TY - GEN
T1 - User involvement in collaborative decision-making dialog systems
AU - Nothdurft, Florian
AU - Bercher, Pascal
AU - Behnke, Gregor
AU - Minker, Wolfgang
N1 - Publisher Copyright:
© Springer Science+Business Media Singapore 2017.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Cooperative decision-making
KW - Dialogue systems
KW - Human-computer interaction
KW - User experience
UR - http://www.scopus.com/inward/record.url?scp=85009445534&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-2585-3_10
DO - 10.1007/978-981-10-2585-3_10
M3 - Conference contribution
SN - 9789811025846
T3 - Lecture Notes in Electrical Engineering
SP - 129
EP - 141
BT - Dialogues with Social Robots - Enablements, Analyses, and Evaluation
A2 - Jokinen, Kristiina
A2 - Wilcock, Graham
PB - Springer Verlag
T2 - 7th International Workshop on Spoken Dialogue Systems, IWSDS 2016
Y2 - 13 January 2016 through 16 January 2016
ER -