An official website of the United States government
Conversational systems typically focus on functional tasks such as scheduling appointments or creating todo lists. Instead we design and evaluate SlugBot (SB), one of 8 semifinalists in the 2018 AlexaPrize, whose goal is to support casual open-domain social inter-action. This novel application requires both broad topic coverage and engaging interactive skills. We developed a new technical approach to meet this demanding situation by crowd-sourcing novel content and introducing playful conversational strategies based on storytelling and games. We collected over 10,000 conversations during August 2018 as part of the Alexa Prize competition. We also conducted an in-lab follow-up qualitative evaluation. Over-all users found SB moderately engaging; conversations averaged 3.6 minutes and involved 26 user turns. However, users reacted very differently to different conversation subtypes. Storytelling and games were evaluated positively; these were seen as entertaining with predictable interactive structure. They also led users to impute personality and intelligence to SB. In contrast, search and general Chit-Chat induced coverage problems; here users found it hard to infer what topics SB could understand, with these conversations seen as being too system-driven. Theoretical and design implications suggest a move away from conversational systems that simply provide factual information. Future systems should be designed to have their own opinions with personal stories to share, and SB provides an example of how we might achieve this.
more »
« less
Topic territoriality and the cost of civility: examining the impact of IP address disclosure on Weibo
Abstract This article introduces the concept of “topic territoriality,” a mechanism that governs participation in conversational spaces. When a discussion becomes prone to territorialization, individuals are more likely to claim topics (participating in discussions about topics they own as “stakeholders”) and defer (reducing participation in topics owned by others). They are also more likely to patrol topic boundaries (monitoring who is participating and confronting topic “intruders”). We document the operation of topic territoriality by analyzing 112,278 conversational turns on Weibo before and after a policy that reveals users’ broad geographic locations. We find that revealing these locations increased territorial behaviors, leading to more homogenous participation in conversations. Although the display of locations has improved the overall civility in language, the confrontations between stakeholders and intruders became more toxic. Our research emphasizes the impact of topic territoriality in online conversations and sheds light on the unintended consequences of social media policies.
more »
« less
- Award ID(s):
- 2106476
- PAR ID:
- 10544091
- Publisher / Repository:
- Oxford University Press
- Date Published:
- Journal Name:
- Journal of Computer-Mediated Communication
- Volume:
- 29
- Issue:
- 6
- ISSN:
- 1083-6101
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
This study investigates the presence of dynamical patterns of interpersonal coordination in extended deceptive conversations across multimodal channels of behavior. Using a novel "devil’s advocate" paradigm, we experimentally elicited deception and truth across topics in which conversational partners either agreed or disagreed, and where one partner was surreptitiously asked to argue an opinion opposite of what he or she really believed. We focus on interpersonal coordination as an emergent behavioral signal that captures interdependencies between conversational partners, both as the coupling of head movements over the span of milliseconds, measured via a windowed lagged cross correlation (WLCC) technique, and more global temporal dependencies across speech rate, using cross recurrence quantification analysis (CRQA). Moreover, we considered how interpersonal coordination might be shaped by strategic, adaptive conversational goals associated with deception. We found that deceptive conversations displayed more structured speech rate and higher head movement coordination, the latter with a peak in deceptive disagreement conversations. Together the results allow us to posit an adaptive account, whereby interpersonal coordination is not beholden to any single functional explanation, but can strategically adapt to diverse conversational demands.more » « less
-
Abstract The EngageAI Institute focuses on AI‐driven narrative‐centered learning environments that create engaging story‐based problem‐solving experiences to support collaborative learning. The institute's research has three complementary strands. First, the institute creates narrative‐centered learning environments that generate interactive story‐based problem scenarios to elicit rich communication, encourage coordination, and spark collaborative creativity. Second, the institute creates virtual embodied conversational agent technologies with multiple modalities for communication (speech, facial expression, gesture, gaze, and posture) to support student learning. Embodied conversational agents are driven by advances in natural language understanding, natural language generation, and computer vision. Third, the institute is creating an innovative multimodal learning analytics framework that analyzes parallel streams of multimodal data derived from students’ conversations, gaze, facial expressions, gesture, and posture as they interact with each other, with teachers, and with embodied conversational agents. Woven throughout the institute's activities is a strong focus on ethics, with an emphasis on creating AI‐augmented learning that is deeply informed by considerations of fairness, accountability, transparency, trust, and privacy. The institute emphasizes broad participation and diverse perspectives to ensure that advances in AI‐augmented learning address inequities in STEM. The institute brings together a multistate network of universities, diverse K‐12 school systems, science museums, and nonprofit partners. Key to all of these endeavors is an emphasis on diversity, equity, and inclusion.more » « less
-
The legacy of career and technical education (CTE) in years past, stretching into the vocational education era, was lower college enrollment after participating in CTE. More recently, others have concluded that college enrollment is not affected but that CTE students enroll more frequently in 2-year degrees over 4-year degrees. I revisit the question with more recent data than has been used by other researchers. I adjust my estimates by the level of academic preparation that students have undergone in high school, known as curricular intensity. I use transcripts from the High School Longitudinal Study of 2009 (HSLS:09) to determine participation in meaningful CTE course sequences, known as programs of study, and then follow the students via the HSLS:09 survey administered in the fall after high school. I find that participation in CTE has no association with a student’s probability of enrolling in college. Further, participating in CTE has no association with a student’s decision to enroll in a two-year or four-year program, after adjusting for curricular intensity. These results are exciting because they allow for the general recommendation of CTE to any interested student, without fear of adverse effects on later educational attainment and the no-harm finding opens the door to many new CTE policy conversations.more » « less
-
The Language, Culture, and Knowledge-building through Science (LaCuKnoS) project tests and refines a model of science teaching and learning that brings together current research on the role of language in science communication, the role of cultural and community connections in science engagement, and the ways people apply science knowledge to their daily decision making. One key component of the model brings families together as co-learners and co-teachers through family learning experiences. We describe our work to promote more robust family conversations about science in our lives within an existing research practice partnership, using a two-tiered qualitative conversational analysis to compare the family conversations that result from three family engagement models: (a) family science festivals; (b) family science workshops; and (c) family science home learning. More specifically, this paper addresses the question: How do families describe and evaluate science in their lives and communities during family conversations that occur during each of these three engagement models? Discourse analysis using the appraisal dimension of systemic functional linguistics highlights the affective components of families evaluating science in their lives, as well as how each model provided unique affordances for different communicative goals. These findings are used to propose a set of design principles to guide the continued exploration of community-sustaining and family-centric models of family engagement as a key strategy for broadening science participation.more » « less
