{"id":215362,"date":"2015-09-01T00:00:00","date_gmt":"2015-09-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/moodtracker-monitoring-collective-emotions-in-the-workplace\/"},"modified":"2018-10-16T22:02:55","modified_gmt":"2018-10-17T05:02:55","slug":"moodtracker-monitoring-collective-emotions-in-the-workplace","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/moodtracker-monitoring-collective-emotions-in-the-workplace\/","title":{"rendered":"MoodTracker: Monitoring Collective Emotions in the Workplace"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Accurate and timely assessment of collective emotions in the workplace is a critical managerial task. However, perceptual, normative, and methodological challenges make it very difficult even for the most experienced organizational leaders. In this paper we present a MoodTracker &#8211; a technological solution that can help to overcome these challenges, and facilitate a continuous monitoring of the collective emotions in large groups in real-time. The MoodTracker is a program that runs on any PC device, and provides users with an interface for self-report of their affect. The device was tested in situ for four weeks, during which we received over 3000 emotion self-reports. Based on the usage data, we concluded that users had a positive attitude toward the MoodTracker and favorably evaluated its utility. From the collected data we were also able to establish some patterns of weekly and daily variations of employees&#8217; emotions in the workplace. We discuss practical applications and suggest directions for future development.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Accurate and timely assessment of collective emotions in the workplace is a critical managerial task. However, perceptual, normative, and methodological challenges make it very difficult even for the most experienced organizational leaders. In this paper we present a MoodTracker &#8211; a technological solution that can help to overcome these challenges, and facilitate a continuous monitoring [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"ACII 2016: Affective Computing and Intelligent Interaction, 2015 International Conference 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