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Open AccessJournal ArticleDOI

Human agency beliefs affect older adults' interaction behaviours and task performance when learning with computerised partners

TLDR
It is suggested that beliefs about agency affect how efficiently and how accurately older adults learn with technology, which has implications for computer mediated support in aging.
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This article is published in Computers in Human Behavior.The article was published on 2019-12-01 and is currently open access. It has received 5 citations till now. The article focuses on the topics: Collaborative learning & Task (project management).

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Citations
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Journal ArticleDOI

Influences on medical app adoption by patients: the unified theory of acceptance and use of technology model and the moderating effects of technology readiness

TL;DR: In this article, the authors investigated the factors influencing the adoption of medical apps by hospital patients, and found that patients have begun to provide their own apps to improve the efficiency of hospital services.
Proceedings ArticleDOI

Conversational Agents for Elderly Interaction

TL;DR: In this article, the authors analyzed the use of conversational agents and the main types of personalization used during interacting with the elderly and found that these solutions may have a positive impact on elderly's life.
Proceedings Article

Towards Human-Based Models of Behaviour in Social Robots: Exploring Age-Related Differences in the Processing of Gaze Cues in Human-Robot Interaction.

TL;DR: Towards human-based models of behaviour in social robots: Exploring age-related differences in the processing of gaze cues in human-robot interaction.
Journal ArticleDOI

Effects of social skills on lexical alignment in human-human interaction and human-computer interaction

TL;DR: The authors investigated whether speakers converge with their conversational partner on lexical choices (i.e., lexical alignment) to the same extent when they believed the partner was a human (human-human interaction, HHI) and when they were a computer (humancomputer interaction), and whether the strength of lexical alignments is moderated by individuals' social skills in the same fashion in HHI and HCI.
Book ChapterDOI

A Human or a Computer Agent: The Social and Cognitive Effects of an e-Learning Instructor's Identity and Voice Cues

TL;DR: In this article , the authors examined the effects of an e-learning instructor's identity and voice cues on an instructor's social ratings, learners' cognitive load, and learning performance.
References
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Journal ArticleDOI

A strategy for information presentation in spoken dialog systems

TL;DR: Experimental results show that basing the content structuring and content selection process on a user model increases the efficiency and effectiveness of the user's interaction, and participants found that the user-model based system presents complex trade-offs understandably and increases overall user satisfaction.
Journal ArticleDOI

Route instructions in map-based human-human and human-computer dialogue: A comparative analysis

TL;DR: This paper investigates the strategies people use to convey route information in relation to a map by presenting two parallel studies involving human-human and human-computer interaction and reveals that speakers produce systematically different instructions with respect to perspective choice and references to locations across levels of granularity.

What are the likely changes in society and technology which will impact upon the ability of older adults to maintain social (extra-familial) networks of support now, in 2025 and in 2040?

TL;DR: In this paper, the authors reviewed evidence on how changes in information and communication technology might affect the ability of older people to maintain social networks of support, considering both traditional and new forms of social media, along with technological advances in support such as robotics and telecare.
Journal ArticleDOI

User Requirements for Technology to Assist Aging in Place: Qualitative Study of Older People and Their Informal Support Networks.

TL;DR: Older adults and their informal support networks may be receptive to technology that monitors older adults within the home if it enables aging in place for longer, but cost, privacy, security, and usability barriers would need to be considered and the system should be individualizable to older adults’ changing needs.
Journal ArticleDOI

Human agency beliefs influence behaviour during virtual social interactions

TL;DR: Researchers and developers attempting to simulate social interactions should consider the impact of agency beliefs on user experience in other social contexts, and their effect on the achievement of the application’s goals.
Related Papers (5)
Frequently Asked Questions (13)
Q1. What are the contributions in this paper?

For instance, this paper found that older adults are more likely to become anxious around computers, and computer anxiety is an important predictor of computer use. 

There may be differences in the recall of this information after a longer delay, and future research should focus on the influence of human and computer learning partners on longer-term recall. Future studies may focus on whether the approachability and friendliness of perceived human interlocutors has a role in how well older adults interact and learn. Despite these limitations, their results indicate that beliefs about agency play an important role in human-computer dialogue and highlight the need for future research in this area. 

In line with human Barrier Task research, in order to minimise inter-trial noise, the nine trials were collapsed into three trial bins, each representing three consecutive trials. 

The interaction between the early trials and condition suggests that while initial interactions with the computer partner are quicker, participants show a greater overall decrease in the time taken to complete trials in the human partner condition. 

Higher levels of computer literacy and internet use in older adults are significantly predictors of psychological well-being, reduced loneliness, and higher life satisfaction (González, Ramírez & Viadel, 2015; Heo, Chun, Lee, Lee & Kim, 2015; Gardiner, Geldenhuys & Gott, 2018). 

In a within-subjects design, twenty-four older adults aged 60-85 years completed a collaborative learning task with both the human and computer systems. 

It is also important to note that the social manner of the computer may play a role in how people interact and learn from them, and increased computer sociability may create a more human-like alliance with an agent (Vardoulakis et al., 2012). 

Participants believed that they were interacting with a human partner in one condition and a computer partner in another condition and their interactive behaviours, performance, and later recall were assessed. 

As beliefs about agency have an impact on how older adults interact with and learn from systems, researchers and software designers should take this into account when creating systems designed to interact with and assist older adults. 

Advanced computer systems are now relatively inexpensive and therefore increasingly used by people, organisations, and corporations (Caruana, Spirou, & Brock, 2017). 

Wilcoxon signed-ranks (V = 17, p < 0.05, d = 0.55) revealed that, one hour later, participants recalled significantly more tangram descriptions in the human condition compared to the computer condition. 

The Computerised Barrier Task yields two dependent variables relating to interactionwith the system; time taken to complete the task and number of interactive turns taken, aligning with previous Barrier Task research (Derksen et al., 2015). 

The four most commonly used phrases to describe each card were accessible as descriptors, with the least common of the four presented initially.