2019.11 News Weekly 1
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Vered, Mor, Frank Dignum, and Tim Miller. “Let’s Make It Personal, A Challenge in Personalizing Medical Inter-Human Communication.” arXiv preprint arXiv:1907.12687 (2019).
- Motivation: Current AI approaches have frequently been used to help personalize many aspects of medical experiences and tailor them to a specific individuals’ needs. However, while such systems consider medically-relevant information, they ignore socially-relevant information about how this diagnosis should be communicated and discussed with the patient.
- Methods:
- propose the challenge of creating Intelligent Agents (IAs) to assist medical service providers (MSPs) and consumers in establishing a more personalized human-to-human dialogue.
- propose a four-part conceptual framework for personalized social interactions, expand on which techniques are available within current AI research and discuss what has yet to be achieved.
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Dastjerdi, Aliasghar Mehdizadeh, et al. “Use intention of mobility-management travel apps: The role of users goals, technophile attitude and community trust.” Transportation Research Part A: Policy and Practice 126 (2019): 114-135.
- Motivation: persuasive interventions delivered through mobility-management tools have received attention as a means to motivate change for sustainable urban mobility.
- Research question: pinpoint and understand the driver that influence individuals’ travel decisions when using travel apps including both travel information and persuasive features.
- Methods: questions 822 Danish travelers by distributing a technology-use preference survey. structural equation models
- Results:
- trip efficiency improvement, enjoyment, social interaction and environmentally-friendly travel promotion are important motives for using the new app;
- individuals have different intentions according to the perceived value of the new information system as well as travel purposes;
- technophile attitude exerts a positive influence on both user motives and use intention
- social and institutional trust in addition to an affective bond to the city influence the use intention of the travel app.
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王琼. 高铁乘客候车时间利用类型及其影响因素研究[D].南京大学,2018.
- Motivation: 高铁候车时间
- Results:
- 76%休闲活动，57%工作活动，35%消费活动，30%生活活动
- 92%使用手机，66%不使用手机
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Pfleging, Bastian, Maurice Rang, and Nora Broy. “Investigating user needs for non-driving-related activities during automated driving.” Proceedings of the 15th international conference on mobile and ubiquitous multimedia. ACM, 2016.
- Research question: investigate which non-driving-related ac- tivities drivers want to perform while driving highly or fully automated.
- which activities the drivers want to perform once they do not have to steer or monitor their car any more
- which of those will be feasible
- Results:
- besides traditional activities (talking to passengers, listening to music),
- daydreaming,
- writing text messages,
- eating and drinking,
- browsing the Internet,
- calling are most wanted for highly automated driving.
- This shows the potential for mobile and ubiquitous multimedia applications in the car.
- Research question: investigate which non-driving-related ac- tivities drivers want to perform while driving highly or fully automated.