mood

Mood Measurement on Smartphones: Which Measure, Which Design?

Helma Torkamaan Abstract Mood, often studied using smartphones, influences human perception, judgment, thought, and behavior. Mood measurements on smartphones face challenges concerning the selection of a proper mood measure and its transfer, or translation, into a digital application (app) that is user-engaging. Addressing these challenges, researchers sometimes end up developing a new interaction design and …

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Mobile Mood Tracking: An Investigation of Concise and Adaptive Measurement Instruments

Helma Torkamaan, Jürgen Ziegler Abstract Commonly used mood measures are either lengthy or too complicated for repeated use. Mood tracking research is, therefore, associated with challenges such as user dissatisfaction, fatigue, or dropouts from studies. Previous efforts to improve user experience are mostly ambiguous concerning their validity and the extent of improvement they provide (e.g., …

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Exploring chatbot user interfaces for mood measurement: a study of validity and user experience

Helma Torkamaan, Jürgen Ziegler Abstract With the growth of interactive text or voice-enabled systems, such as intelligent personal assistants and chatbots, it is now possible to easily measure a user’s mood using a conversation-based interaction instead of traditional questionnaires. However, it is still unclear if such mood measurements would be valid, akin to traditional measures, …

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A taxonomy of mood research and its applications in computer science

Helma Torkamaan, Jürgen Ziegler Abstract A growing number of studies in the computer science and engineering communities are addressing mood, an affective phenomenon related but not equivalent to emotion. While emotion has been investigated intensely in the affective computing domain, the characteristics and applications of mood are relatively unexplored. Through a bottom-up approach, this paper …

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