[PDF] Top 20 An Analysis of Older Users’ Interactions with Spoken Dialogue Systems
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An Analysis of Older Users’ Interactions with Spoken Dialogue Systems
... which older users interact is a Spoken Dialogue System (SDS), which accepts speech input and produces speech output (Wolters et ...many older users’ cognitive and perceptual ... See full document
6
Importance Driven Turn Bidding for Spoken Dialogue Systems
... Policy analysis shows that the IDTB system takes advantage of this information by using moderate bids —neither highest nor lowest bids— to filter users based on their turn ...the dialogue; final ... See full document
9
Dialogue Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems
... in spoken dialogue ...in spoken dialogue ...real dialogue systems, is much more complicated than pure text-based ...on dialogue-system-oriented review analysis and ... See full document
9
Automatic Detection of Miscommunication in Spoken Dialogue Systems
... matic analysis of dialogue system interaction ...across dialogue systems were automatically extracted from the system logs (of ASR, NLU and NLG modules) and the manual ...logue systems ... See full document
10
Characterizing and Predicting Corrections in Spoken Dialogue Systems
... other systems, spoken dialogue systems (SDS) tend to have more difficulties in correctly interpreting user ...button, interactions between a user and a spoken dialogue ... See full document
22
Toward Construction of Spoken Dialogue System that Evokes Users’ Spontaneous Backchannels
... of analysis on backchannels, few practical dialogue systems have made use of ...that users do not react as spon- taneously to dialogue systems as they do to other ...vide ... See full document
7
On Quality Ratings for Spoken Dialogue Systems – Experts vs Users
... work, users or user raters are people who actually perform a dialogue with the system and ap- ply ratings while doing ...or Spoken Dialogue Systems: They may be novices or have a high ... See full document
10
Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
... that users are mostly unknown to the system and therefore that a spoken dialogue system (SDS) must be capable of observing the user’s dialogue behaviour, modelling his/her do- main knowledge, ... See full document
10
A Fully Annotated Corpus for Studying the Effect of Cognitive Ageing on Users’ Interactions with Spoken Dialogue Systems
... After each interaction, users were asked to rate the sys- tem using a 39-item questionnaire. This questionnaire was based on the ITU-T recommendation P.851 as implemented in (M¨oller et al., 2007), one of the ... See full document
7
Corpus Analysis of Spoken Smart-Home Interactions with Older Users
... that users adapt their speaking style to suit the system’s requirements in their second interaction regardless of the type of help prompt they received in the first ...Overall, older users tend to ... See full document
6
PyDial: A Multi domain Statistical Dialogue System Toolkit
... statistical dialogue systems would enable peo- ple new to the field would be able to get involved more easily, results to be compared more easily, and researchers to focus on their specific research ... See full document
6
Usability Testing of Spoken Conversational Systems
... speech interactions are think-aloud techniques. Users simply cannot speak to describe their reactions and opinions to a spoken interaction while that interaction is in ...that users may have ... See full document
9
DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems
... our dialogue act tag- ging scheme and others that have been proposed is in our expan- sion of the two-way distinction between dialogue tout simple ...immediate dialogue goals, meta-dialogue ... See full document
8
Alex: Bootstrapping a Spoken Dialogue System for a New Domain by Real Users
... Spoken dialogue systems have been a topic of research for the past several decades, and many experimental systems were developed and tested with users (Walker et ...mental ... See full document
5
11th Conference of the European Chapter of the Association for Computational Linguistics
... elling, spoken dialog systems; Rob Gaizauskas (Sheffield, UK)—Question answering, in- formation extraction, information retrieval; Mirella Lapata (Edinburgh, UK)—Semantics, including lexical semantics, ... See full document
17
Learning to Compose Effective Strategies from a Library of Dialogue Components
... learned dialogue policy with a pol- icy which was independently hand-designed by ex- perts 2 for this ...the dialogue and a commitment question at the end of the ... See full document
8
Detecting Inappropriate Clarification Requests in Spoken Dialogue Systems
... Lendvai et al. (2002) apply machine learning methods to detect errors in human-machine di- alogue, focusing on predicting when a user ut- terance causes a misunderstanding. Litman et al. (2006) identify user corrections ... See full document
5
Book Reviews: Spoken Natural Language Dialogue Systems: A Practical Approach
... While this kind of limi- tation is fairly standard for written dialogue systems involved in query-answering, it detracts from the flexibility of spoken dialogue b y not allowing followup[r] ... See full document
5
Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for Email
... Learning Optimal Dialogue Strategies A Case Study of a Spoken Dialogue Agent for Email Learning Optimal Dialogue Strategies A Case Study of a Spoken Dialogue Agent for Email Marilyn A Walker walker @[.] ... See full document
7
Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
... for spoken dialogue ...where users may not know the technical ‘jargon’ names of the do- main ...cases, dialogue sys- tems must be able to model the user’s (lex- ical) domain knowledge and use ... See full document
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