Halloween Interaction Lab Data Session: Wednesday 31st October 2018

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.

If you don’t know what a data session is, you can read Saul’s description of learning about Conversation Analytic data sessions, or have a look at this new resource from Arizona State University that discusses language and social interaction data analysis sessions from a variety of methodological/disciplinary perspectives: https://www.learninghowtolookandlisten.com.

See our full list of data sessions on our events page.

RSVP: saul.albert@tufts.edu / 857-222-5992

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Human Interaction Lab Data Session: Wednesday 26th September 2018

The Human Interaction Laboratory Datasession will meet on Wednesday 26th September 2018 in unit 2580, 200 Boston Ave. Medford, MA 02155.

See our full list of data sessions on our events page.

RSVP: saul.albert@tufts.edu / 857-222-5992

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.

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If you’d like information about upcoming data sessions and announcements at the Human Interaction Lab, please subscribe to our mailing list.

The robot bartender will take your order now

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.

https://www.scientificamerican.com/podcast/episode/robot-bartender-will-take-your-order/

The report is based on this paper:

Loth S, Jettka K, Giuliani M, Kopp S, de Ruiter JP (2018) Confidence in uncertainty: Error cost and commitment in early speech hypotheses. PLOS ONE 13(8): e0201516.https://doi.org/10.1371/journal.pone.0201516

Human Interaction Lab Data Session: Wednesday 28th November 2018

The Human Interaction Laboratory Datasession will meet on Wednesday 28th November 2018 in unit 2580, 200 Boston Ave. Medford, MA 02155.

See our full list of data sessions on our events page.

RSVP: saul.albert@tufts.edu / 857-222-5992

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.

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If you’d like information about upcoming data sessions and announcements at the Human Interaction Lab, please subscribe to our mailing list.

Rolf Zwaan and Rich Lucas

In this eighth episode Alex interviews Rolf Zwaan and Rich Lucas during the 2017 SIPS meeting. Rolf Zwaan is professor of Biological and Cognitive Psychology at the Institute of Psychology of Erasmus University Rotterdam. Rich Lucas is professor of Psychology at Michigan State University. They discuss the importance of replication for psychological research, how they incorporate ideas from the psychology reform movement in their own research, and the various perceptions people have of psychology’s reformers.

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Notes and links:

Follow Rolf on twitter: https://twitter.com/RolfZwaan
Follow Rich on twitter: https://twitter.com/rlucas11
Making replication mainstream: https://www.ncbi.nlm.nih.gov/pubmed/29065933
Rich’s blog: http://deskreject.com/
Rolf’s blog: https://rolfzwaan.blogspot.com/
Transparent analysis of pre-existing data: https://psyarxiv.com/zmt3q/
Blog about the Bayesian cops: https://rolfzwaan.blogspot.com/2014/06/whos-gonna-lay-down-law-in-psytown.html

Liz Page-Gould and Alex Danvers

Human Interaction Lab Data Session: Thursday 24th May 2018

The Human Interaction Laboratory Datasession will meet on Thursday 24th May 2018 in unit 2580, 200 Boston Ave. Medford, MA 02155.

See our full list of data sessions on our events page.

RSVP: saul.albert@tufts.edu / 857-222-5992

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.

Keep in touch:

If you’d like information about upcoming data sessions and announcements at the Human Interaction Lab, please subscribe to our mailing list.

Human Interaction Lab Data Session: Thursday 26th April 2018

The Human Interaction Laboratory Datasession will meet on Thursday 26th April 2018 in unit 2580, 200 Boston Ave. Medford, MA 02155.

See our full list of data sessions on our events page.

RSVP: saul.albert@tufts.edu / 857-222-5992

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.

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de Beer, C., Carragher, M., van Nispen, K., Hogrefe, K., De Ruiter, J. P., and Rose, M. L. (2017). How much information do people with aphasia convey via gesture? American Journal of Speech-Language Pathology, 26(2), 483-497.

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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.

Abstract:

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.

Acknowledgments:
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.

Michèle Nuijten and John Sakaluk