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All Journal Applied Research and Smart Technology (ARSTech)
Shamsul Bahrin, Muhammad Ikmal Hakim
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Automotive Engineering Computer Science & IT Engineering Materials Science & Nanotechnology Physics

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The effects of robot's social praise on human responses in 2D game Fadli, Nursabrina Suraya; Ghazali, Aimi Shazwani; Shamsul Bahrin, Muhammad Ikmal Hakim
Applied Research and Smart Technology (ARSTech) Vol. 3 No. 2 (2022): Applied Research and Smart Technology
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/arstech.v3i2.1186

Abstract

Human-Robot Interaction (HRI) is an interaction between humans and robots through verbal and/or non-verbal cues. Studies in the HRI field concern the psychological effect, especially reactance, experienced by humans in decision-making situations with robots. This study applied persuasive attempts to investigate the impact of social praise by a social robot on human psychological reactance in a decision-making situation. The robot socially expressed its recognition (an acknowledgement of the existence) and reassurance (the action of removing someone's doubts) towards humans in a game, namely "Survival in Island". Social praise was expressed verbally in adoring human activities, such as 'Good Job' for following the robot's decision-making suggestions. The study randomly divided the participants into two conditions (social praise: presence vs absence) in a between-subject design study. Besides using questionnaires to measure humans' psychological conditions, the level of stress experienced by humans was also collected using a Galvanic Skin Response (GSR) sensor. The results indicated significant effects of social praise on perceived ease of use toward the robot, perceived intention to use the robot again in the future, perceived belief towards the robot and perceived compliance with the robot's suggestions through MANOVA tests. The study did not find other significant psychological and physiological effects of praise.
Enhancing social responses: effects of controlling language by a social robot in a decision-making game for human-robot interaction (HRI) Rosli, Muhammad Azeem; Ghazali, Aimi Shazwani; Shamsul Bahrin, Muhammad Ikmal Hakim
Applied Research and Smart Technology (ARSTech) Vol. 3 No. 2 (2022): Applied Research and Smart Technology
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/arstech.v3i2.1187

Abstract

The rise of technology has induced the development of robots that engage with humans through social interaction. The robot is believed to be capable of assisting humans in their life. However, the current technology is still far from a fully autonomous robot as there are many limitations. Additionally, it is unclear whether the current social robot effectively influences social reactance in Human-Robot Interaction (HRI). The study's objective is to investigate the influence of social cues used by the social robot on human social responses for HRI applications. Also, the study validates the reactance scale used in the questionnaire by correlating the measure with Galvanic Skin Response (GSR) readings. The study proposes a Wizard of Oz (WoZ) approach to observe HRI through decision-making games. A social robot is programmed to persuade participants to make choices. The participants' decisions made during the experiment and their GSR reading are recorded, and then they are asked to answer questionnaires. Statistical analyses are done on the collected data using the regression and MANOVA statistical tests. As a result, there is a significant correlation between GSR reading and enjoyment. Regarding social cues, the participants feel more relaxed when the social robot exhibits social cues in High Controlling Language (HCL) conditions rather than Low Controlling Language (LCL) conditions. Furthermore, the Attitude trait of the social robots greatly influences human perceived social intelligence towards the robot.
Co-Authors Fadli, Nursabrina Suraya Ghazali, Aimi Shazwani Rosli, Muhammad Azeem