Designing effective haptic interaction

Williams, Jason P.; Michelitsch, Georg

doi:10.1145/765891.766033

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…Indeed, adapting the damping level proportionally to the user mental workload or toggling inverted damping [23] only if the user presents a high mental workload are options that should be studied. Concerning the measurements of the mental workload, a combination of EEG with other modalities such as Galvanic Skin Response in a multi-modal measurement system could increase the reliability of the mental workload index.…”

Section: Discussionmentioning

confidence: 99%

Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistance

George

Marchal

Glondu

et al. 2012

Haptics: Perception, Devices, Mobility, and Communication

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Abstract. In this paper we introduce the combined use of BrainComputer Interfaces (BCI) and Haptic interfaces. We propose to adapt haptic guides based on the mental activity measured by a BCI system. This novel approach is illustrated within a proof-of-concept system: haptic guides are toggled during a path-following task thanks to a mental workload index provided by a BCI. The aim of this system is to provide haptic assistance only when the user's brain activity reflects a high mental workload. A user study conducted with 8 participants shows that our proof-of-concept is operational and exploitable. Results show that activation of haptic guides occurs in the most difficult part of the pathfollowing task. Moreover it allows to increase task performance by 53% by activating assistance only 59% of the time. Taken together, these results suggest that BCI could be used to determine when the user needs assistance during haptic interaction and to enable haptic guides accordingly.

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Section: Discussionmentioning

confidence: 99%

Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistance

George

Marchal

Glondu

et al. 2012

Haptics: Perception, Devices, Mobility, and Communication

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“…On the other hand, developers and designers might explore alternative modalities for the interaction between teachers and technologies. Haptic perception (e.g., (Williams and Michelitsch 2003)), proprioception (sense of the positions and postures of our own body and limbs, see, for example, (Lopes et al 2015)) and other modalities of perception may also be utilized to support teachers' technology-related tasks, making the tasks easier to be performed in quasi parallel with other tasks. For example, imagine a bracelet that can work as a timer and give haptic feedback to the teacher.…”

Section: Design Opportunity 1: Disburdening Teachers' Eyes and Earsmentioning

confidence: 99%

Understanding teachers’ routines to inform classroom technology design

Bakker

Eggen

2016

Educ Inf Technol

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Secondary school teachers have quite busy and complex routines in their classrooms. However, present classroom technologies usually require focused attention from teachers while being interacted with, which restricts their use in teachers' daily routines. Peripheral interaction is a human-computer interaction style that aims to enable interaction to take place both in the center and periphery of users' attention and naturally shift between the two. We believe that classroom technologies employing the principles of peripheral interaction can reduce attentional resources required for teachers to interact with the technologies, and thus make technologies seamlessly blend into teachers' routines. In order to design such technologies, a thorough understanding of users' existing routines is crucial. In this paper, we present a qualitative study on everyday routines of seven Dutch secondary school teachers using contextmapping methodology. The results of two qualitative content analyses reveal an overview of teachers' routine tasks in their classrooms, as well as rich and vivid contextual information about how teachers allocated their attention in their routines and how teachers experience their routines. Based on these findings, we present opportunities and considerations that may inform the design and development of classroom technologies which are to become part of teachers' routines.

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“…In addition, it was found that weaker assistive forces were more effective than more rigid forces. Williams et al investigated the use of dampening with a group of non-disabled individuals [26]. In their experiments, they applied inverted dampening to a stylus-type haptic device and studied performance during targeting tasks.…”

Section: Haptic Effect Designmentioning

confidence: 99%

“…In order to determine the appropriate haptic effects, a range of previous studies were consulted [1,3,4,14,26]. Results of these studies were then used to establish what effects exist, which of those effects improve performance, and which effects are a good fit for the target group.…”

Section: Effect Selectionmentioning

confidence: 99%

Design and evaluation of haptic effects for use in a computer desktop for the physically disabled

Holbert

Huber

2010

Univ Access Inf Soc

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The human-computer interface remains a mostly visual environment with little or no haptic interaction. While haptics is finding inroads in specialized areas such as surgery, gaming, and robotics, there has been little work to bring haptics to the computer desktop, which is largely dominated today by the GUI/mouse relationship. The mouse as an input device, however, poses many challenges for users with physical disabilities, and it is believed that a haptically enhanced interface could have significant impact assisting in target selection. This paper presents a study intended to evaluate haptic effects used with a force feedback mouse on a computer desktop and a prediction algorithm designed to focus those effects on the desired target. Results of the experiment were partially successful and indicated future directions for improvement. The paper introduces the proposed framework and presents experimental results from targeting tasks using differing haptic effects with a group of physically disabled users.

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Designing effective haptic interaction

Cited by 9 publications

References 2 publications

Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistance

Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistance

Understanding teachers’ routines to inform classroom technology design

Design and evaluation of haptic effects for use in a computer desktop for the physically disabled

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