The Human Interaction Laboratory Datasession will meet on Wednesday 31stOctober 2018 in unit 2580, 200 Boston Ave. Medford, MA 02155.
Data: This special Halloween data session will involve data from Julia Mertens’ collection of Trump/Stern interviews on the Howard Stern radio show between the 90s and the late 2010s. We’re also open to any Trump Whitehouse data you might have transcribed so feel free to bring your own. There might be candy.
Data: Bryanna Hebenstreit (PhD Candidate at the University at Albany, SUNY) will provide video data of an instance where a participant becomes familiar with a floorboard cutting tool on a home refurbishment site. This data provides a look at how participants arrange themselves in relationship to the tool, how participants project their usage of the tool, how other participants are brought into the interaction, and how ‘experienced’ onlookers may anticipate by the embodied conduct of a participant potential consequences of that arrangement and exclaim or otherwise attempt to avert undesirable consequences. Data is in American English.
Here’s a fun two minute interview on @sciam with Sebastian Loth, who used our Ghost In the Machine methodology to study how humans use predictive and incremental language processing to anticipate customer requests.
Data:Dr. Danielle Pillet-Shore (University of New Hampshire) will provide some video data showing the opening phase of face-to-face interactions in casual and institutional encounters. Since the beginning of an encounter is a time of heightened exposure to novel sensory stimuli and also a time of heightened self- and other- awareness and attentiveness, we will consider a collection showing participants engaging in the social action of registering — audibly pointing to a publicly perceivable referent so others share attention on it (i.e., “noticing” and/or “announcing”). Data in American English.
Data: Dr. Emily Hofstetter (Linköping University) will provide some video data recorded during a psychological memory experiment, to be examined as a social interaction. Particularly, some attention will be given to the assessments that are given by experimenters at the close of each trial. The extracts are very short, so a collection will be available. Data are in British English.
Data: Eva Maria Martika (University of Toronto) will provide data from her ongoing research on parent-child interactions among Albanian immigrants in Greece. We will focus on practices Albanian parents use to address their children. The practices of interest are address term inversions and (idiomatic Albanian) endearment expressions. The data are mainly in Albanian with some instances of code-switching in Greek.
Reference: de Beer, C., Carragher, M., van Nispen, K., Hogrefe, K., De Ruiter, J. P., & Rose, M. L. (2017). How much information do people with aphasia convey via gesture? American Journal of Speech-Language Pathology, 26(2), 483-497.
Purpose: People with aphasia (PWA) face significant challenges in verbally expressing their communicative intentions. Different types of gestures are produced spontaneously by PWA, and a potentially compensatory function of these gestures has been discussed. The current study aimed to investigate how much information PWA communicate through 3 types of gesture and the communicative effectiveness of such gestures.
Method: Listeners without language impairment rated the information content of short video clips taken from PWA in conversation. Listeners were asked to rate communication within a speech-only condition and a gesture + speech condition.
Results: The results revealed that the participants’ interpretations of the communicative intentions expressed in the clips of PWA were significantly more accurate in the gesture + speech condition for all tested gesture types.
Conclusion: It was concluded that all 3 gesture types under investigation contributed to the expression of semantic meaning communicated by PWA. Gestures are an important communicative means for PWA and should be regarded as such by their interlocutors. Gestures have been shown to enhance listeners’ interpretation of PWA’s overall communication.
Carola de Beer was funded by a short-term PhD scholarship of the DAAD (German Academic Exchange Service). Katharina Hogrefe was funded by the German Research Foundation (DFG GO 968/3-3). Karin van Nispen was funded by the Jo Kolk Study Fund. Further acknowledgments go to Dr. Kazuki Sekine and Dr. Annett Jorschick for supporting the statistical analysis, to Dr. Abby Foster and Dr. Lucy Knox for their support in the preparatory phase of the experiment, and to the lecturers of the School of Allied Health at La Trobe University who helped with participant recruitment.
Data:Yusuke Arano from Chiba University, Japan provides data of ordinary, face-to-face, social interactions where the interactants share various linguistic repertoires. Particularly we will be looking at “Writing/drawing moments” in interactions which the interactants deal with intersubjective problems in situ. English is mainly spoken in the data.
Data: We will be looking at some transcripts and video data from Adrian Kerrison’s research on the co-production of cheering. This session will focus on video data from inside a college ice hockey Student Section of participants working together to make sense of an in-game event and organize collective responses.