Evidence map›Paper›PMID 34760931›Full record

ArticleFrontiers in robotics and AI2021

Together We can Figure It out: Groups Find Hospitality Robots Easier to Use and Interact With Them More than Individuals.

Harrison Preusse, Rebecca Skulsky, Marlena R Fraune, Betsy Bender Stringam

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Harrison PreusseDepartment of Psychology, Intergroup Human-Robot Interaction (iHRI) Lab, New Mexico State University, Las Cruces, NM, United States.
Rebecca SkulskyDepartment of Psychology, New Mexico State University, Las Cruces, NM, United States.
Marlena R FrauneDepartment of Psychology, Intergroup Human-Robot Interaction (iHRI) Lab, New Mexico State University, Las Cruces, NM, United States.
Betsy Bender StringamHotel Restaurant & Tourism Management, New Mexico State University, Las Cruces, NM, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As robots are becoming more prevalent and entering hospitality settings, understanding how different configurations of individuals and groups interact with them becomes increasingly important for catering to various people. This is especially important because group dynamics can affect people's perceptions of situations and behavior in them. We present research examining how individuals and groups interact with and accept a humanoid robot greeter at a real-world café (Study 1) and in an online study (Study 2). In each study, we separately examine interactions of individuals, groups that participants formed after they arrived at the café (new-formed groups), and groups that participants arrived with at the café (pre-formed groups). Results support prior findings that groups are more likely to interact with a public robot than individuals (Study 1). We also report novel findings that new-formed groups interacted more with the robot than pre-formed groups (Study 1). We link this with groups perceiving the robot as more positive and easier to use (Study 2). Future research should examine perceptions of the robot immediately after interaction and in different hospitality contexts.

Indexed as

field studiesgroup dynamicsgroup typehospitality and tourismhuman-robot interaction

Identifiers

PMID34760931
PMCPMC8575124

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.