mlsanityData to 13 Oct 2026

TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening

arXiv 2202.08216 ↗First posted 16 Feb 2022cs.HC cs.AI cs.SDcited by 3

Not on the map. Why?

Abstract (arXiv)

Conversational agents (CAs) have the great potential in mitigating the clinicians' burden in screening for neurocognitive disorders among older adults. It is important, therefore, to develop CAs that can be engaging, to elicit conversational speech input from older adult participants for supporting assessment of cognitive abilities. As an initial step, this paper presents research in developing the backchanneling ability in CAs in the form of a verbal response to engage the speaker. We analyzed 246 conversations of cognitive assessments between older adults and human assessors, and derived the categories of reactive backchannels (e.g. "hmm") and proactive backchannels (e.g. "please keep going"). This is used in the development of TalkTive, a CA which can predict both timing and form of backchanneling during cognitive assessments. The study then invited 36 older adult participants to evaluate the backchanneling feature. Results show that proactive backchanneling is more appreciated by participants than reactive backchanneling.

Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). Builds on 4 of its 110 references that are in the map. First posted on arXiv 16 Feb 2022.

Builds on

4 of 110 references.

References · 4

  1. 2017Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictorcited by 12
  2. 2021Exploring Semi-Supervised Learning for Predicting Listener Backchannelscited by 6
  3. 2020Identification of Dementia Using Audio Biomarkerscited by 3
  4. 2019Older Adults and Voice Interaction: A Pilot Study with Google Homecited by 2

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.