NCT07666295

Brief Summary

This study examines how the characteristics and performance of virtual assistants influence user experience in service settings. Approximately 400 adults will interact with virtual assistants presented as avatars, chatbots, or voice assistants in simulated tourism, cultural, retail, or financial service situations. Participants will be exposed to one or more experimental conditions that may differ in features such as communication style, language specificity, anthropomorphism, personalization, type of virtual assistant, level of immersion, or the presence of inaccurate responses or errors. After the interaction, participants will complete questionnaires about their perceptions, emotions, trust, satisfaction, acceptance of recommendations, and intention to use the virtual assistant. During the experimental session, non-invasive methods may be used to measure visual attention and psychophysiological responses. These methods include eye tracking, electrodermal activity, electroencephalography, and automated facial expression analysis. Facial recordings will be used to analyze emotional expressions and will not be used to identify participants. The study does not involve drugs, biological products, medical treatments, diagnostic procedures, or investigational medical devices. Its purpose is to improve scientific understanding of human interaction with artificial intelligence and virtual assistants in service environments.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
400

participants targeted

Target at P75+ for not_applicable

Timeline
16mo left

Started Sep 2026

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 11, 2026

Completed
13 days until next milestone

First Posted

Study publicly available on registry

June 24, 2026

Completed
2 months until next milestone

Study Start

First participant enrolled

September 1, 2026

Expected
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 1, 2028

Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 1, 2028

Last Updated

June 24, 2026

Status Verified

June 1, 2026

Enrollment Period

1.3 years

First QC Date

June 11, 2026

Last Update Submit

June 18, 2026

Conditions

Keywords

Virtual AssistantsArtificial IntelligenceHuman-Computer InteractionUser ExperienceConsumer BehaviorTechnology AcceptanceAnthropomorphismEye TrackingElectrodermal ActivityElectroencephalographyFacial Expression Analysis

Outcome Measures

Primary Outcomes (1)

  • Trust in the Virtual Assistant

    Trust in the virtual assistant will be assessed immediately after the interaction using a pre-specified multi-item questionnaire. Participants will rate each item on a 7-point Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree). An overall trust score will be calculated as the mean of the completed items. Higher scores indicate greater trust in the virtual assistant.

    Immediately after the virtual assistant interaction, during the same experimental session

Secondary Outcomes (5)

  • User Satisfaction With the Virtual Assistant

    Immediately after the virtual assistant interaction, during the same experimental session

  • Intention to Use the Virtual Assistant

    Immediately after the virtual assistant interaction, during the same experimental session

  • Acceptance of the Virtual Assistant Recommendation

    Immediately after the virtual assistant interaction, during the same experimental session

  • Electrodermal Activity During the Virtual Assistant Interaction

    From the start to the end of the virtual assistant interaction, for up to 20 minutes.

  • Visual Attention During the Virtual Assistant Interaction

    Continuously during the virtual assistant interaction, over approximately 20 minutes.

Study Arms (4)

High Anthropomorphism and Accurate Response

EXPERIMENTAL

Participants will interact with a virtual assistant displaying a high level of anthropomorphic features. The virtual assistant will provide accurate and relevant responses during the service interaction.

Behavioral: High AnthropomorphismBehavioral: Accurate Virtual Assistant Response

High Anthropomorphism and Inaccurate Response

EXPERIMENTAL

Participants will interact with a virtual assistant displaying a high level of anthropomorphic features. During the service interaction, the virtual assistant will provide a predefined inaccurate or irrelevant response designed for the experiment.

Behavioral: High AnthropomorphismBehavioral: Inaccurate Virtual Assistant Response

Low Anthropomorphism and Accurate Response

EXPERIMENTAL

Participants will interact with a virtual assistant displaying a low level of anthropomorphic features. The virtual assistant will provide accurate and relevant responses during the service interaction.

