TY - GEN
T1 - Designing a multimodal emotional interface in the context of negotiation
AU - Pelzl, Fabian
AU - Diepold, Klaus
AU - Auernhammer, Jan
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - This paper examines whether a virtual assistant with emotional intelligence improves the Human-Machine Interaction (HMI) in the specific use case of price negotiations. We propose a schema for an Emotional Interface, which we derive from the Skills-Rules-Knowledge (SRK)-Model and the Four Branch Model of Emotional Intelligence. According to this schema, a prototype of a virtual assistant with emotional intelligence is constructed. An avatar is used for representing the respective emotions by means of prosody and facial expression. The prototype is compared to a conventional digital assistant in a within-subject design study regarding user experience and trust building. The findings show that emotions animated in the mimic of the avatar cannot be clearly identified and attributed. Nevertheless, the User Experience of the prototype outperforms the conventional digital assistant, which is mainly due to the hedonic quality dimension. The study did not find any difference in trust between the emotional and the conventional digital assistant. This provides several interesting future research directions which are outlined in this paper.
AB - This paper examines whether a virtual assistant with emotional intelligence improves the Human-Machine Interaction (HMI) in the specific use case of price negotiations. We propose a schema for an Emotional Interface, which we derive from the Skills-Rules-Knowledge (SRK)-Model and the Four Branch Model of Emotional Intelligence. According to this schema, a prototype of a virtual assistant with emotional intelligence is constructed. An avatar is used for representing the respective emotions by means of prosody and facial expression. The prototype is compared to a conventional digital assistant in a within-subject design study regarding user experience and trust building. The findings show that emotions animated in the mimic of the avatar cannot be clearly identified and attributed. Nevertheless, the User Experience of the prototype outperforms the conventional digital assistant, which is mainly due to the hedonic quality dimension. The study did not find any difference in trust between the emotional and the conventional digital assistant. This provides several interesting future research directions which are outlined in this paper.
KW - Affective computing
KW - Chatbots
KW - Embodied conversational agents
KW - Emotion recognition
KW - Emotional intelligence
KW - Intelligent interaction
KW - Negotiation
KW - Neurocognition design
KW - Trust
KW - User experience
KW - Virtual human
UR - http://www.scopus.com/inward/record.url?scp=85088751477&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-49713-2_35
DO - 10.1007/978-3-030-49713-2_35
M3 - Conference contribution
AN - SCOPUS:85088751477
SN - 9783030497125
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 501
EP - 520
BT - Design, User Experience, and Usability. Interaction Design - 9th International Conference, DUXU 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Marcus, Aaron
A2 - Rosenzweig, Elizabeth
PB - Springer
T2 - 9th International Conference on Design, User Experience, and Usability, DUXU 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -