Opening book details…
Can I read Users’ Satisfaction of Personality Types Integration in HCI on EtoBox?
Users’ Satisfaction of Personality Types Integration in HCI by Kasthuri Subaramaniam; Sellappan Palaniappan is a book available to read on EtoBox.
What is Users’ Satisfaction of Personality Types Integration in HCI about?
This book constitutes the refereed proceedings of the Third International Conference on Design, Operation and Evaluation of Mobile Communications, MOBILE 2022, held as part of the 23rd International Conference, HCI International 2022, which was held virtually in June/July 2022. The total of 1271 papers and 275 posters included in the HCII 2022 proceedings was carefully reviewed and selected from 5487 submissions. The MOBILE 2022 proceedings were organized in the following topical sections: Designing Mobile Interactions and Systems; User Experience and Adoption of Mobile Communications; Mobile Commerce and Advertising; Mobile Interactions with Agents; Emerging Mobile Technologies.
- Author
- Kasthuri Subaramaniam; Sellappan Palaniappan
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9783031050138
- Subjects
- Computer Science, Science, Engineering
More by Kasthuri Subaramaniam; Sellappan Palaniappan
Browse all works by Kasthuri Subaramaniam; Sellappan Palaniappan
Similar books
- Playable Characters Attributes: An Empirical Analysis Based on the Theoretical Proposal from Katherine Isbister and Ernest Adams — Tânia Ribeiro; Gonçalo Ribeiro; Ana Isabel Veloso (2022)
- A Design Method of Knee Pad Based on User Data — Kaice Man; Fei Yue; Wenda Tian (2022)
- The Factors Influencing the Willingness of Investors to Use Robo-Advisors — Yi-Cheng Ku; Hai-Xuan Wang (2022)
- Towards More Clean Results in Data Visualization: A Weka Usability Experiment — Jaime Díaz; Roberto Espinosa; Jorge Hochstetter (2022)
- Different Sample Sources, Different Results? A Comparison of Online Panel and Mail Survey Respondents — Aki Koivula; Jukka Sivonen (2022)
- Wavelet-Based Analysis of fNIRS Measures Enable Assessment of Workload — Pratusha Reddy; Kurtulus Izzetoglu; Patricia A. Shewokis (2022)