Behavioral: Low AnthropomorphismBehavioral: Accurate Virtual Assistant Response

Low Anthropomorphism and Inaccurate Response

EXPERIMENTAL

Participants will interact with a virtual assistant displaying a low level of anthropomorphic features. During the service interaction, the virtual assistant will provide a predefined inaccurate or irrelevant response designed for the experiment.

Behavioral: Low AnthropomorphismBehavioral: Inaccurate Virtual Assistant Response

Interventions

The virtual assistant will display a comparatively high level of human-like visual, vocal, or conversational characteristics, as operationalized in the experimental protocol.

High Anthropomorphism and Accurate ResponseHigh Anthropomorphism and Inaccurate Response

The virtual assistant will display a comparatively low level of human-like visual, vocal, or conversational characteristics, as operationalized in the experimental protocol.

Low Anthropomorphism and Accurate ResponseLow Anthropomorphism and Inaccurate Response

The virtual assistant will provide accurate, relevant, and contextually appropriate information during the simulated service interaction.

High Anthropomorphism and Accurate ResponseLow Anthropomorphism and Accurate Response

The virtual assistant will provide a predefined inaccurate or contextually inappropriate response during the simulated service interaction. The error will be standardized across participants assigned to this condition and will not concern medical, safety-related, or other high-risk information.

High Anthropomorphism and Inaccurate ResponseLow Anthropomorphism and Inaccurate Response

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Adults aged 18 years or older.
  • Able to understand the study information and provide informed consent.
  • Sufficient proficiency in Spanish to understand the instructions and complete the study questionnaires.
  • Able to interact with a computer-based virtual assistant and complete the experimental session.
  • Willing to complete the study procedures, which may include questionnaires, eye tracking, electrodermal activity recording, electroencephalography, and facial expression recording.

You may not qualify if:

  • Younger than 18 years.
  • Unable to understand the study information or provide valid informed consent.
  • Insufficient proficiency in Spanish to understand the instructions or complete the questionnaires.
  • A visual, hearing, motor, or other condition that prevents completion of the specific experimental task and cannot be accommodated by the study procedures.
  • A temporary health condition, discomfort, or technical incompatibility that, according to the study procedures, prevents safe or reliable completion of the experimental session.
  • Previous participation in the same experimental protocol, when prior exposure could influence the study outcomes.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Consumer Behavior Research Laboratory (LICCO), University of Malaga

Málaga, 29013, Spain

Location

MeSH Terms

Conditions

Consumer Behavior

Condition Hierarchy (Ancestors)

Behavior

Central Study Contacts

Sebastián Molinillo Jiménez - Professor of Marketing, PhD

CONTACT

Francisco Rejón-Guardia, Associate professor of marketing, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Masking Details
Participants will not be informed of the specific experimental hypothesis or the alternative conditions. They will be informed that the study examines user interaction with virtual assistants. Investigators conducting the experimental sessions may know the assigned condition.
Purpose
BASIC SCIENCE
Intervention Model
PARALLEL
Model Details: Participants will be assigned to one experimental condition involving interaction with a virtual assistant. The conditions will differ in selected virtual assistant features or interaction outcomes. Each participant will complete the experimental task and the post-interaction outcome assessment under the assigned condition.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate professor of Marketing and Co-Principal Investigator

Study Record Dates

First Submitted

June 11, 2026

First Posted

June 24, 2026

Study Start (Estimated)

September 1, 2026

Primary Completion (Estimated)

January 1, 2028

Study Completion (Estimated)

January 1, 2028

Last Updated

June 24, 2026

Record last verified: 2026-06

Data Sharing

IPD Sharing
Will not share

Individual participant data will not be made publicly available because the study includes potentially sensitive questionnaire, facial recording, eye-tracking, electrodermal activity, and electroencephalography data. Aggregated and fully anonymized results may be shared in scientific publications or institutional repositories, subject to ethical, legal, and data protection requirements.

Locations