This paper introduces a design-focused typology of psychological human needs that includes 13 fundamental needs and 52 sub-needs (four for each fundamental need). The typology was developed to provide a practical understanding of psychological needs as a resource for user-centered design practice and research with a focus on user experience and well-being. The first part of the manuscript briefly reviews Abraham Maslow’s pioneering work on human needs, and the underlying propositions, main contributions and limitations of his motivational theory. The review results in a set of requirements for a design-focused typology of psychological needs. The second part reports on the development of the new typology. The thirteen needs were selected from six existing typologies with the use of five criteria that distinguish fundamental from non-fundamental needs. The resulting typology builds on the strengths of Maslow’s need hierarchy but rejects the hierarchical structure and adds granularity to the need categories. The third part of the paper describes three examples of how the need typology can inform design practice, illustrated with student design cases. It also presents three means for communicating the need typology. The general discussion section reflects on implications and limitations and proposes ideas for future research.

This paper introduces Pick-A-Mood, a character-based pictorial scale for reporting and expressing moods. Pick-A-Mood consists of three characters that each express eight mood states, representing four main categories: excited and cheerful (for energised-pleasant), irritated and tense (for energised-unpleasant), relaxed and calm (for calm-pleasant), and bored and sad (for calm-unpleasant). Using Pick-A-Mood requires little effort on the part of respondents, making it suitable for design research applications in which people often have little time or motivation to report their moods. Contrary to what is often assumed, mood and emotion are distinct phenomena with different measurable manifestations. These differences are discussed, and a review of existing methods is provided, indicating to what extent current methods that measure emotion are suitable for measuring mood. The development and validation of Pick-A-Mood is reported, and application examples and research opportunities are discussed.