Use context to understand user's implicit intentions in Activities of Daily Living

Liu, Rui; Zhang, Xiaoli; Li, Songpo

doi:10.1109/icma.2014.6885872

Cited by 12 publications

(9 citation statements)

References 14 publications

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“…With statistical learning methods in equations (10) and (11), the sensory data was interpreted into intention-related knowledge by measuring the involvements and influences of these statuses given a human intention. (b) The feature selection method was developed for selecting the dominant feature statuses related to a human intent, as shown in equation (5). With this method, the interpreted knowledge is truly useful for understanding practical human intentionrelated situations.…”

Section: Discussionmentioning

confidence: 99%

“…. ; K p given a specific intention I g , are lower than a threshold , we define the context C p as a RC features, shown in equation (5). We also define s pk with the correlation strength f ðs pk jI g Þ higher than a threshold }6 is the strongly correlated context status, which imposes a key influence on I g .…”

Section: Context Processingmentioning

confidence: 99%

“…2 Given this situation, assistance robots that help the elderly with activities of daily living (ADLs) have been introduced to improve the elderly's quality of life. 4,5,6 Typical applications include navigation robots, 7 rehabilitation robots, 1,8 and smart reminders. 9,10 Robotic caregiving requires robots to be sufficiently intelligent in order to implicitly and naturally understand a user's intentions with minimal human physical involvements.…”

Section: Robotic Elderly Caregivingmentioning

confidence: 99%

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Fuzzy context-specific intention inference for robotic caregiving

Liu

Zhang

2016

International Journal of Advanced Robotic Systems

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To provide timely and appropriate assistance, robots must have the capability of proactively understanding a user's personal needs, the so-called human intention inference. In human-human interaction, humans have a natural and implicit way to infer others' intentions by selecting correlated context features and interpreting these features based on their life experience. However, robots do not have this capability and it is not realistic to build an explicit formula to associate human intentions with context. In this article, a novel fuzzy context-specific intention inference method is developed for human-like implicit human intention inference. With a fuzzy manner, context features are converted into discrete context statuses, which are similar to human subjective feelings. An intention-centered common sense database is developed consisting of correlated fuzzy context statuses, object affordances, and their relationship with human intentions. With this database, a Fuzzy Naïve Bayesian Network algorithm is adopted for implicit intention inference. Home scenario results validated the fuzzy context-specific intention inference methods reliability and lab scenario results validated the fuzzy context-specific intention inference methods effectiveness and robustness. This work is expected to develop intuitive and effective human-robot interaction, consequently enhancing the adoption of assistive technologies and improving the independence of the disabled and elderly in activities of daily living.

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Section: Discussionmentioning

confidence: 99%

Section: Context Processingmentioning

confidence: 99%

Section: Robotic Elderly Caregivingmentioning

confidence: 99%

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Fuzzy context-specific intention inference for robotic caregiving

Liu

Zhang

2016

International Journal of Advanced Robotic Systems

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“…Implicit intentions are the type of goals that users are not directly mentioned but hidden in explicit activities. Liu et al [46] revealed the user's implicit intention to adopt a pension insured program. The fuzzy comprehensive evaluation method has been used to combine with the analytical hierarchy process (AHP) to assess the insured wishes index system [11,12].…”

Section: Implicit Intentionsmentioning

confidence: 99%

“…In [44] the authors depicted the intent recommendations using two reallife datasets Movie lens and Tmall. The articles [45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61] used commercial, personal assistant clicks, and views log as a dataset to predict intention with its real-time context.…”

Section: Search Engine Log Datamentioning

confidence: 99%

Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges

Rashid

Farooq

Abid

et al. 2021

Complex Intell. Syst.

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Intention mining is a promising research area of data mining that aims to determine end-users’ intentions from their past activities stored in the logs, which note users’ interaction with the system. Search engines are a major source to infer users’ past searching activities to predict their intention, facilitating the vendors and manufacturers to present their products to the user in a promising manner. This area has been consistently getting pertinence with an increasing trend for online purchasing. Noticeable research work has been accomplished in this area for the last two decades. There is no such systematic literature review available that provides a comprehensive review in intension mining domain to the best of our knowledge. This article presents a systematic literature review based on 109 high-quality research papers selected after rigorous screening. The analysis reveals that there exist eight prominent categories of intention. Furthermore, a taxonomy of the approaches and techniques used for intention mining have been discussed in this article. Similarly, six important types of data sets used for this purpose have also been discussed in this work. Lastly, future challenges and research gaps have also been presented for the researchers working in this domain.

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A comprehensive review of task understanding of command-triggered execution of tasks for service robots

Zhu

2022

Artif Intell Rev

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Use context to understand user's implicit intentions in Activities of Daily Living

Cited by 12 publications

References 14 publications

Fuzzy context-specific intention inference for robotic caregiving

Fuzzy context-specific intention inference for robotic caregiving

Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges

A comprehensive review of task understanding of command-triggered execution of tasks for service robots

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