This paper explores contract cheating from the perspectives of researchers at three post-secondary institutions in Alberta, Canada, describing their efforts to develop and advance awareness of, interventions against, and responses to contract cheating at their respective institutions. Contract cheating is when a third party produces or completes academic work for a student, and the student then presents the work as their own. The student might have personal connections to the third party, or the student might pay a fee and outsource (...) the academic work to the third party. All three institutions are experiencing an increase in the incidence of contract cheating, which is consistent with trends at colleges and universities across Canada and the world. Contract cheating is not a new phenomenon, but it is a growing one, due in part to students having access to thousands of online companies offering to help them with their academic work. This paper examines personal narratives from four researchers and identifies five key themes: types of contract cheating, students, awareness, evidence and policy implications, and educational development. (shrink)

Using artificial emotions helps in making human-robot interaction more personalised, natural, and so more likeable. In the case of humanoid robots with constrained facial expression, the literature concentrates on the expression of emotions by using other nonverbal interaction channels. When using multi-modal communication, indeed, it is important to understand the effect of the combination of such non-verbal cues, while the majority of the works addressed only the role of single channels in the human recognition performance. Here, we present an attempt (...) to analyse the effect of the combination of different animations expressing the same emotion or different ones. Results show that when an emotion is successfully expressed using a single channel, the combination of this channel with other animations, that may have lower recognition rates, appears to be less communicative. (shrink)

Using artificial emotions helps in making human-robot interaction more personalised, natural, and so more likeable. In the case of humanoid robots with constrained facial expression, the literature concentrates on the expression of emotions by using other nonverbal interaction channels. When using multi-modal communication, indeed, it is important to understand the effect of the combination of such non-verbal cues, while the majority of the works addressed only the role of single channels in the human recognition performance. Here, we present an attempt (...) to analyse the effect of the combination of different animations expressing the same emotion or different ones. Results show that when an emotion is successfully expressed using a single channel, the combination of this channel with other animations, that may have lower recognition rates, appears to be less communicative. (shrink)