Browsing by Author "Toivonen, Hannu"

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  • Data Musicalization
    (2018-04-01) Tulilaulu, Aurora; Nelimarkka, Matti; Paalasmaa, Joonas; Johnson, Daniel; Ventura, Dan; Myllys, Petri; Toivonen, Hannu
     A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
    Data musicalization is the process of automatically composing music based on given data as an approach to perceptualizing information artistically. The aim of data musicalization is to evoke subjective experiences in relation to the information rather than merely to convey unemotional information objectively. This article is written as a tutorial for readers interested in data musicalization. We start by providing a systematic characterization of musicalization approaches, based on their inputs, methods, and outputs. We then illustrate data musicalization techniques with examples from several applications: one that perceptualizes physical sleep data as music, several that artistically compose music inspired by the sleep data, one that musicalizes on-line chat conversations to provide a perceptualization of liveliness of a discussion, and one that uses musicalization in a gamelike mobile application that allows its users to produce music. We additionally provide a number of electronic samples of music produced by the different musicalization applications.
  • Eräiden modifioitujen polyisosyanuraattisolumuovien valmistus
    (1973) Toivonen, Hannu
     Helsinki University of Technology | Licentiate thesis
  • Joustavan tuotantoteknologian valinta
    (1994) Toivonen, Hannu
     School of Business | Master's thesis
  • Julkisten palvelurakennusten tuotanto
    (1978) Toivonen, Hannu
     Helsinki University of Technology | Master's thesis
  • Lähiympäristön kaavoitus ja toteutus
    (1981) Tallgren, Heikki
     Helsinki University of Technology | Licentiate thesis
  • Teekkariksi, kiitos ei?
    (2008) Toivonen, Hannu
     Insinööritieteiden ja arkkitehtuurin tiedekunta | Bachelor's thesis
  • TeMoTopic: Temporal Mosaic Visualisation of Topic Distribution, Keywords and Context
    (2021-04-19) Sheehan, Shane; Luz, Saturnino; Masoodian, Masood
     A4 Artikkeli konferenssijulkaisussa
    In this paper we present TeMoTopic, a visualization component for temporal exploration of topics in text corpora. TeMoTopic uses the temporal mosaic metaphor to present topics as a timeline of stacked bars along with related keywords for each topic. The visualization serves as an overview of the temporal distribution of topics, along with the keyword contents of the topics, which collectively support detail-on-demand interactions with the source text of the corpora. Through these interactions and the use of keyword highlighting, the content related to each topic and its change over time can be explored.