Studying mind perception in social robotics implicitly: The need for validation and norming

Download

index.pdf

Date

2023-03-13

Author

Pekçetin, Tuǧçe Nur
Barinal, Badel
Tunç, Jana
Acartürk, Cengiz
Urgen, Burcu A.

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

176
views

77
downloads

The recent shift towards incorporating implicit measurements into the mind perception studies in social robotics has come along with its promises and challenges. The implicit tasks can go beyond the limited scope of the explicit tasks and increase the robustness of empirical investigations in human-robot interaction (HRI). However, designing valid and reliable implicit tasks requires norming and validating all stimuli to ensure no confounding factors interfere with the experimental manipulations. We conducted a lexical norming study to systematically explore the concepts suitable for an implicit task that measures mind perception induced by social robots. Two-hundred seventy-four participants rated an expanded and strictly selected list of forty mental capacities in two categories: Agency and Experience, and in two levels of capacities: High and Low. We used the partitioning around medoids algorithm as an objective way of revealing the clusters. We discussed the diferent clustering solutions in light of the previous fndings. We consulted on frequency-based natural language processing (NLP) on the answers to the open-ended questions. The NLP analyses verifed the signifcance of clear instructions and the presence of some common conceptualizations across dimensions.We proposed a systematic approach that encourages validation and norming studies, which will further improve the reliability and reproducibility of HRI studies.

Subject Keywords

human-robot interaction, implicit association test, mind perception, norming, social robotics

URI

https://hdl.handle.net/11511/102749

DOI

https://doi.org/10.1145/3568162.3577001

Conference Name

18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

The learning and use of traversability affordance using range images on a mobile robot Ugur, Emre; Dogar, Mehmet R.; Cakmak, Maya; Şahin, Erol (2007-04-14) We are interested in how the concept of affordances can affect our view to autonomous robot control, and how the results obtained from autonomous robotics can be reflected back upon the discussion and studies on the concept of affordances. In this paper, we studied how a mobile robot, equipped with a 3D laser scanner, can learn to perceive the traversability affordance and use it to wander in a room filled with spheres, cylinders and boxes. The results showed that after learning, the robot can wander around...
Investigating the role of personality and justice perceptions on social loafing Ülke, Hilal Esen; Bilgiç, Reyhan; Department of Psychology (2006) The main purpose of the study was to investigate the role of Big Five personality dimensions (Extraversion, Conscientiousness, Openness to Experience, Neuroticism and Agreeableness) and justice perceptions (procedural, distributive, informational and interactional justice) on social loafing in a field setting. Another purpose was to explore potential moderation effects of personality and justice dimensions on social loafing. Data was gathered both from employees and their supervisors working in three leadin...
Analysis of the Problem Based Learning Implementations Students and Tutors Perceptions and Actions Ateş, Özlem; Eryılmaz, Ali (2015-03-01) This study aims to analyze the implementation of problem-based learning (PBL) in engineering education regarding perceptions and actions of tutors and students. A case study design was employed in this study. To this end, four tutors, their five PBL modules, and fourteen students were selected. Observations and interviews were used to collect qualitative data. The results indicated that there was a difference between participants’ perception of PBL and their actions during tutorials. Participants’ level of ...
Understanding consumer innovativeness via theory of goal directed behavior: an investigation of factors affecting adoption of online games Baybaş, Gülnur; Yılmaz, Cengiz; Department of Business Administration (2015) This study aims to analyze the factors behind adoption of online games, using a theoretical foundation based mostly on the theory of goal-directed behavior and diffusion of innovations model. Factors affecting the adoption behavior are determined on the basis of the goal directed behavior theory, and differences between adopter categories of online game buyers are investigated by applying Rogers’ diffusion of innovations (DOI) theory. Online survey was conducted to reach target group by using social media a...
A Philosophical approach to upper-level ontologies Satıoğlu, Dilek; Zambak, Aziz Fevzi; Department of Philosophy (2015) The aim of this thesis is to provide a philosophical approach to upper-level ontologies. The ontologies and/or categorical system of Aristotle, Kant, Husserl, and Quine are evaluated in order to give a philosophical understanding of ontologies. After an explanation of the developments in ontology as a new interdisciplinary study, the most well known upper-level ontologies, BFO, DOLCE, SUMO, and Cyc, are analysed technically. In the light of philosophical ontologies and categorical systems, these upper-level...

Citation Formats

T. N. Pekçetin, B. Barinal, J. Tunç, C. Acartürk, and B. A. Urgen, “Studying mind perception in social robotics implicitly: The need for validation and norming,” presented at the 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023, Stockholm, İsveç, 2023, Accessed: 00, 2023. [Online]. Available: https://hdl.handle.net/11511/102749.