Comparative Data Resample to Predict Subscription Services Attrition Using Tree-based Ensembles

MD Okpor, FO Aghware, MI Akazue… - Journal of Fuzzy …, 2024 - ejournal.ptti.web.id
The digital market today, is rippled with a variety of goods/services that promote
monetization and asset exchange with clients constantly seeking improved alternatives at …

It's not only what you say, but also how you say it: Machine learning approach to estimate trust from conversation

M Li, IM Erickson, EV Cross, JD Lee - Human Factors, 2024 - journals.sagepub.com
Objective The objective of this study was to estimate trust from conversations using both
lexical and acoustic data. Background As NASA moves to long-duration space exploration …

Estimating trust in conversational agent with lexical and acoustic features

M Li, IM Erickson, EV Cross… - Proceedings of the …, 2022 - journals.sagepub.com
As NASA moves to long-duration space exploration operations, there is an increasing need
for human-agent cooperation that requires real-time trust estimation by virtual agents. Our …

[PDF][PDF] Believe It or Not: Acoustic-Prosodic Cues to Trust and Mistrust in Spoken Dialogue

SI Levitan, J Hirschberg - Speech Prosody, 2022 - researchgate.net
Trust is a fundamental component of human-human and humancomputer interaction. In this
work we examine the acousticprosodic features of trust in a corpus of interview dialogues …

Stacked Learning Anomaly Detection Scheme with Data Augmentation for Spatiotemporal Traffic Flow

AP Binitie, CC Odiakaose, MD Okpor… - Journal of Fuzzy …, 2024 - ejournal.ptti.web.id
The digital revolution births transformation in many facets of today's society. Its adoption in
transportation to curb traffic congestion in major cities globally advances smart-city …

[PDF][PDF] Acoustic-Prosodic Cues to Trust and Mistrust in Spanish and English Dialogues

Y Yu, SI Levitan - Proc. SpeechProsody 2024, 2024 - isca-archive.org
Trust between conversational partners is critical for effective communication and
collaboration. While numerous studies have examined spoken cues to deceptive speech to …

[PDF][PDF] Calibrating Trust and Enhancing User Agency in LLM-Based Chatbots through Conversational Styles

M Belosevic, H Buschmeier - CUI@ CHI 2024: Building Trust in CUIs …, 2024 - cui.acm.org
This paper proposes a linguistic approach to trust in text-based conversational agents, such
as LLM-based chatbots like ChatGPT. We argue that linguistic indicators of trust in human …

[图书][B] Measure and Manage Trust in Human-AI Conversations

M Li - 2023 - search.proquest.com
Artificial Intelligence (AI), with its increasing capability and connectivity, extends beyond
limited and well-defined contexts and is integrated into broader societal domains. Examples …

[引用][C] COMPUTATIONAL INFERENCE OF TRUSTWORTHINESS IN SOCIAL FIGURES THROUGH ANALYSIS OF SPEECH ACOUSTIC, TEXTUAL, AND VISUAL …

SMS Shah - 2022 - PhD thesis, RMIT University