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Age-Related Differences in the Perception of Eye-Gaze from a Social Robot

Lucas Morillo-Mendez, Martien G. S. Schrooten, Oscar Martinez Mozos

TL;DR

This paper investigates the performance of older adults, as compared to younger adults, during a controlled, online (visual search) task inspired by daily life activities, while assisted by a social robot and examines age-related differences in social perception.

Abstract

There is an increasing interest in social robots assisting older adults during daily life tasks. In this context, non-verbal cues such as deictic gaze are important in natural communication in human-robot interaction. However, the sensibility to deictic-gaze declines naturally with age and results in a reduction in social perception. Therefore, this work explores the benefits of deictic gaze from social robots assisting older adults during daily life tasks, and how age-related differences may influence their social perception in contrast to younger populations. This may help on the design of adaptive age-related non-verbal cues in the Human-Robot Interaction context.

Age-Related Differences in the Perception of Eye-Gaze from a Social Robot

TL;DR

This paper investigates the performance of older adults, as compared to younger adults, during a controlled, online (visual search) task inspired by daily life activities, while assisted by a social robot and examines age-related differences in social perception.

Abstract

There is an increasing interest in social robots assisting older adults during daily life tasks. In this context, non-verbal cues such as deictic gaze are important in natural communication in human-robot interaction. However, the sensibility to deictic-gaze declines naturally with age and results in a reduction in social perception. Therefore, this work explores the benefits of deictic gaze from social robots assisting older adults during daily life tasks, and how age-related differences may influence their social perception in contrast to younger populations. This may help on the design of adaptive age-related non-verbal cues in the Human-Robot Interaction context.
Paper Structure (11 sections, 3 figures, 2 tables)

This paper contains 11 sections, 3 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Related Work
  3. Methods
  4. Scenario
  5. Materials
  6. Experimental Design
  7. Sample
  8. Procedure
  9. Results
  10. Discussion and Conclusion
  11. Acknowledgments.

Figures (3)

  • Figure 1: Experimental layout.
  • Figure 2: Structure of the experiment for a participant i. The letter 'B' represents the bread, while 'In. x' represents ingredient in position x. 'Q' refers to the questionnaire.
  • Figure 3: A) Mean Reaction Time (left) and Task Completion Time (right) for each group. B) Violin plots with means in red of the proportional differences between robots. Error bars show 95% bootstrapped confidence intervals.