyeun Jang, Yaena Jang (Seoul National University), Younghoon Kim (University of Washington)
Acknowledgement
This work was supported by the IT R&D program of MKE/KEIT, (10041794, Development of the KT Technology for Emotional Representations in Social Media Environment).
Research Motivation
- To develop a sentence-level KT generator.
- To build an automatic KT generator in order to faciliate more end users applying KT.
- To build a real-time KT generator in order to deliver emotion in CMC.
KT Layout Engine
- Emotions were coded based on the moods (positive/negative) - energy (arousal) dimension.
- Preliminary research findings indicate how mood and energy level can be represented through KT.
- Figure 1 reveals the architecture of the proposed system, a KT layout engine, which generates sentence-level KT text to convey emotions in text-based communication.
- Using the KT effect library we had built, the prototype for the KT system was established using JavaScript toolkits (figure 2).
- An experiment was carried out to see how well KT effects created by the designed algorithm represent feelings.
- Result shows that the proposed KT system creates, assigns, and displays emotion through sentence-level texts: both dimensions of emotion were effectively delivered, i.e. mood (positive-negative) and energy level (high-low).
- Verifying the validity of the proposed system, an automated KT generator for a real-time messenger developed (figure 3). </ul>