Abstract
This paper proposed the Keyword Movement Disclose System (KMDS), which allows a facilitator of discussion to watch a record of the moving keywords in a Discussion Board System (DBS). In the DBS, the discussion participants place each keyword in a box made for each item to be discussed. The keywords in the box were expected to show each participant’s opinion and intention, because the participant’s individual display was not disclosed to the other participants. Therefore, if the facilitator of the discussion can see the true opinions and intentions of all participants via the keywords in the boxes through the KMDS, the facilitator will be more appropriately advance the discussions and be able to draw conclusions based on diverse opinions. Moreover, the KMDS may contribute to the development of an artificial intelligence facilitator. In this paper, we conducted an experiment in which ten facilitators were asked to listen to a recorded discussion held by nine participants using the DBS. Five of the facilitators used the KMDS while listening the recorded discussion. It was suggested that KMDS may allow the facilitators to build a consensus from various viewpoints of the participants, although the results of the experiment did not show much difference depending on the conditions with/without KMDS.
Highlights
Diverse perspectives shared by employees enhance corporate competitiveness, the discussions that concentrate diverse values can become confused [1]
How should the artificial intelligence (AI) facilitator use the keywords in each participant’s boxes to make a final decision? In this paper, ten facilitators listened to a discussion using the Discussion Board System (DBS), with/without watching a record of the keywords that showed when and who put each keyword into each box
This paper proposed a Keyword Movement Disclose System (KMDS) that displays when and who puts a keyword into which box in a discussion support system (DBS)
Summary
Diverse perspectives shared by employees enhance corporate competitiveness, the discussions that concentrate diverse values can become confused [1]. Team members with diverse information perform better when they exchange information effectively. Their performances become poor when they rely on their own limited perspective [3]. In such a case, a facilitator [4] can appropriately advance discussions based on various viewpoints [1]. There are several studies that have automated the role of facilitators by generating a facilitator’s questioning based on pattern-matching rules [5], analyzing the words written on a bulletin board and automatically facilitating the discussion [6, 7]. Since the facilitator role is different from those of a secretary or moderator, it is not enough to recognize the utterances of the discussion participants by voice recognition and to collect the hot opinions
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