• Corpus ID: 218611060

Voice-Based Conversational Agents for Older Adults

@inproceedings{Johnson2020VoiceBasedCA,
  title={Voice-Based Conversational Agents for Older Adults},
  author={Janet H. Johnson and Khalil Mrini},
  year={2020}
}
Copyright held by the owner/author(s). CHI’20,, April 25–30, 2020, Honolulu, HI, USA ACM 978-1-4503-6819-3/20/04. https://doi.org/10.1145/3334480.XXXXXXX Abstract Most older adults are reluctant to move out of their homes as they age, but multiple chronic conditions and reduced cognitive and physical abilities make living independently extremely challenging. With our population aging rapidly, enabling older adults to take an active role in their health and remain independent while staying at… 
voli.ucsd.edu
8 Citations
Background Citations
3

Figures from this paper

8 Citations

Medical Question Understanding and Answering for Older Adults

Aging is one of the most significant social transformations in the 21st century [13] and enhancing the Quality of Life (QoL) of the aging population is crucial. In the US, around 49.2 million people…

A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results

A conversational agent that adopts one aspect of in-person doctor-patient interactions: A human avatar to facilitate medical grounded question answering and multiple interaction modes that could help improve adherence are presented.

Empowering Dyads of Older Adults With Mild Cognitive Impairment And Their Care Partners Using Conversational Agents

It is found that CAs empowered both the people who had MCI, and their care partners, and the utility of the CA in the day-to-day lives of users largely depended on how much the care partner scaffolded promising functionality, setting it up and contextualizing it for specific needs and desires.

Understanding Barriers and Design Opportunities to Improve Healthcare and QOL for Older Adults through Voice Assistants

This work identified 12 barriers that older adults might encounter during daily routine and while managing health and highlighted key design challenges and opportunities that might be introduced when integrating voice-based IVAs into the life of older adults.

Toward a Unified Metadata Schema for Ecological Momentary Assessment with Voice-First Virtual Assistants

A unified metadata schema is proposed that models EMA questions and the necessary attributes to effectively and efficiently integrate voice as a new EMA modality and allows user experience researchers to write simple rules that can be rendered at run-time, instead of having to edit the source code.

Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision

A medical question understanding and answering system with knowledge grounding and semantic self-supervision is introduced, a pipeline that first summarizes a long, medical, user-written question, using a supervised summarization loss, and performs a two-step retrieval to return answers.

Recursive Tree-Structured Self-Attention for Answer Sentence Selection

The ability of tree-structured models to successfully absorb syntactic information is strongly correlated with a higher performance in AS2, and a new state of the art on the popular TrecQA and WikiQA benchmark datasets is established.

A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding

This work establishes an equivalence between the tasks of question summarization and Recognizing Question Entailment using their definitions in the medical domain, and proposes a data augmentation algorithm to use just one dataset to optimize for both tasks, with a weighted MTL loss.

14 References

Speech Input from Older Users in Smart Environments: Challenges and Perspectives

This paper focuses on a particularly thorny problem: processing speech input from older users, and shows clearly that there needs to be age-specific adaptation in order to recognize older users' speech reliably.

Development and evaluation of a healthy coping voice interface application using the Google home for elderly patients with type 2 diabetes

This project proposes Healthy Coping with Diabetes, a Google Home assistant application that acts as an innovative intervention strategy to assist elderly patients with self-management of type 2 diabetes and calculates standard usability metrics to receive feedback and further improve the application capabilities.

Wizard of Wikipedia: Knowledge-Powered Conversational agents

The best performing dialogue models are able to conduct knowledgeable discussions on open-domain topics as evaluated by automatic metrics and human evaluations, while a new benchmark allows for measuring further improvements in this important research direction.

Virtual Agents as Daily Assistants for Elderly or Cognitively Impaired People - Studies on Acceptance and Interaction Feasibility

Interaction studies with a prototype demonstrate the feasibility of spoken-language interaction and reveal strategies to mitigate understanding problems in elderly users as well as cognitively impaired users.

Voice‐Controlled Intelligent Personal Assistants to Support Aging in Place

This research sought to explore how older adults and caregivers utilize VIPAs, and voice‐controlled intelligent personal assistants (VIPAs) potentially could support unmet home needs.

Health dialog systems for patients and consumers

Aging and vocabulary scores: a meta-analysis.

Both age and education were found to be partially independent determinants of performance in production tests; age effects disappeared in multiple-choice tests as soon as education was taken into account.

Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review

An interdisciplinary literature review to determine the extent to which the active technological capabilities of dynamic and adaptive information processing are being applied in behavior change interventions and to identify their role in these interventions.

On the Tip-of-the-Tongue: Neural Correlates of Increased Word-finding Failures in Normal Aging

MRI images provide, for the first time, an association between a region in the neural language system and the rise in age-related word-finding failures and suggest thatAge-related atrophy in neural regions important for phonological production may contribute to age- related word production failures.

The global burden of multiple chronic conditions: A narrative review