Overhearers Use Addressee Backchannels in Dialog Comprehension
نویسندگان
چکیده
منابع مشابه
Addressee Backchannels Influence Overhearers' Comprehension of Dialogue
We tested whether overhearers made use of the relationship between specific (e.g. really, oh) and generic (e.g. uh huh, mhm) backchannels and speakers’ talk in online dialogue comprehension. In Experiment 1 we found that words that followed specific backchannels were recognized more slowly than words that followed either generic backchannels or pauses. In Experiment 2 we found that the type of ...
متن کاملA Regression-based Approach to Modeling Addressee Backchannels
During conversations, addressees produce conversational acts—verbal and nonverbal backchannels—that facilitate turn-taking, acknowledge speakership, and communicate common ground without disrupting the speaker’s speech. These acts play a key role in achieving fluent conversations. Therefore, gaining a deeper understanding of how these acts interact with speaker behaviors in shaping conversation...
متن کاملAddressee Backchannels Can Bias Third-Party Memory and Judgment
Information about audiences influence how speakers produce messages, biasing speakers’ own later recall (Higgins & Rholes, 1978), contingent on the creation of a shared reality between interlocutors (Echterhoff, Higgins, & Rholes, 2005). We tested for a similar effect within third party dialogue comprehension, in which overheard addressees displayed evaluative backchannel responses. Participant...
متن کاملUsing Out-of-Domain Data for Lexical Addressee Detection in Human-Human-Computer Dialog
Addressee detection (AD) is an important problem for dialog systems in human-humancomputer scenarios (contexts involving multiple people and a system) because systemdirected speech must be distinguished from human-directed speech. Recent work on AD (Shriberg et al., 2012) showed good results using prosodic and lexical features trained on in-domain data. In-domain data, however, is expensive to ...
متن کاملAddressee detection for dialog systems using temporal and spectral dimensions of speaking style
As dialog systems evolve to handle unconstrained input and for use in open environments, addressee detection (detecting speech to the system versus to other people) becomes an increasingly important challenge. We study a corpus in which speakers talk both to a system and to each other, and model two dimensions of speaking style that talkers modify when changing addressee: speech rhythm and voca...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cognitive Science
سال: 2015
ISSN: 0364-0213
DOI: 10.1111/cogs.12278