{'fraction_non_alphanumeric': 0.03290676416819013, 'fraction_numerical': 0.0, 'mean_word_length': 5.151685393258427, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Towards a mood-dashboard in business meetings

This paper explores the possibilities of a mood-dashboard for use in meetings. The research question defined is: How can a mood-dashboard for the purpose of recognising affective states in business meetings be defined and realised? A literature study has been done to answer this research question. First, the requirements on the mood dashboard have been set up. The result is that the mood-dashboard should have the following nine meters: disagree/agree, angry/content, confusion, bored/interested, certainty, dominance, sad/exaltated, surprise and worry/relaxed. Activation, valence and control are other aspects that could be added to the dashboard. Secondly, this paper looks into the realization of such a dashboard. The several aspects that should be measured in order to realise the dashboard are: visual signals (facial expressions and body gestures), vocal signals and physiological signals. However, it is concluded that researchers have a long way to go before the proposed mood-dashboard with its possible applications can be realised.