Effects of Victim Gendering and Humanness on People’s Responses to the Physical Abuse of Humanlike Agents

With the deployment of robots in public realms, researchers are seeing more cases of abusive disinhibition towards robots. Because robots embody gendered identities, poor navigation of antisocial dynamics may reinforce or exacerbate gender-based marginalization. Consequently, it is essential for robots to recognize and effectively head off abuse. Given extensions of gendered biases to robotic agents, as well as associations between an agent\u27s human likeness and the experiential capacity attributed to it, we quasi-manipulated the victim\u27s humanness (human vs. robot) and gendering (via the inclusion of stereotypically masculine vs. feminine cues in their presentation) across four video-recorded reproductions of the interaction. Analysis from 422 participants, each of whom watched one of the four videos, indicates that intensity of emotional distress felt by an observer is associated with their gender identification and support for social stratification, along with the victim\u27s gendering—further underscoring the criticality of robots\u27 social intelligence

Using social robots to encourage honest behaviours

This thesis presents a series of studies to understand if robots can promote more honest behaviours from people, when they are tempted to behave dishonestly. In Study 1 we see that a robot just presenting gaze behaviour inhibits cheating, but a robot doing small talk, does not. In Study 2 we see that participants cheated to an equal extent when doing the task in their homes alone or with a video of a robot looking at them. In Study 3 we find that including situation awareness in a robot (showing awareness of the participant behaviour), decreased cheating across the game. In Study 4 we see that priming participants for their relational self-concept does not enhance the situation awareness effect on cheating. In study 5 and 6 we explore participants perceptions, and we see that people consider it wrong to be dishonest towards a robot. However, they would feel low levels of guilt and justify it by the robots’ lack of capabilities, presence, and a human tendency for dishonesty. When prompted to evaluate what other’s/or their own attitudes would be regarding dishonesty, manipulating the caring behaviour of a robot, it shows no effect and people in general think others would be dishonest and hold themselves in a more neutral stance. Interestingly, people that show more negative attitudes towards robots tend to report that others will act more dishonestly as well as themselves. These are important considerations for the development of robots, in the future, to work alongside with humans.Esta tese apresenta uma série de estudos para perceber se os robôs podem promover comportamentos honestos nas pessoas. No Estudo 1 observa-se que um robô que apenas olha para o utilizador, inibe batota, mas um robô que apresenta algum comportamento verbal não tem o mesmo efeito. No estudo 2, vemos que os participantes fazem batota tanto sozinhos, nas suas casas, como na presença de um vídeo de um robô que simplesmente olha. No Estudo 3 incluindo no robô a capacidade de perceber as jogadas dos participantes e reagir a elas, diminui a batota ao longo do jogo. No Estudo 4 a inclusão de um priming para o auto-conceito relacional não aumenta o efeito encontrado no Estudo 3. Finalmente, no Estudo 5 e 6 exploram-se as perceções das pessoas, e verifica-se que consideram errado ser-se desonesto com um robô, mas reportando baixos níveis de culpa. Justificam a desonestidade por: falta de capacidades no robô, falta de presença e a existência de uma tendência humana para a desonestidade. Quando avaliadas as atitudes que os outros teriam ou eles próprios em ser-se desonesto, manipulando o carácter afetivo do robô, não existem efeitos e as pessoas no geral reportam que os outros serão desonestos mantendo-se a si mesmas numa posição neutra. Curiosamente, os que demonstram atitudes mais negativas face a interagirem com robôs, reportam mais desonestidade. Estas são considerações importantes para o desenvolvimento de robôs para colaborarem com humanos no futuro