Cited by 265AI in Service InteractionsSocial Robot Interaction and HRIDigital Marketing and Social Media

Artificial Intelligence and the New Forms of Interaction: Who Has the Control When Interacting with a Chatbot?

Open access
Pizzi, Gabriele, Scarpi, Daniele, Pantano, Eleonora·2021·Journal of Business Research

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jbusres.2020.11.006

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • A significant body of literature examines anthropomorphism, modality, warmth/competence cues, and initiation patterns, frequently demonstrating impacts on satisfaction, social presence, or reactance in controlled environments.

    “A significant body of literature examines anthropomorphism, modality, warmth/competence cues, and initiation patterns, frequently demonstrating impacts on satisfaction, social presence, or reactance in controlled environments [8,24].”

    From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [24]

    The indexed Abstract (page unavailable) reports two studies in which assistants’ anthropomorphic appearance and initiation pattern affected psychological reactance, with downstream effects on satisfaction. It does not address modality, warmth/competence cues, or social presence, so it supports only part of the broad statement attributed to this source. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Experiments confirm autonomy to powerlessness/reactance mechanisms and interface-driven reactance shifts, whereas surveys focus on usefulness/satisfaction/trust chains.

    “This disparity is evident in both experimental and survey methodologies: experiments confirm autonomy → powerlessness/reactance mechanisms [23,40] and interface-driven reactance shifts [24], whereas surveys focus on usefulness/satisfaction/trust chains [42,44,69].”
  • Non-anthropomorphic, computer-initiated assistants are more prone to reactance in consumers yet enhance levels of satisfaction due to improved performance certainty.

    “Pizzi et al. [24] found in another study that non-anthropomorphic, computer-initiated assistants are more prone to reactance in consumers yet enhance levels of satisfaction due to improved performance certainty.”

    From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as Pizzi et al. [24]

    The indexed copy contains a repository listing for the article and its PDF (section “Abstract > 1.01 Articolo in rivista”), but no study text addressing the claim. Searches for reactance, anthropomorphism, satisfaction, and performance certainty found no relevant passage, so the reported finding cannot be checked against our copy. (LLM, conf=0.72)

    Experimental — accuracy not yet measured
  • As systems move toward truly agentic, transaction-executing commerce, the main limitation is measurement: a significant portion of the evidence deduces delegation from adoption or continuation intentions, rather than from direct observation of explicit delegation choices or verified execution.

    “As systems move toward truly agentic, transaction-executing commerce [24,40,44,45,50,52,67], the main limitation is measurement: a significant portion of the evidence deduces delegation from adoption or continuation intentions, rather than from direct observation of explicit delegation choices or verified execution.”

    From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [24]

    Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • Design and channel factors (voice vs. text; initiation mode; anthropomorphic cues) influence perceived control and social presence, occasionally altering the direction of effects through reactance or satisfaction mechanisms.

    “Fourth, design and channel factors (voice vs. text; initiation mode; anthropomorphic cues) influence perceived control and social presence, occasionally altering the direction of effects through reactance or satisfaction mechanisms [7,24,31,32,52].”

    From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [24]

    The indexed passages are a repository entry identifying the article and linking to a PDF, not passages from the article’s body; no page-numbered findings are available. Searches for perceived control, social presence, voice versus text, initiation mode, anthropomorphic cues, reactance, and satisfaction found no passage addressing the claimed effects. (LLM, conf=0.74)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Pizzi, G., Scarpi, D., & Pantano, E.
Affiliations
  • University of Bologna (IT)
  • University of Bristol (GB)
Corresponding author
Pizzi, Gabriele
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2021-05
Volume
129
Pages
878-890
ISSN
0148-2963 (ISSN-L)
OpenAlex
W3105280530
Cited by
265
References
18
Citations by year
2026: 46 · 2025: 83 · 2024: 47 · 2023: 40 · 2022: 38 · 2021: 11
FWCI
8.75
Type
journal article
Language
en
Open access
Locations
  • Journal of Business Research (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by-nc-nd)
  • Bristol Research (University of Bristol) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
Keywords
chatbots, anthropomorphism, reactance, customer satisfaction, decision difficulty, virtual assistants

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