Title :
Understanding affective interaction: Emotion, engagement, and internet videos
Author :
Bardzell, Shaowen ; Bardzell, Jeffrey ; Pace, Tyler
Author_Institution :
Sch. of Inf. & Comput., Indiana Univ., Bloomington, IN, USA
Abstract :
As interest in experience and affect in HCI continues to grow, particularly with regard to social media and Web 2.0 technologies, research on techniques for evaluating user engagement is needed. This paper presents a study of popular Internet videos involving a mixed method approach to user engagement. Instruments included physiological measures, emotional self-report measures, and personally expressive techniques, such as open-ended prose reviews. Using triangulation to interpret the results, we express relationships among perceived emotion, experienced emotion, video preference, and contextual factors.
Keywords :
Internet; human computer interaction; multimedia computing; Internet videos; Web 2.0 technology; affective interaction; emotional self-report measures; human computer interaction; open ended prose reviews; personally expressive techniques; physiological measures; social media; triangulation method; user engagement approach; Artificial intelligence; Emotion recognition; Human computer interaction; Informatics; Instruments; Internet; Navigation; Portals; Robustness; Videos;
Conference_Titel :
Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4244-4800-5
Electronic_ISBN :
978-1-4244-4799-2
DOI :
10.1109/ACII.2009.5349551