TY - GEN
T1 - Towards humanlike chatbots helping users cope with stressful situations
AU - Medeiros, Lenin
AU - Gerritsen, Charlotte
AU - Bosse, Tibor
PY - 2019
Y1 - 2019
N2 - Many researchers are studying the application of computer-generated emotional support to increase well-being in humans. In this chapter, we investigate some challenges related to the development of effective stress support bots. We developed a chatbot for Facebook Messenger that, using IBM Watson’s text mining and machine learning capabilities, can carry out small dialogues with its users and recognise when they are talking about stressful daily-life events. Based on previous studies, our presented bot provides emotionally supportive text messages tailored to the stressors users share with it. Two groups of specialists have interacted with our software and provided useful insights via focus groups. Based on the results of the focus groups, a number of recommendations have been formulated to further improve stress support bots. In future work, we plan to address all the feedback obtained during this study, as well as to conduct an experiment to investigate to what extent our chatbot is able to make people cope with their daily-life stressful situations.
AB - Many researchers are studying the application of computer-generated emotional support to increase well-being in humans. In this chapter, we investigate some challenges related to the development of effective stress support bots. We developed a chatbot for Facebook Messenger that, using IBM Watson’s text mining and machine learning capabilities, can carry out small dialogues with its users and recognise when they are talking about stressful daily-life events. Based on previous studies, our presented bot provides emotionally supportive text messages tailored to the stressors users share with it. Two groups of specialists have interacted with our software and provided useful insights via focus groups. Based on the results of the focus groups, a number of recommendations have been formulated to further improve stress support bots. In future work, we plan to address all the feedback obtained during this study, as well as to conduct an experiment to investigate to what extent our chatbot is able to make people cope with their daily-life stressful situations.
KW - Chatbots
KW - Computer-generated emotional support
KW - Conversational agents
KW - Emotion regulation
KW - Human-computer interaction
KW - Stress
KW - Text mining
UR - http://www.scopus.com/inward/record.url?scp=85072863159&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072863159&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-28377-3_19
DO - 10.1007/978-3-030-28377-3_19
M3 - Conference contribution
AN - SCOPUS:85072863159
SN - 9783030283766
VL - 1
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 232
EP - 243
BT - Computational Collective Intelligence
A2 - Nguyen, Ngoc Thanh
A2 - Chbeir, Richard
A2 - Exposito, Ernesto
A2 - Aniorté, Philippe
A2 - Trawinski, Bogdan
A2 - Nguyen, Ngoc Thanh
PB - Springer Verlag
T2 - 11th International Conference on Computational Collective Intelligence, ICCCI 2019
Y2 - 4 September 2019 through 6 September 2019
ER -