A Narrative Synthesis on the Role of Affective Computing in Fostering Workplace Well-Being Using a Deep Learning Model
- Title
- A Narrative Synthesis on the Role of Affective Computing in Fostering Workplace Well-Being Using a Deep Learning Model
- Creator
- Delina G.; Badada B.; Krishnaraj R.; Thiruthuvanathan M.M.; Kumar R.M.
- Description
- Emotional information is more valued in the modern workplaces with increased focus on the need for sensing, recognizing and responding to human emotions. Integrating human emotions as information for communication and decision-making is possible through the computer-based solution called as affective computing. Affective computing is a relatively less explored AI platform though the notion is more than two decades old. The cognitive algorithms employed in affective computing operates in three key areas, viz. context sensitivity, augmented reality, and proactiveness, with outcomes in the fields of emotion management, health, and productivity. Affective computing promises better management of organizational outcomes such as fostering workplace well-being, promoting happiness, productivity, engagement levels, and communication. Further, affective computing can play vital roles in an employees life cycle with applications in functional areas of HRM like employee selection, training and development, and performance management. Even as workplaces are increasingly adopting affective computing, an analysis of its positive effects can help practitioners take informed decisions about its implementation. This paper outlines the theoretical underpinnings of affective computing, discusses the relevance of ResNet50 in image analysis, and proposes a step-by-step methodology for implementing affective computing techniques in the workplace. The potential benefits and challenges of adopting affective computing in fostering workplace well-being are also discussed. Thus, this chapter investigates the role of affective computing in fostering well-being in the workplace usinga deep learning model. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
- Source
- Lecture Notes in Networks and Systems, Vol-1117 LNNS, pp. 431-445.
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Affective computing; AI; Deep learning model; Employee emotions; Productivity; ResNet50; Workplace well-being
- Coverage
- Delina G., Kalasalingam Academy of Research and Education (Deemed to Be University), Tamil Nadu, Krishnankoil, Srivilliputhur, 626126, India; Badada B., Kalasalingam Academy of Research and Education (Deemed to Be University), Tamil Nadu, Krishnankoil, Srivilliputhur, 626126, India; Krishnaraj R., Dambi Dolo University, Dembi Dollo, 000260, Ethiopia; Thiruthuvanathan M.M., Christ (Deemed to Be University), Karnataka, Bengaluru, 560029, India; Kumar R.M., Christ (Deemed to Be University), Karnataka, Bengaluru, 560029, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981976991-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Delina G.; Badada B.; Krishnaraj R.; Thiruthuvanathan M.M.; Kumar R.M., “A Narrative Synthesis on the Role of Affective Computing in Fostering Workplace Well-Being Using a Deep Learning Model,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19027.