Human-Computer Interaction: A Literature Analysis from 1998 to 2018 Using Automated Text Mining
International Informatics and Software Engineering Conference (UBMYK), Ankara, Türkiye, 6 - 07 Kasım 2019, ss.1-5, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/ubmyk48245.2019.8965599
- Basıldığı Şehir: Ankara
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.1-5
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
The purpose of this study is to investigate the research themes and trends in the field of Human-Computer Interaction (HCI) between 1998 and 2018. An automated text mining based content analysis was implemented using probabilistic topic modeling on 33,830 peer-reviewed journal articles indexed by the Scopus database. The analysis uncovered 53 topics specifying the themes and trends in the HCI field. These topics were then categorized into a systematic taxonomy mapping the landscape of HCI research and practice, containing six main categories: machinery systems, HCI body of knowledge, feature identification, brain-computer interfaces, interaction, and medical.