Designing Social Robots for Interaction at Work: Socio-Cognitive Factors Underlying Intention to Work with Social Robots

This paper discusses the effects of robot design (machine- like, humanoid, android) and users’ gender on the intention to work with social robots in the near future. For that purpose, the theoretical framework afforded by the theory of planned behavior (TPB) is used. Results showed effects for robot design and users’ gender. As the robot got more human-like the lower the intention to work with it. Female participants showed lower intention to work with social robots. These effects are mediated by the variables of the TPB. Perceived behavioral control and subjective norm are the main predictors of the intention to work with social robots in the near future

Polish Version of the Negative Attitude Toward Robots Scale (NARS-PL)

This paper presents the Polish adaptation of the Negative Attitude toward Robots Scale (NARS-PL), primarily created by Nomura et al. (2004). 213 individuals participated in the study (49 professionals and 164 non- professionals). The Polish version obtained satisfactory psychometric properties for a two-factor structure. Both subscales, the Negative Attitudes toward Robots that Display Human Traits (NARHT) and the Negative Attitudes toward Interactions with Robots (NATIR) possess good internal consistency. Effects of participant gender and robot’s appearance were found. Theory consistent relationships between attitude toward robots, belief in human nature uniqueness and robots’ human-likeness are discussed