@misc{Lang, type = {Master Thesis}, author = {Lang, Kevin}, title = {Argument Search with Voice Assistants}, doi = {10.25643/bauhaus-universitaet.3935}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20190617-39353}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {100}, abstract = {The need for finding persuasive arguments can arise in a variety of domains such as politics, finance, marketing or personal entertainment. In these domains, there is a demand to make decisions by oneself or to convince somebody about a specific topic. To obtain a conclusion, one has to search thoroughly different sources in literature and on the web to compare various arguments. Voice interfaces, in form of smartphone applications or smart speakers, present the user with natural conversations in a comfortable way to make search requests in contrast to a traditional search interface with keyboard and display. Benefits and obstacles of such a new interface are analyzed by conducting two studies. The first one consists of a survey for analyzing the target group with questions about situations, motivations, and possible demanding features. The latter one is a wizard-of-oz experiment to investigate possible queries on how a user formulates requests to such a novel system. The results indicate that a search interface with conversational abilities can build a helpful assistant, but to satisfy the demands of a broader audience some additional information retrieval and visualization features need to be implemented.}, subject = {Amazon Alexa}, language = {en} }