How Virtual Teammate Support Types Affect Stress

In this paper we design and implement an artificial task-based scenario that seeks to induce loneliness and acute stress. We explore how the presence of a virtual teammate called Mary and the differing types of support that she provides affects users stress during a task. We investigate how empathic support, task support and the combination of task and empathic support affect stress. Stress is measured using both physiological sensors (skin conductance and heart rate) and self-reporting questionnaires. The results obtained offer insight into the best type of support to give individuals taking part in critical situations, such as in our chosen domain of pre-hospital care. This work lays down the foundations for future work in the development of an intelligent algorithm for a virtual teammate which can provide benefits to both casualty and carer welfare.

[1]  Mitsuru Ishizuka,et al.  Empathic Embodied Interfaces: Addressing Users' Affective State: Embodied Interfaces That Address Users' Physiological State , 2004, ADS.

[2]  Hatice Gunes,et al.  Automatic, Dimensional and Continuous Emotion Recognition , 2010, Int. J. Synth. Emot..

[3]  Mitsuru Ishizuka,et al.  Life-like characters - tools, affective functions, and applications , 2004, Life-like characters.

[4]  Judith Masthoff,et al.  Is it Me or Is it what I say? Source Image and Persuasion , 2007, PERSUASIVE.

[5]  Dirk Heylen,et al.  Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing , 2012, IEEE Transactions on Affective Computing.

[6]  Jonathan Klein,et al.  This computer responds to user frustration: Theory, design, and results , 2002, Interact. Comput..

[7]  Richard L. Hazlett,et al.  Measuring emotional valence during interactive experiences: boys at video game play , 2006, CHI.

[8]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[9]  Mitsuru Ishizuka,et al.  Life-Like Characters , 2004, Cognitive Technologies.

[10]  Louise M Burke,et al.  American College of Sports Medicine position stand. Exercise and fluid replacement. , 2007, Medicine and science in sports and exercise.

[11]  Kate S. Hone,et al.  Empathic agents to reduce user frustration: The effects of varying agent characteristics , 2006, Interact. Comput..

[12]  Gary W. Mack,et al.  Exercise and Fluid Replacement , 1996 .

[13]  PelachaudCatherine,et al.  Bridging the Gap between Social Animal and Unsocial Machine , 2012 .

[14]  R. McCrae Controlling neuroticism in the measurement of stress , 1990 .

[15]  S. Gosling,et al.  A very brief measure of the Big-Five personality domains , 2003 .

[16]  B. Manav Color‐emotion associations and color preferences: A case study for residences , 2007 .

[17]  Clifford Nass,et al.  Computers are social actors , 1994, CHI '94.

[18]  R. McCrae,et al.  An introduction to the five-factor model and its applications. , 1992, Journal of personality.

[19]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[20]  Clifford Nass,et al.  Anthropomorphism, agency, and ethopoeia: computers as social actors , 1993, INTERCHI Adjunct Proceedings.

[21]  G. Burrows,et al.  Measurement of stress and arousal: validation of the stress/arousal adjective checklist. , 1983, British journal of psychology.

[22]  Ana Paiva,et al.  Empathy in Social Agents , 2011, Int. J. Virtual Real..

[23]  Judith Masthoff,et al.  Identifying and measuring stressors present in pre-hospital care , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

[24]  Peter Kindness Towards a Virtual Teammate Whose Support Can Help Alleviate Stress in the Prehospital Care Domain , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[25]  Naphtali Rishe,et al.  Building an On-Demand Avatar-Based Health Intervention for Behavior Change , 2012, FLAIRS.

[26]  Fiorella de Rosis,et al.  AISB ’ 05 Virtual Social Characters Symposium Can Embodied Conversational Agents Induce Empathy In Users ? , 2005 .

[27]  Mitsuru Ishizuka,et al.  A Study in Users' Physiological Response to an Empathic Interface Agent , 2006, Int. J. Humanoid Robotics.

[28]  P. Lang The emotion probe. Studies of motivation and attention. , 1995, The American psychologist.

[29]  Jonathan Klein,et al.  This computer responds to user frustration , 1999, CHI Extended Abstracts.

[30]  Kristina Höök,et al.  Evaluating affective interactions , 2007, Int. J. Hum. Comput. Stud..

[31]  K. Matthews,et al.  Negative emotions and acute physiological responses to stress , 1999, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[32]  Youngme Moon,et al.  This Computer Responds to User Frustration Theory, Design, Results, and Implications , 2002 .

[33]  Sharon Glazer,et al.  Social support across cultures , 2006 .

[34]  Ass,et al.  Can computers be teammates? , 1996 .

[35]  Maclean,et al.  Evaluating affective interactions , 2008 .

[36]  Sung Gyoo Park Medicine and Science in Sports and Exercise , 1981 .

[37]  P. Niedenthal,et al.  The heart's eye: Emotional influences in perception and attention. , 1994 .