Biblio

Filters: Author is Ma, Xiaojuan  [Clear All Filters]
2017-10-18
Yang, Yang, Ma, Xiaojuan, Fung, Pascale.  2017.  Perceived Emotional Intelligence in Virtual Agents. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. :2255–2262.

In March 2016, several online news media reported on the inadequate emotional capabilities of interactive virtual assistants. While significant progress has been made in the general intelligence and functionality of virtual agents (VA), the emotional intelligent (EI) VA has yet been thoroughly explored. We examine user's perception of EI of virtual agents through Zara The Supergirl, a virtual agent that conducts question and answering type of conversational testing and counseling online. The results show that overall users perceive an emotion-expressing VA (EEVA) to be more EI than a non-emotion-expressing VA (NEEVA). However, simple affective expression may not be sufficient enough for EEVA to be perceived as fully EI.

2018-11-28
Ma, Xiaojuan, Cao, Nan.  2017.  Video-Based Evanescent, Anonymous, Asynchronous Social Interaction: Motivation and Adaption to Medium. Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. :770–782.

Danmaku is an emerging socio-digital media paradigm that puts anonymous, asynchronous user-generated scrolling comments on videos. (How) can danmaku afford the illusion and realization of social interactions, if at all possible given its interactional incoherence nature? To answer this question, we collect Chinese danmaku users' reflection on their motivations to use this social service and explore the actual practices that meet the needs. According to a preliminary danmaku usage survey, users consider it as an information seeking and emotion venting channel. Through archival analysis of real-world data, we find that danmaku commentaries are relatively short, video-centric, saturated with emotions, and similar in syntactic and semantic features. Users have developed a set of mechanisms adapted to the medium, to leverage such text-based messages to foster interpersonal and hyperpersonal communication for sharing of facts, thoughts, and feelings.