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Emotional Responses to Sensory Feedback

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (1 December 2021) | Viewed by 3338

Special Issue Editors


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Guest Editor
Tampere University of Applied Sciences
Interests: affective computing; haptics; multimodality; human–computer interactio

E-Mail Website
Guest Editor
Department of Electrical Engineering, University of Cape Town, Cape Town, South Africa
Interests: sensor design; signal processing; machine learning; AI
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sensory feedback has a central role in user experience and emotional responses. Manipulation of the physical characteristics of the environment (e.g., luminosity, tactile characteristics, sounds, scents, taste, or a combination of these) can heavily affect people beyond the simple comfortable/uncomfortable axis.

The systems built to stimulate senses for emotions can be complex. For example, in affective computing, systems and devices that can recognize, interpret, process, and stimulate human emotions in an intelligent manner are being developed. Examples of interesting solutions to simulate, measure, and analyze emotional responses to sensory feedback include but are not limited to novel and smart emotion sensing technologies, virtual technologies, emotion recognition from multiple sensory sources, and artificial intelligence.

This Special Issue of Sensors aims to report original research papers focused on measuring emotional responses to sensory feedback. Potential inputs include but are not limited to a) novel actuators and innovative solutions for human–computer interaction or human–machine interaction, b) measuring of emotional responses to sensory stimulation, c) human–robot interaction, and d) multimodality.

Dr. Katri Salminen
Dr. Amit Kumar Mishra
Guest Editors

Manuscript Submission Information

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Keywords

  • Human emotion recognition
  • Affective computing
  • Artificial intelligence
  • Emotion sensing technologies
  • Multimodal input/output
  • Modeling sensory performance

Published Papers (1 paper)

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Research

16 pages, 1501 KiB  
Article
Eye-Tracker Study of Influence of Affective Disruptive Content on User’s Visual Attention and Emotional State
by Anna Lewandowska, Izabela Rejer, Kamil Bortko and Jarosław Jankowski
Sensors 2022, 22(2), 547; https://0-doi-org.brum.beds.ac.uk/10.3390/s22020547 - 11 Jan 2022
Cited by 6 | Viewed by 2787
Abstract
When reading interesting content or searching for information on a website, the appearance of a pop-up advertisement in the middle of the screen is perceived as irritating by a recipient. Interrupted cognitive processes are considered unwanted by the user but desired by advertising [...] Read more.
When reading interesting content or searching for information on a website, the appearance of a pop-up advertisement in the middle of the screen is perceived as irritating by a recipient. Interrupted cognitive processes are considered unwanted by the user but desired by advertising providers. Diverting visual attention away from the main content is intended to focus the user on the appeared disruptive content. Is the attempt to reach the user by any means justified? In this study, we examined the impact of pop-up emotional content on user reactions. For this purpose, a cognitive experiment was designed where a text-reading task was interrupted by two types of affective pictures: positive and negative ones. To measure the changes in user reactions, an eye-tracker (for analysis of eye movements and changes in gaze points) and an iMotion Platform (for analysis of face muscles’ movements) were used. The results confirm the impact of the type of emotional content on users’ reactions during cognitive process interruptions and indicate that the negative impact of cognitive process interruptions on the user can be reduced. The negative content evoked lower cognitive load, narrower visual attention, and lower irritation compared to positive content. These results offer insight on how to provide more efficient Internet advertising. Full article
(This article belongs to the Special Issue Emotional Responses to Sensory Feedback)
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