@inproceedings{ubo_mods_00191230,
  author = {Ma, Yuan and Kleemann, Timm and Ziegler, Jürgen},
  editor = {},
  title = {Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor},
  booktitle = {Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems},
  series = {CEUR Workshop Proceedings},
  year = {2022},
  publisher = {},
  address = {},
  volume = {3222},
  pages = {18–32},
  keywords = {conversational UI design, interactive behavior analysis, decision making, influence of psychological factors on interaction},
  abstract = {We present a study investigating psychological characteristics of users of a GUI-style conversational recommender system in a real-world application case. We collected data of 496 customers of an online shop using a conversational product advisor (CPA), using questionnaire responses concerning decision- making style and a set of meta-intents, a concept we propose to represent high-level user preferences related to the decision process in a CPA. We also analyzed anonymized data on users’ interactions in the CPA. Concerning general decision-making style, we could identify two clusters of users who differ in their scores on scales measuring rational and intuitive decision-making. We found evidence that rationality and intuitiveness scores are differently correlated with the proposed meta-intents such as efficiency orientation, interest in detail, and openness for guidance. Relations with interaction data could be observed between rationality/intuitiveness scores and overall time spent in the CPA. Trying to classify users’ decision style from their interactions, however did not yield positive results. Despite the limitation that only a single CPA was studied in a single domain, our results provide evidence that the proposed meta-intents are linked to the general decision-making style of a user and can thus be instrumental in translating general decision-making factors into more concrete design guidance for CPA and their potential personalization.},
  issn = {1613-0073},
  url = {http://ceur-ws.org/Vol-3222/paper2.pdf},
  language = {en}
}