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Despite great advances in communications technologies and applications, considerable aspects of face-to-face human interactions remain difficult to relay. Instances such as the introduction of emojis and the proliferation of video-based communications have certainly enriched our communications. Still, much needs to be sought in both human-to-human as well as human-to-machine communications.

A computer’s ability to capture a human’s emotion is called affective sensing, alternatively called emotion sensing and more recently emotional artificial intelligence (emotional AI). Since its formulating introduction in mid 1990s by Picard, affective sensing has evolved substantially, and have found its role in various applications. These range from understanding the driver’s affective state, distraction and behavior; to automating the capture of user’s Quality of Experience (QoE) for a certain connection; to the use of emotions in crowd and traffic management; to relaying emotions to and from the metaverse.

This Feature Topic addresses affective computing and communications through research advances, technologies, applications, and management aspects that enable human-computer interaction including emotion sensing. The goal is to report on the most up-to-date contributions in this area. Affective computing and communications must be central to all topics that include, but are not limited to the following:

Areas of interest include the following.

• Application of emotion sensing in communications, including but not limited to
  • Human-to-human communications
  • Human-to-machine communications
  • Emotions in social networks communications
  • Metaverse and mixed-reality (XR) environments
  • Connected vehicles, telematics, driver behavior monitoring
  • eHealth, mHealth
  • Education
  • Video games
  • Network management, automated QoE capture
• Advances in emotion sensing, modelling, and discretization.
• Emotion classification, taxonomy
• Detecting and recognizing emotional information
• Fusion considerations in emotion sensing
• Reports on implementations and testbeds of emotion-enabled communications
• Architectural requirements for emotion-enabled communications.
• The use of artificial intelligence and machine learning in emotion sensing and emotion-enabled communications.
• Considerations for cross-layer communications and network management.
• Validation requirements for emotion-enabled communications.
• Communication Technologies for emotion sensing
• Emotion sensing for Fifth Generation (5G) and Sixth Generation (6G) networks
• Tactile Internet and affective computing
• Haptic Computing and communications

Submission Guidelines

Manuscripts should conform to the standard format as indicated in the Manuscript Submission Guidelines in the IEEE Communications Magazine website. Please, check these guidelines carefully before submitting since submissions not complying with them will be administratively rejected without review.

All manuscripts to be considered for publication must be submitted by the deadline through Manuscript Central. Select the “FT-2223 / Affective Computing and Communications” topic from the drop-down menu of topics. Please observe the dates specified here below noting that there will be no extension of the submission deadline.

Important Dates

Manuscript Submission Deadline: 15 January 2023
Decision Notification: 1 March 2023
Final Manuscript Due: 15 April 2023
Publication Date: June 2023

Guest Editors

Abd-Elhamid M. Taha
Alfaisal University, Kingdom of Saudi Arabia

‪Ajjen Joshi
Affectiva, USA

M. Fatima Domingues
Instituto de Telecomunicações-Aveiro, Portugal

Mehmet Ulema
Manhattan College, USA