基于概念外延的用户认知表达-——以智能冰箱的用户认知研究为例

--用户认知具有主观性、模糊性、进化性及多维性等不确定性特点,难以编码与度量。提出以概念外延表达的集合论方法与模糊数学把研究用户认知转换成研究代表它的因素集合;提出用数据驱动的互联网文本挖掘获取因素集,采用TF-IDF与模糊统计求解因素的隶属度,完成用户认知的数学表达,为进一步研究提供数学基础;最后以海信智能冰箱项目进行论证。由于用户认知属于典型的不确定性复杂对象,论文所用方法适用于所有复杂对象的建模与求解。     

Acceptance of visual and audio interventions for distracted pedestrians

Distraction from mobile devices increases pedestrian risks at intersections. Innovative interventions are currently installed at road and rail intersections to alert pedestrians. These interventions will be effective only if pedestrians modify their behaviour. The Technology Acceptance Model (TAM) posits that behaviour changes as a result of behavioural intention, which is affected by perceived usefulness and perceived ease of use. However, the link between intention and actual behaviour is often overlooked. The current study aims to investigate this link and apply this theoretical framework to interventions for distracted pedestrians. We conducted a day-time field study at three railway level crossings in New Zealand with such interventions reminding pedestrians to look for trains: in-ground flashing lights located at footpath level, an audio warning message, and in-ground flashing lights combined with the audio warning message. Participants (N = 34, Mean age 33.6, SD = 8.6 years) walked through level crossings while performing a distractor task (visual and auditory distraction) or when not distracted. Actively checking for trains from both sides of the crossing was used as a measure of actual behaviour. All three interventions were perceived as useful (5.1 ± 0.4) and easy to use (5.6 ± 0.2) and resulted in positive intention to use the technology (5.8 ± 0.3). Statistical analyses confirmed that the TAM constructs - particularly perceived usefulness - affected intention, and intentions lead to behavioural change with improved crossing behaviours. This study highlights the importance of perceived usefulness and intentions to use the interventions with reducing distracted pedestrian behaviours.     

Managing emotion online

I apply emotion work to a case study of reader responses on the blog, Young House Love, owned by Sherry and John Petersik. The author performed a qualitative analysis of 1070 comments, examining readers' collective emotion work. After learning of the bloggers' hiatus, YHL readers responded using interpersonal and personal emotion management techniques. Comments exhibit deep acting and surface acting strategies directed primarily at the bloggers and their perceived emotional state. Positive sentiment emerged among comments as readers shared personal stories of connection, influence, expressions of support, and accounts. Furthermore, readers' comments reveal feeling rules guiding the YHL bloggers and readers. Thus, discursive efforts to influence the bloggers' emotions are conceptually linked to readers' attempts to rescue and repair the bloggers' public persona on YHL. This analysis confirms the relevance of Goffman's (1959) and Hochschild's (1979) work online and explores blogs as a tool for managing emotion. I also discuss the importance of the comments section in the co-creation of a blog.     

Understanding charging behaviour of electric vehicle users

We examined the psychological dynamics underlying charging behaviour of electric vehicle (EV) users. Data from 79 EV users were assessed in a 6-month EV field study. On average, users charged their EV three times per week, drove 38 km per day, and they typically had a large surplus of energy remaining upon recharging. Based on first findings concerning charging style among mobile phone users, we hypothesized that user–battery interaction style (UBIS) is a relevant variable for understanding charging behaviour of EV users. We developed measures to assess UBIS. Results show that it is a relatively temporally stable characteristic which also shows some cross-device consistency. As predicted by our conceptual model, UBIS and comfortable range explain the charge level at which people typically recharged. UBIS was related to users’ confidence in their mental model of range dynamics, the utilization of range, and to excess energy from renewable sources. This research has implications for optimizing sustainability of electric mobility systems.     

When News Meets the Audience: How Audience Feedback Online Affects News Production and Consumption

Innovations in communication technology have changed the way news is produced and consumed. Various digital platforms, ranging from news websites to social media sites to personal blogs, have enabled news users to indicate how much they like the news they have read, to share it with others, and to leave comments. News users' mouse clicks are automatically recorded and aggregated by computational systems and made publicly visible (e.g., “Most Read Articles”). This essay reviews the ever‐growing research on how audience feedback online, a hybrid form of interpersonal and mass communication, alters various stages of news production and influences the way people select, process, and make sense of the news. Future research agendas are proposed.     

Generation and evaluation of user tailored responses in multimodal dialogue

When people engage in conversation, they tailor their utterances to their conversational partners, whether these partners are other humans or computational systems. This tailoring, or adaptation to the partner takes place in all facets of human language use, and is based on a mental model or a user model of the conversational partner. Such adaptation has been shown to improve listeners’ comprehension, their satisfaction with an interactive system, the efficiency with which they execute conversational tasks, and the likelihood of achieving higher level goals such as changing the listener’s beliefs and attitudes. We focus on one aspect of adaptation, namely the tailoring of the content of dialogue system utterances for the higher level processes of persuasion, argumentation and advice-giving. Our hypothesis is that algorithms that adapt content for these processes, according to a user model, will improve the usability, efficiency, and effectiveness of dialogue systems. We describe a multimodal dialogue system and algorithms for adaptive content selection based on multi-attribute decision theory. We demonstrate experimentally the improved efficacy of system responses through the use of user models to both tailor the content of system utterances and to manipulate their conciseness.     

Factors affecting perceived safety and enjoyment based on driver experience

A positive driving experience, especially for older drivers, increases the attention to the emotional dimensions of driving, such as the driver’s perceived safety. Therefore, this study empirically presents factors affecting driver experience and compares them between older and younger drivers. Consequently, we conducted a face-to-face survey on elderly and young drivers and analyzed the data of 246 drivers using structural equation modeling. The analysis presented measurements and structural model evaluations. Considering the analysis, it was found that driving-related information and car-exterior context affect the perceived safety and enjoyment of a driver’s experience. Additionally, car-exterior context exerts a greater influence on the perceived safety and enjoyment of the elderly drivers’ group than the young drivers’ group. The results of this study will empirically contribute to the satisfaction of driver experience and perceived safety improvement in the future. It also provides a basis for the development of driving interfaces to improve the quality of the driving experience of the elderly.     

The effects of gender differences on the usability of automotive on-board navigation systems – A comparison of 2D and 3D display

This study integrated gender with the user interface of automotive on-board navigation systems to analyze whether gender differences or 2D (2 dimensional) vs. 3D (3 dimensional) display affect the interface usability of an on-board car navigation system (CNS). An experimental design was adopted for collecting data from three tasks – locating points, planning routes, and searching polygons – each emphasizing a different aspect of way-finding. The participants reported their subjective usability via the System Usability Scale after each trial. Study results show that gender, the CNS interface the subject used, and a combination of both predict the usability of an on-board CNS. This study’s results provide a clearer understanding of whether manufacturers should develop interfaces that fit a CNS 2D or 3D display based on gender.