Cited by 27Social Robot Interaction and HRITeleoperation and Haptic SystemsVirtual Reality Applications and Impacts

Telepresence and Apparent Agency in Human–Robot Interaction

Takayama, Leila·2015·The Handbook of the Psychology of Communication Technology

Abstract

Telepresence robots are often different in that they typically inherit their agency from the human tele-operators who drive them. Through qualitative field observations and quantitative findings from a series of lab experiments, the author compiles a body of work that points toward the importance of apparent agency and teasing out the factors that influence it. Using a variable-based approach to studying communication technologies, the author looked for design and framing variables that would improve how loudly or quietly people spoke, how safely people would move around, and how much of a teammate the remote coworkers could become. These field studies and experiments represent one slice of the ongoing research in human–robot interaction, human–computer interaction, and computer-supported cooperative work that is moving toward gaining a deeper understanding of robotic telepresence.

Integrity signals

Registry

Crossref · 10.1002/9781118426456.ch7

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Humans exhibit intentional agency, machines display apparent agency, the perception of thinking and acting capacities that machines seem to possess during interaction.

    “Humans exhibit intentional agency, machines display apparent agency, the perception of thinking and acting capacities that machines seem to possess during interaction [24, 169].”
  • The proposed extension accounts for some divergent research findings wherein human-media agent interactions are not consistent with human-human scripts.

    “First, it reconciles the CASA perspective with trends in digital media use and accounts for some divergent research findings wherein human-media agent interactions are not consistent with human-human scripts (e.g., Edwards et al., 2019; Srinivasan & Takayama, 2016; Takayama, 2015).”
  • The proposed extension reconciles the CASA perspective with trends in digital media use.

    “First, it reconciles the CASA perspective with trends in digital media use and accounts for some divergent research findings wherein human-media agent interactions are not consistent with human-human scripts (e.g., Edwards et al., 2019; Srinivasan & Takayama, 2016; Takayama, 2015).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Takayama, L.
Affiliations
Google (United States) (US)
Corresponding author
Takayama, Leila
Venue
The Handbook of the Psychology of Communication Technology
Publisher
Wiley
Published
2015-01-05
Pages
160-175
OpenAlex
W1552160872
Cited by
26
References
39
Citations by year
2026: 5 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 6 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 1
Type
other
Language
en
Open access
closed
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
Keywords
telepresence robots, apparent agency, human-robot interaction, teleoperation, remote collaboration, design variables, speech volume, robot safety, teamwork, computer-supported cooperative work

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review