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Exploring the Intersection of Artificial Intelligence and Human Intimacy: A Psychometric Study on the Robot Intimate Receptiveness Scale

Balazadeh, Kitty LU (2023) PSYP01 20231
Department of Psychology
Abstract
Public discussions and scientific inquiries centered around human-robot relationships are rapidly gaining momentum. As artificial intelligence integrates into new social landscapes, corresponding scientific explorations are called for. As of today, there are no psychometric instruments tailored to measure intimate social contact within human-robot contexts. In the light of this gap, the primary objective of this two-study thesis was to develop a novel psychometric scale, Robot Intimate Receptiveness Scale (RIRS), for the assessment of intimate receptiveness towards embodied artificial intelligence and social robots. Across two independent samples (N = 572), the factor-structure, reliability and validity of RIRS was investigated. In Study I... (More)
Public discussions and scientific inquiries centered around human-robot relationships are rapidly gaining momentum. As artificial intelligence integrates into new social landscapes, corresponding scientific explorations are called for. As of today, there are no psychometric instruments tailored to measure intimate social contact within human-robot contexts. In the light of this gap, the primary objective of this two-study thesis was to develop a novel psychometric scale, Robot Intimate Receptiveness Scale (RIRS), for the assessment of intimate receptiveness towards embodied artificial intelligence and social robots. Across two independent samples (N = 572), the factor-structure, reliability and validity of RIRS was investigated. In Study I (N = 261), exploratory factor analysis demonstrated a three-factor model with satisfactory model fit. In Study II (N = 311), the factor solution was further tested with confirmatory factor analysis and structural equation modeling, demonstrating an overall good model fit and a higher order latent variable. Additionally, RIRS demonstrated indications of convergence and divergence over existing human-robot interaction scales. Discussions involve the validity of the proposed conceptual framework, its performance in formal statistical testing, as well as potential limitations related to the present scale-development process. Further conceptual refinement and validation, as well as the use of other statistical analyses are recommended for future explorations of RIRS. (Less)
Abstract (Swedish)
Fokus på offentliga diskussioner och vetenskapliga utforskningar som berör intim
human-robot-interaction blir alltmer framträdande. Likväl saknas det psykometriska instrument avsedda för explorationen av intim social kontakt mellan människa och social robot. Det övergripande syftet med denna studie var att utveckla ett nytt psykometriskt test, Robot Intimate Receptiveness Scale (RIRS) för undersökningar kring intim mottaglighet gentemot förkroppsligad artificiell intelligens och sociala robotar. Genom två oberoende urval (N = 572), undersöktes RIRS faktorstruktur, reliabilitet och validitet. I Studie I (N = 261) demonstrerade exploratory factor analysis en trefaktormodell med tillfredsställande model fit. I Studie II (N =311) testades... (More)
Fokus på offentliga diskussioner och vetenskapliga utforskningar som berör intim
human-robot-interaction blir alltmer framträdande. Likväl saknas det psykometriska instrument avsedda för explorationen av intim social kontakt mellan människa och social robot. Det övergripande syftet med denna studie var att utveckla ett nytt psykometriskt test, Robot Intimate Receptiveness Scale (RIRS) för undersökningar kring intim mottaglighet gentemot förkroppsligad artificiell intelligens och sociala robotar. Genom två oberoende urval (N = 572), undersöktes RIRS faktorstruktur, reliabilitet och validitet. I Studie I (N = 261) demonstrerade exploratory factor analysis en trefaktormodell med tillfredsställande model fit. I Studie II (N =311) testades faktormodellen vidare med confirmatory factor analysis och structural equation modeling som påvisade en god model fit, och en generell överordnad faktor. Därutöver, visade skalan konvergens och divergens med andra skalor inom human-robot-interaction. Det
konceptuella ramverkets validitet och potentiella begränsningar rörande
skalutvecklingsprocessen diskuteras. Framtida efterforskningar uppmanas att implementera fler statistiska analyser och granska valideringen av RIRS ytterligare. (Less)
Please use this url to cite or link to this publication:
author
Balazadeh, Kitty LU
supervisor
organization
course
PSYP01 20231
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Human-robot interaction, artificial intelligence, social robots, scale development, Robot Intimate Receptiveness Scale, RIRS, människa-robot-interaktion, artificiell intelligens, sociala robotar
language
English
id
9136493
date added to LUP
2023-09-06 15:37:42
date last changed
2024-01-02 09:22:53
@misc{9136493,
  abstract     = {{Public discussions and scientific inquiries centered around human-robot relationships are rapidly gaining momentum. As artificial intelligence integrates into new social landscapes, corresponding scientific explorations are called for. As of today, there are no psychometric instruments tailored to measure intimate social contact within human-robot contexts. In the light of this gap, the primary objective of this two-study thesis was to develop a novel psychometric scale, Robot Intimate Receptiveness Scale (RIRS), for the assessment of intimate receptiveness towards embodied artificial intelligence and social robots. Across two independent samples (N = 572), the factor-structure, reliability and validity of RIRS was investigated. In Study I (N = 261), exploratory factor analysis demonstrated a three-factor model with satisfactory model fit. In Study II (N = 311), the factor solution was further tested with confirmatory factor analysis and structural equation modeling, demonstrating an overall good model fit and a higher order latent variable. Additionally, RIRS demonstrated indications of convergence and divergence over existing human-robot interaction scales. Discussions involve the validity of the proposed conceptual framework, its performance in formal statistical testing, as well as potential limitations related to the present scale-development process. Further conceptual refinement and validation, as well as the use of other statistical analyses are recommended for future explorations of RIRS.}},
  author       = {{Balazadeh, Kitty}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Exploring the Intersection of Artificial Intelligence and Human Intimacy: A Psychometric Study on the Robot Intimate Receptiveness Scale}},
  year         = {{2023}},
}