Emotion and Memory in Technology Adoption and Diffusion

Data collected from 74 health care workers were used to measure if inspiration improves memory and affects end user intention to adopt a digitized patient record software application, through reduced errors and decreased completion times. Statistics showed that inspiration from software trainers affected individual behavior. Inspiration had an impact, through memory, on acceptance of the technology. Thirty seven “inspired” end users’ Cortisol levels were measured and compared to a control group (37). The inspired group demonstrated a 15% increase in baseline salivary Cortisol levels. The proposed model was nomologically validated through the use of a portable platform loaded with software for the electronic collection of data. Embedded metrics measured participants’ memory as operationalized by task completion time and number of errors. This paper introduces a scientific measurement of inspiration as a key driver that improves memory and affects end user intention to use a digitized patient record technology

Developing a model of the behavioural intentions of older adults towards internet service providers : a UK perspective

Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holdersCountries around the globe have an ageing population that faces problems such as cognition, memory and visual difficulties. Mobile devices and products are part of daily life and to utilise them the role of internet service providers is essential. This research-in-progress paper aims to identify and evaluate factors that influence the older population’s (over 50 years) selection of an internet service provider (ISP) as well as their continuous intention and behaviour to remain with the ISP. The outcomes of this research study are aimed at policymakers, academia and industryFinal Published versio

The use of UTAUT and Post Acceptance models to investigate the attitude towards a telepresence robot in an educational setting

(1) Background: In the last decade, various investigations into the field of robotics have created several opportunities for further innovation to be possible in student education. However, despite scientific evidence, there is still strong scepticism surrounding the use of robots in some social fields, such as personal care and education; (2) Methods: In this research, we present a new tool named: HANCON model that was developed merging and extending the constructs of two solid and proven models: the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the factors that may influence the decision to use a telepresence robot as an instrument in educational practice, and the Post Acceptance Model to evaluate acceptability after the actual use of a telepresence robot. The new tool is implemented and used to study the acceptance of a Double telepresence robot by 112 pre-service teachers in an educational setting; (3) Results: The analysis of the experimental results predicts and demonstrate a positive attitude towards the use of telepresence robot in a school setting and confirm the applicability of the model in an educational context; (4) Conclusions: The constructs of the HANCON model could predict and explain the acceptance of social telepresence robots in social contexts

Sustaining Patient Engagement: The Role of Health Emotion and Personality Traits in Patient Portal Continuous Use Decision

Healthcare providers increasingly rely on technology, such as patient portals, for asynchronous communication with their patients. Even though clinicians have increasingly adopted patient portals to enhance healthcare quality and reduce cost, few patients continue to use this technology. In this paper, we investigate the effect that individuals’ health emotion and personality traits as measured using the five-factor model (FFM) have on patients’ intention to continually use patient portals through the lens of emotional dissonance theory. We collected survey data from 187 patients at a major medical center in the Midwestern United States. After we analyzed the data using structural equation modeling, we found that the final model explained 40 percent of the variance in intention to continue to use. Our results suggest that whether individuals continue to use technology depends on their reactions to technology in which health emotions and personality traits play a crucial part. Additionally, health emotion modifies the effect that personality traits have on patients’ intention to continue to use a patient portal. Our study provides healthcare organizations with an integrated view of patient portal use behavior and shows that individual personality traits and health emotion may increase sustainable patient enrollment and engagement

Sustaining Patient Engagement: The Role of Health Emotion and Personality Traits in Patient Portal Continuous Use Decision

Healthcare providers increasingly rely on technology, such as patient portals, for asynchronous communication with their patients. Even though clinicians have increasingly adopted patient portals to enhance healthcare quality and reduce cost, few patients continue to use this technology. In this paper, we investigate the effect that individuals’ health emotion and personality traits as measured using the five-factor model (FFM) have on patients’ intention to continually use patient portals through the lens of emotional dissonance theory. We collected survey data from 187 patients at a major medical center in the Midwestern United States. After we analyzed the data using structural equation modeling, we found that the final model explained 40 percent of the variance in intention to continue to use. Our results suggest that whether individuals continue to use technology depends on their reactions to technology in which health emotions and personality traits play a crucial part. Additionally, health emotion modifies the effect that personality traits have on patients’ intention to continue to use a patient portal. Our study provides healthcare organizations with an integrated view of patient portal use behavior and shows that individual personality traits and health emotion may increase sustainable patient enrollment and engagement

Chasing the Chatbots: Directions for Interaction and Design Research

Big tech-players have been successful in pushing the chatbots forward. Investments in the technology are growing fast, as well as the number of users and applications available. Instead of driving investments towards a successful diffusion of the technology, user-centred studies are currently chasing the popularity of chatbots. A literature analysis evidences how recent this research topic is, and the predominance of technical challenges rather than understanding users’ perceptions, expectations and contexts of use. Looking for answers to interaction and design questions raised in 2007, when the presence of clever computers in everyday life had been predicted for the year 2020, this paper presents a panorama of the recent literature, revealing gaps and pointing directions for further user-centred research

Psychologically Plausible Models in Agent-Based Simulations of Sustainable Behavior

