Special Issue on Task engagement: definitions, measures and antecedents
This special issue reviews the state of the art on task engagement (task being viewed in various contexts: video game, job, educative learning, etc). The approach taken is strongly multidisciplinary and seeks to harness fields as diverse as economy, management, neurosciences, artificial intelligence, educational studies, and more.
Issues addressed should be the definition of task engagement, its relation to addiction (e.g. in video games), workaholism, or burn-out, for example. As task engagement refers to several aspects, such as cognition, emotion, and motivation, it would be of interest to receive articles studying it through these concepts. Defining task disengagement would also be relevant. These questions also raise the issue of the interplay between engagement and emotion: is emotion necessary (and sufficient?) for engagement? Conversely, to what extent does engagement provide emotion?
Definition also includes computational models of engagement for human-machine interactions as they appear in digital games, conversational animated agent and the like.
Another part of the special issue will be dedicated to the study of antecedents and measures of task engagement. The non-exhaustive list of determinants includes, but is not limited to, the characteristics of the task itself: interest and difficulty of the task, incentives (intrinsic, extrinsic), and autonomy. External elements could also be examined: how an individual is treated in his work (fairness, procedural justice, distributive justice), the work organization, the team and all related management factors, trust, and recognition can be part of the commitment process and are worth being studied. Considering the human-machine interactions, using automatic recognition, the program automatically adjusts to maintain the level of commitment at a high level.
To assess the commitment level, physiological signals (ECG, EMG, EEG, EDA), gesture, speech or facial expressions are information commonly used to build relevant measures.
As far as possible, the contributions should present task engagement studies using physiological measures (electrical measures, blood measures, hormonal measures, heartbeat, etc) or neural information.
Editors of this special issue:
Anne Corcos and Maria Rifqi
Acceptance notification: August 1, 2016
Deadline for submission of full article:
January 1, 2017 — Submission via http://www.socioaffectiveneuroscipsychol.net/index.php/snp
Revised paper submission: March 1, 2017
Publication target date: 2nd quarter 2017
Further details on Author Instructions and publication fees, please check here.
Socioaffective Neuroscience & Psychology (http://www.socioaffectiveneuroscipsychol.net) is a peer reviewed international Open Access journal that aims to provide a forum for, and stimulate multidisciplinary research into the central nervous system and its complex relationship with the surrounding social environment.