Abstract
The aim of this paper is to provide a survey on the perception of robot intelligence. After a general overview, the paper specifically focuses on how perceived intelligence varies either between before and after the experiment ('pre-test-post-test variation'), and in subsequent sessions due to habituation. After reviewing the main characteristics of autonomous agents and robots that have been shown in the literature to influence the perception of robot intelligence, papers focusing on the variation in time of perceived intelligence are analyzed in detail. Even if no unanimous conclusion was reached in the literature, evidence suggests that, in general, when a significant variation is detected, perceived intelligence tends to increase from pre-test to post-test evaluations when commercial or more recent robot platforms are used, while it tends to decrease in the case of custom-made or less recent robots. On the other hand, when a significant variation is detected, perceived intelligence seems to increase due to habituation.
| Original language | English |
|---|---|
| Pages (from-to) | 151348-151359 |
| Number of pages | 12 |
| Journal | IEEE Access |
| Volume | 12 |
| DOIs | |
| Publication status | Published - Oct 11 2024 |
Funding
The work of Anara Sandygulova was supported by under Project 11022021CRP1502. The work of Matteo Rubagotti was supported by Nazarbayev University under the Faculty Development Competitive Research Grants Program for 2024 2026 under Grant 201223FD8808. This research was funded by Nazarbayev University under Faculty Development Competitive Research Grants program for 2024-2026, grant no. 201223FD8808 (PI: M. Rubagotti), and under Collaborative Research Project no. 11022021CRP1502 (PI: A. Sandygulova).
| Funders | Funder number |
|---|---|
| Nazarbayev University | 201223FD8808, 11022021CRP1502, 2024 2026 |
Keywords
- Habituation
- human-robot interaction
- perceived intelligence
- pre-test-post-test variation
ASJC Scopus subject areas
- General Computer Science
- General Materials Science
- General Engineering
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