Agent-based modelling (ABM) proves successful as a methodology for the social sciences. To continue bridging the micro-macro link in social simulations and applying ABM in real-world conditions, conventional and often simplified models of decision-making have to be utilized and extended into psychologically plausible models. We demonstrate the contribution of such models to enhance validation and forecasts in social simulations with two examples concerned with sustainable behavior. We start with the Consumat framework to demonstrate the contribution of an established psychological plausible decision-making model in various scenarios of sustainable behavior. Then we use the SiMA-C model to explain how different psychological factors generate social behavior and show how a detailed model of decision-making supports realistic empirical validation and experimentation. A scenario of social media prompting of environmental-friendly behavior exemplifies the details of how individual decision-making is influenced by the social context. Both examples, Consumat and SiMA-C, emphasize the importance of psychological realism in modelling behavioral dynamics for simulations of sustainable behavior and provide explanations on the psychological level that enable the development of social policies on the individual level

Beyond Utility: An inductive investigation into non-utility factors influencing consumer adoption and use of ICT

This study explores the adoption and use of Information and Communications Technologies (ICTs) in a context marked by ubiquitous connectivity and intense social interaction. Research in the field has predominantly explored the topic within closed and private contexts, such as work and education environments. Resulting theories tend to lose predictive strength when transferred to open and social contexts. Specifically, theories often assume that behaviour is shaped exclusively by the utility derived from technological functions – an occurrence more common in closed and private settings. Other influencing factors, whilst acknowledged, tend to be sidelined or treated as exceptions. Further complexities arise as theorists misread and mistreat user perceptions and intentions. The study combines an inductive strategy with a Skinnerian radical behaviourist philosophical worldview. Individual accounts and group discussion about online social networking and smartphone ownership were captured in a natural social setting. A total of 35 technology users from Malta aged between 18 and 40 years participated in face-to-face interviews and focus group discussions. In contrast to other studies, verbal accounts and group interaction were treated and analysed as social behaviour and not as cognitive decision processes. Findings show that a more holistic understanding emerges if the social and internal dimensions are considered alongside environmental consequences. Results indicate that beyond utilitarian benefits, users also seek pleasure and social status whilst averting risk and minimising cost and disruption. The study shows that consumer ICTs are different from other technologies, such as cars and refrigerators, since these are tools specifically designed for application within verbal behaviour. ICTs can be applied as tools to communicate information, share past experiences, provide feedback to others, and confer social status on others. ICT applications elicit feedback from listeners and observers rather than cause measurable changes in the environment. The study builds on this insight by proposing a conceptual framework as an interpretative tool for practitioners and as a theoretic proposition for future inquiry

Use of a controlled experiment and computational models to measure the impact of sequential peer exposures on decision making

It is widely believed that one's peers influence product adoption behaviors. This relationship has been linked to the number of signals a decision-maker receives in a social network. But it is unclear if these same principles hold when the pattern by which it receives these signals vary and when peer influence is directed towards choices which are not optimal. To investigate that, we manipulate social signal exposure in an online controlled experiment using a game with human participants. Each participant in the game makes a decision among choices with differing utilities. We observe the following: (1) even in the presence of monetary risks and previously acquired knowledge of the choices, decision-makers tend to deviate from the obvious optimal decision when their peers make similar decision which we call the influence decision, (2) when the quantity of social signals vary over time, the forwarding probability of the influence decision and therefore being responsive to social influence does not necessarily correlate proportionally to the absolute quantity of signals. To better understand how these rules of peer influence could be used in modeling applications of real world diffusion and in networked environments, we use our behavioral findings to simulate spreading dynamics in real world case studies. We specifically try to see how cumulative influence plays out in the presence of user uncertainty and measure its outcome on rumor diffusion, which we model as an example of sub-optimal choice diffusion. Together, our simulation results indicate that sequential peer effects from the influence decision overcomes individual uncertainty to guide faster rumor diffusion over time. However, when the rate of diffusion is slow in the beginning, user uncertainty can have a substantial role compared to peer influence in deciding the adoption trajectory of a piece of questionable information

Understanding the Balanced Effects of Belief and Feeling on Information Systems Continuance

There are innumerable studies on technology adoption as well as continuance of usage. A review of previous research shows that cognitive factors are considered prominently in information technology adoption and continuance while the affective feelings of users are not. Although attitude and user satisfaction are common factors considered in information systems research, these factors only involve partial aspects of feelings. Researchers in the marketing areas, as well as the psychology area, begin to note the importance of feelings in understanding and predicting human and customer behavior. In many modern applications, such as mobile Internet services, user feelings are expected to be important, since users are not just technology users but also service consumers. Drawing upon the support of consumer research, social psychology, and computer science, this study proposes a balanced belief–feeling model of IS continuance. In the process of developing this model, the concepts of attitude, belief, and feelings are further articulated, defined, and distinguished. The balanced model is tested in a survey of mobile Internet users. The results established the validity of the model. A comparison with the IS continuance model shows that the new model can explain significantly more variance in continuance intention, taking into account that the new model has more factors. We offer theoretical reasoning for the balanced effects of belief and feeling on IS continuance and discuss the theoretical and practical implications of this study