User Involvement in Collaborative Decision-Making Dialog Systems. Nothdurft, F., Bercher, P., Behnke, G., & Minker, W. In Jokinen, K. & Wilcock, G., editors, Dialogues with Social Robots: Enablements, Analyses, and Evaluation, pages 129–141. Springer, 2017. This book chapter was accepted at the 7th International Workshop On Spoken Dialogue Systems (IWSDS 2016).
User Involvement in Collaborative Decision-Making Dialog Systems [pdf]Paper  doi  abstract   bibtex   
Abstract Mixed-initiative assistants are systems that support humans in their decision-making and problem-solving capabilities in a collaborative manner. Such systems have to integrate various artificial intelligence capabilities, such as knowledge representation, problem solving and planning, learning, discourse and dialog, and human-computer interaction. These systems aim at solving a given problem autonomously for the user, yet involve the user into the planning process for a collaborative decision-making, to respect e.g. user preferences. However, how the user is involved into the planning can be framed in various ways, using different involvement strategies, varying e.g. in their degree of user freedom. Hence, here we present results of a study examining the effects of different user involvement strategies on the user experience in a mixed-initiative system.
@InCollection{Nothdurft2016UserInvolvement,
  booktitle                = {Dialogues with Social Robots: Enablements, Analyses, and Evaluation},
  Author                   = {Florian Nothdurft and Pascal Bercher and Gregor Behnke and Wolfgang Minker},
  title                    = {User Involvement in Collaborative Decision-Making Dialog Systems},
  Editor                   = {Kristiina Jokinen and Graham Wilcock},
  Publisher                = {Springer},
  Year                     = {2017},
  pages                    = {129--141},
  note                     = {This book chapter was accepted at the 7th International Workshop On Spoken Dialogue Systems (IWSDS 2016).},
  doi                      = {10.1007/978-981-10-2585-3_10},
  abstract                 = {Abstract Mixed-initiative assistants are systems that support humans in their decision-making and problem-solving capabilities in a collaborative manner. Such systems have to integrate various artificial intelligence capabilities, such as knowledge representation, problem solving and planning, learning, discourse and dialog, and human-computer interaction. These systems aim at solving a given problem autonomously for the user, yet involve the user into the planning process for a collaborative decision-making, to respect e.g. user preferences. However, how the user is involved into the planning can be framed in various ways, using different involvement strategies, varying e.g. in their degree of user freedom. Hence, here we present results of a study examining the effects of different user involvement strategies on the user experience in a mixed-initiative system.},
  url_Paper                = {pb/2016/Nothdurft2016UserInvolvement.pdf}
}
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