Improving Active Attitude for Interactive Decision-making with Multiple Agents by Increasing Personal Resource

When human participants collaborate in decision-making and problem solving, the results are often better than those obtained from individual efforts. However, when they cooperatively perform tasks with an embodied agent, the agent is often regarded merely as a human-centric multi-modal interface from which information is obtained. In this study, by increasing the “personal resource” in the aspect of work engagement, we aim to incorporate active attitude in the human participants toward task and in their interactions with the embodied agents. We conducted an experiment to investigate whether increasing the personal resource will impact the active attitude of participants. In the experiment, we used a mediator agent that increased either the “personal resource” or “job resource” in addition to an expert agent that directly supported the task. The results suggested that a mediator agent that increased the personal resources can induce the active attitude of participants in the human-agent interaction.

[1]  Ning Wang,et al.  Creating Rapport with Virtual Agents , 2007, IVA.

[2]  Satoshi Nakamura,et al.  Modeling spoken decision support dialogue and optimization of its dialogue strategy , 2011, TSLP.

[3]  M. Kotzé How job resources and personal resources influence work engagement and burnout , 2018, African Journal of Economic and Management Studies.

[4]  Toyoaki Nishida,et al.  Effect of an Agent's Contingent Responses on Maintaining an Intentional Stance , 2017, HAI.

[5]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[6]  M. Chi,et al.  The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes , 2014 .

[7]  Guillaume Dubuisson Duplessis,et al.  Behavioral and Emotional Spoken Cues Related to Mental States in Human-Robot Social Interaction , 2015, ICMI.

[8]  Nagisa Munekata,et al.  Emergence of joint attention between two robots and human using communication activity caused by synchronous behaviors , 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[9]  Wilmar B. Schaufeli,et al.  Reciprocal relationships between job resources, personal resources, and work engagement. , 2009 .

[10]  Maxine Eskénazi,et al.  Let's go public! taking a spoken dialog system to the real world , 2005, INTERSPEECH.

[11]  Thomas Rist,et al.  The automated design of believable dialogues for animated presentation teams , 2001 .

[12]  Willem Verbeke,et al.  Using the job demands‐resources model to predict burnout and performance , 2004 .

[13]  Leon Festinger,et al.  The Effectiveness of "Overheard" Persuasive Communications , 1962 .

[14]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[15]  Toyoaki Nishida,et al.  The effect of convergent interaction using subjective opinions in the decision-making process , 2014, CogSci.

[16]  Krishnan Bhaskaran,et al.  The effectiveness of , 2014 .

[17]  A. Bakker,et al.  Job demands, job resources, and their relationship with burnout and engagement: a multi‐sample study , 2004 .