Similarities and differences of emotions in human-machine and human-human interactions: what kind of emotions are relevant for future companion systems?

Steffen Walter (Lead / Corresponding author), Cornelia Wendt, Jan Böhnke, Stephen Crawcour, Jun-Wen Tan, Andre Chan, Kerstin Limbrecht, Sascha Gruss, Harald C. Traue

    Research output: Contribution to journalArticlepeer-review

    16 Citations (Scopus)

    Abstract

    Cognitive-technical intelligence is envisioned to be constantly available and capable of adapting to the user's emotions. However, the question is: what specific emotions should be reliably recognised by intelligent systems? Hence, in this study, we have attempted to identify similarities and differences of emotions between human-human (HHI) and human-machine interactions (HMI). We focused on what emotions in the experienced scenarios of HMI are retroactively reflected as compared with HHI. The sample consisted of N = 145 participants, who were divided into two groups. Positive and negative scenario descriptions of HMI and HHI were given by the first and second groups, respectively. Subsequently, the participants evaluated their respective scenarios with the help of 94 adjectives relating to emotions. The correlations between the occurrences of emotions in the HMI versus HHI were very high. The results do not support the statement that only a few emotions in HMI are relevant.

    Original languageEnglish
    Pages (from-to)374-86
    Number of pages13
    JournalErgonomics
    Volume57
    Issue number3
    Early online date7 Aug 2013
    DOIs
    Publication statusPublished - 2014

    Keywords

    • Artificial Intelligence
    • Emotions
    • Factor Analysis, Statistical
    • Humans
    • Interpersonal Relations
    • Man-Machine Systems
    • Young Adult
    • Journal Article
    • Research Support, Non-U.S. Gov't

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