Introduction to the Special Issue on Physiological Computing for Human-Computer Interaction

Author:

Silva Hugo Plácido Da1,Fairclough Stephen2,Holzinger Andreas3,Jacob Robert4,Tan Desney5

Affiliation:

1. IT—Instituto de Telecomunicações, University of Lisbon, Portugal

2. Liverpool John Moores University, United Kingdom

3. Medical University of Graz, Graz, Austria

4. Tufts University, MA, USA

5. Microsoft Research, USA

Abstract

Physiological data in its different dimensions—bioelectrical, biomechanical, biochemical, or biophysical—and collected through existing sensors or specialized biomedical devices, image capture, or other sources is pushing the boundaries of physiological computing for human-computer interaction (HCI). Although physiological computing shows the potential to enhance the way in which people interact with digital content, systems remain challenging to design and build. The aim of this special issue is to present outstanding work related to use of physiological data in HCI, setting additional bases for next-generation computer interfaces and interaction experiences. Topics covered in this issue include methods and methodologies, human factors, the use of devices, and applications for supporting the development of emerging interfaces.

Publisher

Association for Computing Machinery (ACM)

Subject

Human-Computer Interaction

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DSP Basics;Intelligent Computing for Interactive System Design;2021-02-23

2. From Biodata to Somadata;Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems;2020-04-21

3. Affective effects of gamification;Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments;2019-06-05

4. What Eye Movements and Facial Expressions Tell Us about User-Friendliness: Testing a Tool for Communicators and Journalists;Social Media Use in Crisis and Risk Communication;2018-10-01

5. sEMG-Based Drawing Trace Reconstruction: A Novel Hybrid Algorithm Fusing Gene Expression Programming into Kalman Filter;Sensors;2018-09-30

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